ux case study healthcare

Healthcare UX Design Challenges and Solutions by UX 4Sight

Healthcare UX design is more than just creating a smooth interface. It's about ensuring patients, providers, and caregivers have seamless and intuitive interactions that could impact lives. 

In a field where every detail counts, effective UX design becomes a vital part of the healthcare journey, making complex tasks easier and critical information more accessible. However, UX design for healthcare comes with unique challenges. Complex systems, strict regulations, and diverse user needs can make the process daunting. 

In this post, we’ll explore how UX 4Sight tackles these issues. From improving workflow to ensuring usability across diverse user groups, we’ll uncover practical solutions that enhance both the experience and efficiency in healthcare settings.

What is Healthcare UX Design?

Healthcare UX design is the process of crafting user experiences specifically for the healthcare industry. It enables you to create digital tools and platforms that are easy to use, accessible, and tailored to the needs of patients, providers, and administrators. The goal is to ensure that these interactions are intuitive and efficient, reducing the margin for error and improving overall care.

In an industry where precision is crucial, the importance of healthcare UX design cannot be overstated. It’s not just about aesthetics; it’s about functionality and accessibility. UX design in healthcare ensures that patients can navigate their health records, book appointments, and communicate with providers without confusion. For healthcare professionals, it means quick access to vital information, enabling them to make informed decisions swiftly.

Healthcare UX design adheres to industry standards like HIPAA for data security, ensuring that user interactions are both safe and seamless.

Why Great Healthcare UX Design Should Be a Priority 

Healthcare UX design isn’t just about creating visually appealing interfaces . It’s about designing systems that enhance the user’s interaction with complex medical tools. When UI/UX design healthcare is prioritized, it leads to better patient engagement, more accurate data collection, and improved overall experiences for both patients and healthcare providers. The stakes are high in healthcare, and poor design can lead to confusion, errors, and even harm.

Impact of Healthcare UX Design on Patient Outcomes and Satisfaction

Healthcare UX design directly influences patient outcomes and satisfaction. When patients can easily navigate healthcare platforms, they are more likely to stay engaged with their treatment plans. 70% of patients are more likely to switch their healthcare providers to improve their experience. This shows how important a well-designed UX is in the healthcare industry.

Moreover, improving UX design can lead to a significant increase in patient satisfaction scores. Patients appreciate a user-friendly UX design in healthcare systems that is easy to understand and use, especially when managing something as important as their health.

The Role of UX Design in Improving Healthcare Delivery and Efficiency

Great healthcare UI/UX design is essential for improving healthcare delivery and efficiency. In busy medical environments, time is of the essence. When healthcare professionals use systems with poor UX design, it can slow down their workflow, leading to delays in patient care. Conversely, a well-designed system streamlines processes, allowing healthcare workers to access patient information quickly and efficiently.

For instance, the implementation of intuitive electronic health records (EHR) systems has been found to significantly reduce the time physicians spend on administrative tasks. This means more time can be dedicated to patient care, improving overall efficiency.

Statistics and Studies Showcasing the Benefits of Great UX Design

The numbers speak for themselves when it comes to the benefits of great UX design in healthcare. A study by the Journal of Medical Internet Research found that improving healthcare website usability can boost user satisfaction by 90%. Higher satisfaction leads to better engagement, trust, and higher conversion rates.

Research from the American Medical Association (AMA) revealed that 60% of patients would choose one healthcare provider over another based on a strong online presence and website quality. This shows how crucial healthcare UX design is in shaping a positive impression and influencing patient decisions.

Examples of Good UX Design in Healthcare

One notable example of the impact of good UX design in healthcare is the redesign of the MyChart app by Epic Systems. This app, used by millions of patients to manage their healthcare, underwent a UX overhaul that made it easier to use and more intuitive. As a result, patient engagement with the app increased significantly. This redesign not only improved the patient experience but also helped healthcare providers by reducing the number of support calls related to app navigation.

Another example is the redesign of the VA’s EHR system, which improved usability for veterans accessing their medical records. The new design led to a significant reduction in user errors and an increase in user satisfaction. 

UX Challenges in Healthcare Design

Designing user experiences in healthcare is not an easy task. The challenges are numerous, ranging from strict regulations to diverse user needs. One of the biggest hurdles is balancing functionality with compliance, ensuring that systems are not only user-friendly but also meet stringent data privacy standards like HIPAA.

Data Privacy and Security

Protecting patient data is a top priority in healthcare UX design. However, creating secure systems often means adding layers of complexity, which can make the user experience less intuitive.

Sergey M, senior product designer at UX 4Sight, explains, "Designers must find a way to maintain security without sacrificing usability." For example, many patient portals struggle with this balance, requiring multiple steps for authentication that frustrate users but are necessary for protecting sensitive information.

Accessibility

Another challenge is making healthcare applications accessible to all users, regardless of their physical abilities or technical skills. Accessibility isn't just a legal requirement; it's crucial for ensuring that everyone can access their health information. A case in point is the redesign of the NHS app in the UK. Initially criticized for being difficult to navigate for older adults, the app was revamped with larger buttons and simplified navigation, resulting in a significant increase in user satisfaction.

User Engagement

Engaging users in healthcare platforms is another common challenge. Many users find healthcare apps overwhelming or confusing, leading to poor engagement rates. The MyFitnessPal app, for instance, initially struggled with user retention due to its complex interface. After a UX redesign focused on simplifying the user journey, engagement rates increased significantly. 

Healthcare UX design comes with unique challenges, but overcoming them is key to creating effective, user-friendly applications . By addressing issues like data privacy, accessibility, and user engagement, designers can create experiences that truly benefit patients and providers alike.

User-Friendly UX Design in Healthcare

Creating a user-friendly experience in healthcare is essential. It’s about building healthcare UX design systems that are easy to navigate, accessible to everyone, and ultimately improve patient outcomes. Let’s dive into the core principles of user-friendly UX design and why they matter in healthcare.

Simplicity is at the heart of user-friendly design. In healthcare, where users might be under stress or unfamiliar with technology, a simple interface can make all the difference. “The goal is to make complex tasks feel effortless,” says Waseem Bashir, conversion design strategist at UX 4Sight. 

A study by the American Medical Association found that simplifying electronic health records (EHR) interfaces led to a 25% reduction in user errors. An excellent example of simplicity in action is the Mayo Clinic app, which uses clear, concise language and straightforward app navigation , making it easier for patients to manage their health information.

Accessibility ensures that healthcare applications are usable by everyone, regardless of their abilities. This includes designing for those with visual, auditory, or motor impairments. 

A case study on the redesign of the MyChart app revealed that improving accessibility features like text-to-speech and adjustable text sizes led to a major increase in user satisfaction among elderly patients. 

 This principle not only meets legal requirements but also expands the reach of healthcare services.

Intuitive Navigation

Intuitive navigation means users should find what they need without frustration. In healthcare, this is particularly important because users often seek time-sensitive information. 

The Cleveland Clinic app is a prime example of intuitive navigation. By organizing content logically and providing clear, consistent pathways to key features, the app increased patient engagement massively. 

Impact of User-Friendly Design on Patient Engagement and Satisfaction

User-friendly design significantly impacts patient engagement and satisfaction. When patients can easily access their health information and interact with healthcare providers through intuitive platforms, they are more likely to stay engaged in their care.

User-friendly healthcare UX design is not just a luxury; it’s a necessity. By focusing on simplicity, accessibility, and intuitive navigation, healthcare applications can greatly improve patient engagement and satisfaction. As the data shows, investing in user-friendly design leads to better outcomes for both patients and providers.

Breaking into Healthcare UX Design: Best Practices

Healthcare UX design requires a unique approach. The stakes are high, and getting it right can significantly impact patient care. Here’s an overview of the best practices and key principles to follow in this crucial field.

Key Principles and Methodologies

To design effective healthcare applications, certain principles and methodologies are essential:

• User-Centered Design: Focus on the needs and challenges of users. This means involving patients and healthcare professionals throughout the design process.
• Compliance and Security: Ensure that designs adhere to regulations like HIPAA to protect sensitive patient data.
• Accessibility: Make sure your design is usable by everyone, including those with disabilities.

Tips for Creating User-Centered Healthcare Applications

• Conduct Thorough User Research: Understand your users’ needs through surveys, interviews, and observations. This helps tailor your design to real-world needs.
• Develop Prototypes Early: Create early models of your design to visualize concepts and gather feedback.
• Iterate Based on Feedback: Test your designs frequently and refine them based on user feedback to ensure they meet user needs effectively.

User Research

User research is foundational in healthcare UX design. It involves gathering insights directly from patients and healthcare professionals. This helps designers understand pain points and preferences. For instance, the redesign of the MedlinePlus website incorporated extensive user feedback, leading to a more intuitive interface and a major increase in user satisfaction.

Prototyping

Wireframing and prototyping allow designers to test and refine their ideas before final implementation. By developing low-fidelity prototypes, teams can quickly explore different design approaches and make necessary adjustments. The redesign of the Cerner EHR system used rapid prototyping to test features with real users, which significantly improved the final product's usability.

Iterative Testing

Iterative testing involves continuously testing and improving the design based on user feedback. This approach helps identify and address issues early in the design process.

Examples of Successful Healthcare Applications

Several healthcare applications have successfully implemented these best practices. The Teladoc app, for example, used user research to create a streamlined telemedicine experience. Prototyping and iterative testing helped refine features, resulting in a user-friendly app that saw a massive increase in user engagement. Similarly, the redesign of the Kaiser Permanente app incorporated user feedback and iterative testing to enhance its interface, leading to improved patient satisfaction scores.

Breaking into healthcare UX design involves adhering to best practices such as user research, prototyping, and iterative testing. By focusing on these areas, designers can create applications that meet user needs, improve engagement, and ultimately enhance patient care.

Solutions by UX 4Sight in Healthcare UX Design - Case Study

Let’s take a look at a case study where UX 4Sight managed to significantly enhance the user experience and efficiency of applications in the health industry. 

Top EMR Application Made Easier for Efficiency and Healthcare Safety

Epic Systems Corporation, a leader in Electronic Medical Records (EMR) software, serves a vast network of hospitals globally, managing records for 54% of U.S. patients and 2.5% of patients worldwide. Despite its widespread use, Epic’s EMR system faced significant usability issues, impacting productivity and increasing the risk of errors.

The U.S. federal government mandated that EMR software providers enhance usability. To meet this challenge, Epic turned to UX 4Sight for expert guidance on making their software more intuitive and user-friendly.

Our initial evaluation revealed several key obstacles with Epic’s EMR software:

• Complex Workflow and Navigation: Physicians struggled with convoluted processes and finding necessary information.
• Redundant Data Entry: Multiple options for inputting and retrieving patient data led to confusion and inefficiency.
• Limited Information Access: Difficulty in locating information meant only 50-60% of relevant data was accessed.

To address these issues, we:

• Conducted a thorough usability audit with physicians.
• Created wireframes based on our findings.
• Validated designs and identified issues collaboratively to develop targeted solutions.
• Standardized content for ease of use and consistency.
• Used data-driven metrics to evaluate design success.

Our solutions focused on improving Epic’s EMR system’s usability and efficiency:

• Streamlined Software: We removed rarely used features to simplify the interface.
• Optimized Screen Density: Reduced redundant links and organized menu items into default and customizable categories.
• Enhanced Navigation: Improved navigation by limiting menu items and using clear text labels instead of icons.
• Increased Clarity: Improved information presentation to reduce confusion.
• Reduced Training Time: Simplified the interface to minimize the need for formal training, increasing productivity.

Key Results

Our interventions led to:

• Enhanced Productivity: Physicians experienced a notable increase in efficiency.
• Reduced Errors: Simplified design decreased the likelihood of errors, improving patient safety.
• Decreased Training Needs: Less time spent on training resulted in cost savings and quicker adoption.

Real-Life Examples of Overcoming UX Design Hurdles

Let’s take a look at a case study where UX 4Sight helped healthcare organizations overcome UX design hurdles. 

252% Lift in Online Appointment Scheduling

Immediate Care Center of Westmont (ICCW), a top-rated urgent care center in Chicago's west suburbs, faced a significant challenge. Despite their stellar reputation, their website wasn’t converting visitors into patients as effectively as it could. Although their Google AdWords campaign successfully drove traffic to their site, many visitors left without making appointments or calls. ICCW approached UX 4Sight to help turn these missed opportunities into conversions.

Identifying the Problem

UX 4Sight began the healthcare UX design process by conducting a thorough analysis of ICCW’s website. We identified several issues: a disorganized layout, fragmented information architecture, and a lack of clear calls to action (CTAs). The site’s design didn’t guide users effectively, leading to confusion and lost conversions.

Brainstorming Solutions

To tackle these challenges, UX 4Sight focused on several key areas:

• Information Architecture: They restructured the site’s layout, ensuring that important information was easy to find and logically organized.
• Visual Design: The team improved the visual design, adding white space and grouping similar objects according to Gestalt principles to make the site more intuitive.
• CTAs: Prominent CTAs for scheduling appointments and contacting the center were strategically placed, making it easier for users to take action.

Implementing Changes

After implementing these changes, ICCW’s website saw a dramatic improvement. Online call conversions soared by 252% per month. The new design not only looked better but also performed better, guiding visitors seamlessly through the process of scheduling an appointment.

Client Feedback

Dr. Amer Alhussaini, President of ICCW, praised UX 4Sight’s work: “UX 4Sight surprised us with their strategic approach. Our new website has helped us convert more website traffic into patients. Our patients love it!”

This case study highlights the power of effective UX design in transforming a website’s performance, leading to tangible business results and improved patient satisfaction.

Why Choose UX 4Sight as Your Healthcare UX Design Agency

When it comes to healthcare UX design, UX 4Sight stands out for its unique expertise and proven track record. With years of experience in the healthcare sector, UX 4Sight understands the intricate needs of the industry. This deep knowledge allows the agency to create user experiences that are not only intuitive but also compliant with healthcare regulations.

Proven Track Record

UX 4Sight has consistently delivered successful projects that have made a real difference in healthcare settings. For instance, its work with Epic Systems, a leading Electronic Medical Records (EMR) software provider, led to significant improvements in usability. These changes enhanced physician productivity and reduced errors, directly impacting patient safety. The healthcare UX design company’s ability to tackle complex challenges and deliver tangible results sets it apart from other design firms.

Industry Expertise

The healthcare industry is complex, with specific needs that demand a deep understanding of both the user and the regulatory environment. UX 4Sight’s team of experts is well-versed in these unique requirements. They know how to design interfaces that are easy for healthcare professionals to use while ensuring compliance with industry standards like HIPAA. This dual focus on usability and compliance is what makes UX 4Sight a trusted partner in healthcare UX design.

Awards and Recognitions

UX 4Sight’s work has not gone unnoticed. The agency has received several awards for its innovative healthcare UX design services. It was named among the world’s 15 best User Experience design agencies for 2021 by Digital.com . Also, it won the 2019 UpCity Excellence Award for having high customer satisfaction and brand integrity. These accolades underscore the agency’s commitment to excellence and its ability to deliver top-notch results.

Choosing UX 4Sight means partnering with a team that understands the stakes in healthcare UX design. With a strong track record, deep industry knowledge, and a commitment to creating effective, user-friendly and responsive web design solutions , UX 4Sight is your go-to agency for medical and healthcare UI/UX design services.

Healthcare UX Design Trends

Healthcare UX design is rapidly evolving, with several key trends shaping the future of patient care and healthcare delivery. These trends are driven by emerging technologies and a growing emphasis on creating personalized, user-friendly experiences.

Telemedicine and Virtual Care

Telemedicine has become a cornerstone of modern healthcare. The convenience of virtual consultations has changed how patients interact with healthcare providers. UX 4Sight experts note that designing seamless telemedicine platforms is crucial for enhancing patient engagement and satisfaction. "The goal is to make virtual care as intuitive and effective as in-person visits," says UX 4Sight CEO Abdul Suleiman.

AI Integration

Artificial Intelligence (AI) is another game-changer in healthcare UX design. AI-driven tools can analyze vast amounts of data, providing healthcare professionals with insights that improve decision-making. From predictive analytics to chatbots, AI integration is enhancing patient care by making it more accurate and personalized.

Wearable Technology

Wearable devices like smartwatches and fitness trackers are becoming integral to healthcare. These devices provide real-time health data, enabling continuous monitoring and early detection of issues. Designing user-friendly interfaces for wearable tech is essential to ensure that patients can easily understand and act on their health data.

Personalized Patient Experiences

Personalization is becoming a key focus in healthcare UX design. Patients now expect experiences tailored to their specific needs and preferences. UX 4Sight experts emphasize that personalized interfaces can significantly improve patient satisfaction and outcomes.

These trends are not just about technology; they're about improving patient care and making healthcare more accessible and effective. As these innovations continue to develop, healthcare UX design will play a critical role in shaping the future of the industry.

In conclusion, healthcare UX design isn't just about making things look good—it's about making things work well for everyone involved. 

At UX 4Sight, we understand that designing for healthcare is a unique challenge. We focus on creating systems that are not only intuitive but also compliant with strict regulations. Our approach prioritizes the needs of patients, providers, and administrators, ensuring that everyone can navigate complex systems with ease.

From improving patient outcomes to enhancing the efficiency of healthcare professionals, good UX design has a significant impact. Whether it's through streamlined interfaces or personalized patient experiences, our goal is to make healthcare more accessible, effective, and safe. 

At UX 4Sight, we’re not just designing for today; we’re creating application design and development solutions that will shape the future of healthcare. With our expertise, you can trust that your healthcare UX design needs are in capable hands.

What is UX design in healthcare?

UX design in healthcare focuses on creating user-friendly interfaces and experiences for medical applications and systems. It's about making healthcare tools easier for patients and professionals to use.

Why is healthcare UX design important?

Healthcare UX design is crucial because it directly impacts patient outcomes. A well-designed system can improve efficiency, reduce errors, and enhance overall patient care.

What common challenges are faced in healthcare UX design?

Challenges include ensuring data privacy, maintaining accessibility, and keeping users engaged. Navigating complex workflows and meeting regulatory requirements are also significant hurdles.

How does UX 4Sight address these challenges?

UX 4Sight tackles these challenges by conducting thorough user research, creating intuitive designs, and ensuring compliance with healthcare regulations. Their solutions are tailored to meet the specific needs of the healthcare industry.

What are the benefits of using UX 4Sight’s healthcare UX design services?

With UX 4Sight, you get a team that understands healthcare’s unique challenges. Their designs improve usability, enhance patient satisfaction, and boost overall system efficiency.

How do UX 4Sight’s solutions improve patient engagement?

UX 4Sight’s solutions focus on making healthcare applications more accessible and easier to use. This leads to higher patient engagement and better health outcomes.

What innovative strategies does UX 4Sight employ?

UX 4Sight uses cutting-edge strategies like AI integration, telemedicine platform design, and personalized patient experiences to stay ahead in healthcare UX design.

How can I get started with UX 4Sight for my healthcare UX design needs?

To get started, simply contact UX 4Sight . They’ll work with you to understand your needs and create a customized plan for your healthcare UX design project.

Abdul has helped over 40 Fortune 500 companies make informed user-centered design decisions through evidence-based user research and UX best practices. As an Adjunct Professor, Abdul has taught in DePaul University’s graduate UX programs and for nine other universities.

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50 Beautiful Healthcare UX/UI Design Examples

At Koru UX Design, our healthtech expertise stems from over 13 years of designing 300+ products like EHRs, Telehealth, Patient Portals, Claims Management Systems, AI-driven Messengers, Home Health Solutions, etc. for companies such as eClinicalWorks, Roche, Biofire, Medbridge, Well Health, and more. Designing a seamless and efficient experience for healthtech users requires an acute understanding of the target users, i.e., providers, caregivers, and/or patients in their everyday environment, while upholding standardized legal regulations such as HIPAA and HITECH, even recent ones such as EU AI Act and the proposed interest of the FDA in regulating the use of AI and ML in healthtech in the United States. We're showcasing the length and breadth of our UI-UX design expertise in this comprehensive compilation of 50 HealthTech UI examples. These examples are accompanied by tips and best practices to follow while designing for each product category.

Table of Content

50 UX/UI Design Examples & Tips to Design User-friendly B2B Healthtech Products

Patient look-up list.

Patient Look-up Lists focus on functionalities that help users find and manage patient information with efficiency. Consider intuitive search bars, filtering options, and clear patient list displays to streamline workflows.

Key considerations 

Designing an effective patient look-up list in a healthtech product requires balancing information access with a user-friendly experience. Prioritize displaying essential details for quick identification, alongside robust filtering, searching, and sorting options. The list should be scannable with clear visual cues and offer relevant actions next to each patient entry. Create a context-aware information display to enable quick and accurate access. Finally, ensure smooth integration with other parts of the product, fast loading times, and responsiveness across various devices.

• Ensure the capability to search for a record with a variety of keywords.

Use data points that would help differentiate between records with common first or last names easily.

For example, data points such as the age or the last few digits of the MRN.

• Advanced Search allows searching a patient using their name or MRN and provides the closest results.
• Filter options such as Care Program, Medical Condition, Appointment, and more help narrow down the search results.

• Searching for a patient can be done using their name or MRN.
• Entering a few characters of the name also yields relevant results through auto-suggestion - improving operational efficiency.

• The Advanced filter provides quick access to patients marked as ‘Favorites’ and ‘Assigned to the provider’.

• The enhanced Search function applies multiple categories based on a detailed list of keywords/search terms, including a patient’s name, their provider, insurance status, and more.

• This advanced version enables patient search by applying a wide range of criteria, such as age range, existing and/or previous locations, care programs entered into, and medical history.
• It also allows the addition and exclusion of certain criteria to deliver accurate results.
• The panel on the right displays the search history for reference.

Patient Records

Patient records are a minefield of medical data. A good UX approach here prioritizes clear organization, easy access to relevant information, and secure storage, with information architecture and visual hierarchy playing a crucial role.

Designing a patient record system requires prioritizing completeness and organization for easy navigation of a patient’s history - keeping in mind the varied physical and mental capabilities of the patients. It should offer intuitive documentation tools like templates and dictation for efficient note-taking while ensuring strong audit trails and access controls for security.

• Support from the system to keep the data clean and updated. This would help clarify patient data where incomplete or duplicate records exist.

System-based prompt to easily update information or easier way to update health information which might change more frequently.

This would refer to vitals that need frequent periodic testing and updation such as blood pressure or blood glucose levels.

• Click on a patient’s name to access their profile. The detailed profile displays cards with relevant details such as their medical history, vitals, documents, and forms.
• The panel on the right lists details of recent visits.

• A comprehensive patient record that displays patient information overview on top, including their name, MRN, visit type, and reason for visit.
• The vital parameters can be added by clicking on respective tabs and remarks of the physical examination can be added below.
• Suggested medications can be added with a single click. Medications that are not on the list can be added.

• This patient profile provides relevant details at a glance for easy access. The horizontal panel displays detailed patient information, PCP’s name, and the Acuty Risk Levels are highlighted using colored pills.
• The Overview field displays open task cards and Patient Visit Details. The Active Medication and Enrollments are listed on the right .

• Easy access to the patient list, with classification categories including all, current, new, discharged, and high priority.
• The search list has classification categories of the patient’s name, reason for the visit, and the scheduled time and date.
• The patient profile displays personal IDs, visit information, and tab options for vitals, records, medications, test results, and more.

• The patient timeline panel on the left lists the visits based on the chosen year.
• The chart can be customized to display different categories of information.

Appointment Scheduling

Appointment scheduling should be hassle-free and efficient for both, patients and healthcare providers. Effective UX in this category involves easy-to-navigate calendars, efficient display of time slots, and easy appointment confirmation and management.

An effective appointment scheduling system provides a clear visualization of provider availability across different locations and time slots to minimize scheduling conflicts. Ensuring the utmost flexibility to reschedule or cancel appointments easily is crucial.

The focus should be on offering flexibility towards showing information that would be critical consideration factors for a person picking an appointment.

For example, it could be the preferred language selected or the gender of the doctor if they choose to be specific. It also covers generic data points such as proximity to the hospital or acceptance of their insurance.

• On the administrative side, the focus should be on optimizing and fulfilling the slots booked for a provider as per their defined work hours and availability.
• On the patient’s side, there should be clarity on the slot picked. The system should have communication prompts to ensure that the patient shows up on time. (Examples of options can include rescheduling, asking a question, reminders of the appointment, etc.)

On the provider’s side, it is crucial to provide maximum context and information before the appointment.

Examples include patient records relevant to the visit, recently captured vitals, known conditions, and the chief reason for the visit.

• Search for a provider by using the location and specialization filters.
• Book the appointment and receive the confirmation, with options to download the receipt and save the appointment to a digital calendar.

• Smart search enables search for doctors by name, specialization, or medical issue based on the user's location.
• The Find function displays the list of available doctors based on the location and helps book appointments.
• The Map view displays nearby doctors and enables the options to book an appointment based on proximity.

• Smart search for doctors by name, specialization, or location.
• Receive a confirmation email comprising the time and date, contact details of the doctor, and options to add the appointment to the calendar or view the location on the map.

• The calendar’s notification icon shows upcoming appointment requests.
• There are options to accept or decline the requests in the dropdown list.

• Shift the appointment time with an easy dropdown list of time slots.

Telemedicine

In optimal telemedicine experience is one that ensures clear video conferencing interfaces, user-friendly tools for sharing medical data, and a seamless experience for both doctors and patients.

A successful telemedicine platform prioritizes high-quality audio/video conferencing for clear communication. Easy patient access with minimal technical requirements is crucial for broad adoption. Seamless integration with the EHR ensures smooth data exchange between platforms.

• A telemedicine platform bridges the gaps of an in-person encounter. It has to compensate for the lack of ability to conduct a physical examination.

Patients need to feel like they are being heard, and simple advancements in technology can help with this.

For example, technology now allows for the eyes of the doctor to seem to be looking at the camera using AI even if they are looking down or making notes.

• Other crucial features include the ability to translate and transcribe on the fly, view subtitles, share screens, and bring up reports to be discussed. AI-powered Natural Language Processing (NLP) can be leveraged to ease documentation, along with simplified record keeping.

• A reminder pop-up appears, notifying the next appointment.
• The Provider can get the context of the appointment by viewing the patient’s responses to the pre-visit questionnaire.
• Once the telehealth call begins, the conversation is transcripted in real-time.
• The Provider can access the lab test results during the call on the same interface.
• The Provider can highlight important vitals or risk factors in the transcript for later reference while the conversation is on.

• The patient list flags high acuity cases in a distinct column.
• Click on the ‘Reason behind the alert’ to view the complete details of the patient and view the call transcript.

• Patients can view their past and upcoming consultations in the mobile app.
• Click on ‘View more’ to view the record of the consultation, including the date and time, doctor’s details, summary, prescriptions, and test reports.
• Click on the doctor’s link to view their profile and available slots for the next appointment.

• Discover multiple ways for a provider to get in touch with the patient. Connect via an audio call, video call, send a secure text message or start a chat in a few clicks.

• Connect on a video call with the caregiver in a pop-up window.

Care plans should prioritize clarity of treatment options, easy access for patients and providers, and progress-tracking functionalities to enhance patient engagement.

A well-designed care plan facilitates collaboration and task delegation among healthcare team members. Imagine a system where team members can create shared care plans with specific goals, assign tasks to nurses or specialists, and track progress over time. Integration with patient education resources empowers patients and improves engagement. For the administrator or the person creating Care Plans, having access to clear care journeys is important. Therefore, the focus should be on ensuring - 

• The ease in creating condition and scenario-sensitive care plans that can guide the patients.
• Ease of assigning and monitoring the adaption from the patients.
• Guidelines about what leads to higher adaptation as opposed to what makes patients fall off a defined plan.

• Create a customized care plan using AI-driven suggestions based on the background provided.
• Drag and drop options from the Journey Template to get started.
• Customize the flow as required, adding message text and time delay.

• View the complete timeline of communication with a discharged patient.
• The timeline provides a brief summary of the patient’s visits and documents chats and states any alarming details.

• There are multiple types of alerts in red, grey, and white, denoting the severity of action.
• The pop-up lists the action items in the care plan as per the priority.

• This Care Plan follows a Problem-Objective-Goal-Intervention system for patients.
• Each goal has a start and end date with a percentile progress tracker to ensure that it is realized on time.

• This shows the detailed view of a patient’s care plan. It shows the start date and the target completion date for the selected ailment.
• The care plan is further split into multiple goals, listed as per the priority with timelines and expectations added for the actions and strategies.

Vital Signs and Measurements

Effective UI design for vital signs and measurements should use clear visualizations, easy data entry, and timely alerts for abnormal readings of signs like temperature, blood sugar level, heart rate, or blood pressure.

Standardized data entry through pre-defined formats ensures consistent and accurate recording of vital signs. Visualization tools like graphs and charts help identify trends and potential issues. Customizable alerts for abnormal readings allow for timely interventions.

• Ensure that the measurement units are depicted clearly, and additional notes and information about the situation in which the vitals were collected.
• Ease in documenting it. Especially establishing information that would modified frequently vs less frequently. For those that would be updated frequently, place convenient triggers to update them from multiple sources.
• Ease in differentiating data entered by humans vs wearable technology.

• The wearable device captures the vitals, which are uploaded.
• Click on the respective organ tile to view the current vitals.
• Options for booking appointments with consultant doctors are available.

• The patient’s contact details and disorders are listed on the panel on top.
• All vital signs for the selected body part are listed on the left panel, with other important and relevant vitals listed on the right.

• This overview uses the body chart to mark afflicted areas.
• The severity of the afflicted areas is categorized by color, depicting mild, moderate, or severe pain.

• All vital signs are listed on cards, with the source of the data (Apple Health, Google Fit, iHealth, etc.) mentioned.
• The time of the latest recording of vitals can be accessed by hovering over the card.

• This pain scale is designed to keep records of the pain levels felt by the user during movements/exercises.
• There is also the option to record the difficulty level experienced during certain exercises.

Healthcare Dashboard

Effective Dashboards provide a comprehensive overview of patient health data, prioritizing clear visualizations of key metrics, customizable layouts for individual needs, and real-time data updates.

An effective healthcare dashboard is customizable, allowing users to personalize the layout with relevant data points based on their role. Actionable insights presented facilitate clinical decision-making and highlight areas requiring attention. Real-time data updates ensure healthcare professionals have access to the most current patient information. When designing a dashboard, focus on understanding the nature in which your persona would utilize the information. Consider the following -

• Depict a clear overview of how things are running. Highlight scenarios where an intervention may be required.
• Prioritize the display of trends, and provide conclusive information that would ease decision making.
• A dashboard should be a quick summary indicating health with an easy way to probe further and access other parts of the system.

• This dashboard displays a comprehensive overview of the patient assessment, their status, month-wise assessment status, completion percentile, and number of eligible patients.
• Each category’s graph is designed to provide further information and track progress at a glance.

• The dashboard provides multiple filters for RUB distribution.
• The panel on the left provides the option to pick the morbidity marker.
• Clicking on the pointer next to a patient’s name provides details of ACG and HCC risk scores.

• This analytics dashboard provides an overview of the pre-selected widgets.
• Users can select or drag and drop a widget of their choice to be displayed in the overview.

• View the detailed expense allotment breakup of a healthcare center, with a department-wise filter.

• This dashboard provides an overview of the main parameters - patients admitted, active staff, and operational costs at the top.
• This is followed by the next priority item, i.e., the date-wise list of admitted patients.
• The bed occupancy graph is color-coded and can be viewed in a detailed mode.

Patient Communication

Communication tools allow secure interaction between patients and healthcare providers. Therefore, the emphasis needs to be on intuitive messaging interfaces, secure file-sharing options, and smart notification systems.

Secure messaging allows two-way communication for non-urgent messages and document sharing. Offering multiple communication channels like video chat or phone integration provides flexibility. Utilize automated tools for appointment reminders, medication refills, and preventative care notifications.

• Patient communication should be considerate of the scenario and situation of the patient and use a clear and sensitive tone. Consider implementing technologies such as AI-powered voice interfaces or NLP that allow easy translations and modifications in the tone.
• In multiple scenarios, the patients are subscribed to multiple cadences which could lead to spamming - make sure to avoid that.
• Make provisions to segment the target audience carefully so that the communication remains relevant.
• Establish a clear mechanism while delivering time-sensitive or critical information.

• This support center displays the open and recent chats on a panel on the left.
• Click on a patient’s name to open their chat in a window in the center.
• The panel on the right displays the selected patient’s brief profile, the shared documents, and their vitals for easy access during the chat.

• Connect on a call and chat with multiple doctors at one go.
• The panel on the left lists the patients and providers, and highlights the unread chat messages.

• The lab test results can be obtained by logging into the app using a secure sign-up link.
• The patient’s number can be used as an ID to log in. It is authenticated using an OTP sent to the entered number.
• Once verified, the test results are displayed. The patient can access the various parameters by tapping on the options listed below their profile.

• Select multiple recipients for sending an email.
• Add the email content and set it up to be sent at a later date and time of choice.
• Once set, a pop-up provides an option to undo the setup or view the content.

• This health bot is designed to monitor post-discharge patients and guide them to take action when required.
• The bot assesses the patient’s health status with a series of questions and guides them to take the next steps based on their response.

Patient Outreach

Outreach programs aim to educate or remind patients about preventive care or treatment adherence. Their UI design should prioritize clear messaging, targeted content delivery, and easy access to additional resources.

Effective patient outreach involves targeted campaigns based on specific criteria to deliver relevant messages and educational materials. Utilize a multi-channel approach (email, SMS, patient portal) to reach patients effectively. Track campaign performance and adjust strategies to optimize patient engagement.

• Ensure that the outreach materials are accessible to all patients, including those with disabilities. Use clear, concise language and provide alternative formats such as braille, large print, or audio versions.
• Tailor the outreach messages to each patient's needs and preferences whenever possible. Personalization can increase engagement and effectiveness by making patients feel valued and understood.
• Utilize a variety of communication channels such as email, phone calls, SMS, social media, and physical mail to reach patients effectively. Offering multiple touchpoints increases the chances of reaching patients at the right time and in the right context.
• Provide clear instructions and actionable information in the outreach materials. Patients should understand what steps they need to take next, whether it's scheduling an appointment, accessing resources, or following up with healthcare providers.
• Include a feedback mechanism to gather input from patients about their experience with the outreach campaign. Feedback can help identify areas for improvement and ensure that future campaigns are more effective and user-friendly.

• The campaign overview displays a list of all campaigns, with a toggle to display only the active ones.
• When a campaign is selected, it displays the various performance metrics and a preview of the content.

• The campaign form builder helps build a form-based survey to be run within a campaign.
• Users can select from a list of pre-defined responses from the options and set up the survey with ease.

• This survey is for screening a patient prior to their appointment. The survey can be taken through a link sent as a message.
• The patient has to fill out their personal details, or tap on pills for pre-designated responses.
• There is a search bar for patients to make it easy to use the right terms while reporting their symptoms.
• The patient receives a notification upon successful submission immediately and via email.

• Set up a survey with various response types. A collapsible panel displays the mobile view of the survey.

• The post-discharge follow-up workflow highlights the cases where the communication attempts have failed or gone unanswered.
• The list also displays the reason for admission and the discharge date for easy reference.
• The top panel displays the duration of the post-discharge engagement, the number of active and completed patient counts, and the overall engagement score.

Category 10

Patient portals.

Patient portals empower patients to manage their health information. Intuitive navigation, secure login, and easy access to lab results, appointment history, and other relevant data are crucial in determining its user experience. 

A well-designed care plan facilitates collaboration and task delegation among A user-friendly and accessible patient portal empowers patients to manage their health information.  Present health data clearly and provide tools for patients to track progress and manage their conditions. Ensure robust security measures to protect patient data and comply with requisite regulations.

• Design the patient portal with a user-friendly interface that is easy to navigate and understand. Use clear labeling, logical layout, and intuitive navigation menus to help patients find the information they need quickly and efficiently.
• Allow patients to personalize their portal experience by setting preferences, customizing notifications, and accessing personalized health information such as lab results and appointment reminders. Personalization enhances user engagement and satisfaction.
• Prioritize the security and privacy of patient data by implementing robust encryption protocols, authentication mechanisms, and access controls. Clearly communicate the security measures in place to reassure patients about the safety of their health information.
• Ensure that the patient portal is optimized for mobile devices, allowing patients to access their health information and perform tasks conveniently on smartphones and tablets. Mobile responsiveness improves accessibility and convenience for patients on the go.
• Provide educational resources within the patient portal to empower patients with knowledge about their health conditions, treatment options, and preventive care. Access to reliable health information can help patients make informed decisions and actively participate in their healthcare journey.

• Book a purchase from the prescribed pharmacy. A pop-up shows the drug’s name, its cost, duration, and the amount due.
• The savings in purchase costs is highlighted in the order confirmation.

• Book an appointment using the patient portal app in a few easy steps.
• Sign in to the portal using a Google ID and view a comprehensive list of consultation options.
• Pick a consultation type and choose the date and time from the calendar. Pick a reminder to ensure that the upcoming and future appointments aren’t missed.

• A list of amounts due is displayed for every member.
• The invoice contains an itemized list of each drug and its cost.
• The total bill can be paid with a single swipe, following which the payment acknowledgment is generated.

• The health record app provides a comprehensive overview of the patient’s profile.
• They can access their health records and view the lab tests based on the date or the name of the test.

• Medications can be ordered with ease in 3 simple steps, beginning with uploading the prescription or photo of the medication.
• Selecting the days of consumption, and the start-end date.

User-Centric, Scalable Solutions That Are Secure & Compliant

Telehealth integration in ehr to assist overburdened providers.

Improved patient care by merging safety,communication, and real-time tools for providers:appointment alerts, pre-visit patient review, and live translation/transcription.

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NHS Hitachi Ventura Case Study

Ux.healthcare, the challenge.

We worked with Hitachi Ventura on a project for Salford Royal NHS Foundation Trust Hospital (SRFT). We were commissioned to assist in the first phase of the creation of a ‘Digital Control Centre’ – a digital tool to help transform the hospital’s operations and ‘ improve care with data ’.

The solution

In order to help build this system, our consultants carried out video workshops to aid in the creation of complex wireframes. Simultaneously, a full UI audit took place, reviewing the current design inventory and identifying which new assets had to be created. Once completed, a Design System was made, making sure accessibility was of paramount importance.

Video Workshops

As this project was complex and required detailed knowledge, video workshops were held with both hospital staff and business analysts to gather the necessary information needed to create the wireframes.

Lauren Nicholson

The project was incredibly challenging, but it was rewarding to work on something that had incredible potential to improve patient care. I had so much admiration for everyone involved!

The design system was created to ensure all colours, icons and fonts met W3 WCAG standards and that all designs would be clear and legible on both small desktop screens and fifty-inch TV screens in the wards.

Related case studies

We worked with Hitachi Ventura on a project for the NHS. We were commissioned to assist with the creation of a tool to transform the hospital’s operations and ‘improve care with data’.

• June 9, 2022

Marie Curie Case Study

Marie Curie came to us for assistance in redesigning and organising their website. Our consultant worked to improve the information architecture and navigation of the website.

• May 26, 2022

• Success stories
• Design Strategy
• User Experience (UX)
• User Interface (UI)
• Enterprise UX
• Ecommerce UX
• Marketing UX

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Digitizing medical records to enable people to take ownership of their health

Overview of health-e.

Health-e is an innovative healthtech platform that brings medical records to the digital realm, empowering individuals and families to take control of their well-being. The idea is to seamlessly integrate medical records and provide valuable insights into general medical parameters for all its users. Health-e turned to UXTeam with the idea for the healthtech UI UX design.

iOS and Android

Design Strategy UX Design UI Design

Challenges identified by Health-e

Data overload.

The cumbersome task of carrying physical copies of medical records everywhere

Sharing records

Frantically asking friends and family to snap photos of records during emergencies

Disorganized files

The disarray of storing and sharing medical information as the data increases

Insights from the collaborative discovery sessions

Discussions with company stakeholders enabled us to outline the essential features and functionalities for the Health-e mobile app ux design. Our findings revealed some user insights:

• People are accustomed to store and share medical records in an organized and unreliable way
• People use third-party apps like WhatsApp, Telegram, and WeChat to share their medical data
• A user-friendly experience is a must to engage users to share and store medical data using Health-e

Seamless navigation system

We focused on information architecture to build a solid navigation framework for the platform ensuring a self-guiding and seamless experience for users.

Structuring user journey through wireframing

We created wireframes to visualize the platform’s layout and structure, providing a clear representation of its navigation and user interface. Wireframing helps us to identify potential usability issues that can be addressed before development begins, resulting in a more user-friendly experience.

Setting the visual tone

We meticulously crafted a visually appealing and accessible interface that not only aligned with Health-e’s brand identity but also resonated with users. By experimenting with various color schemes, typography, and design elements, we were able to strike the perfect balance between aesthetics and functionality.

Throughout the design process, we maintained open communication channels with stakeholders, incorporating their feedback to refine the visual design further

Key screens

We effectively addressed the challenges of Health-e by incorporating the following key screens

Effortless sharing with doctors

Simple one-click sharing feature allowing users to swiftly share their reports while maintaining full control over their medical data.

Paperless record storage

By implementing OCR technology, users can directly scan the physical medical copies and store them digitally.

Streamlined record access

Organized folders to swiftly locate the precise reports that users need.

We created UI Kit to ensure consistent visual design and user experience across the platform. With a UI Kit in place, it becomes easier to scale the platform by adding new features and functionalities while maintaining the established design language.

What we delivered

Several revisions and Zoom calls later, we delivered the final designs with confidence.

Focused design work

Discovery sessions and feedback meetings

Screens designed

“This design agency provided exceptional design work that exceeded my expectations. They were professional, responsive, and highly creative in translating my vision into a visually stunning and functional design. I highly recommend their top-quality services.”

The live app received an overwhelmingly positive response, garnering thousands of downloads across India and stellar reviews on the Google Play Store and Apple App Store.

downloads in 5 months

We are thrilled to have built something that meets the user needs.

Wonderful app. Scans your lab reports and digitizes it with interactive details about your health.

Best app to store all medical report at one place , and also have other interesting medical releted features. I highly suggest to all of you to use this app.

Very Good App, It is future of health care system, Government also work on these types services..Feel free from hard copy storage of medical reports/files, it is very useful for health conscious persons also..

Great app now I can store my all medical record at one place hassle free and show to my doctor when I go to checkup

Good app keep tracks and highlights hign or low values

This is a great app that lets you store all your medical reports and makes it easily accessible. The reports are easy to read and understand by a non-medical person as well.

Have a healthtech project or idea in mind?

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• Artificial Intelligence
• Product Management
• UX Research

9 Digital Healthcare UX Trends 2024

Martina Győrffy

Fruzsi Fejes

Mariann Fülöp

As we look ahead, 2024 is set to present some exciting new trends in digital healthcare user experience. We have listed the top 9 trends that will dominate the sector.

The health-tech sector is among the fastest-growing in the world today, making the stakes super high. Investments in healthcare AI software, hardware, and service market will reach $34 Billion Worldwide by 2025. Several new technological trends are emerging in healthcare at different maturity levels. Many with significant progress insight.

As a UX design firm , we’re thrilled when we’re offered the chance to collaborate on things with a purpose, such as healthcare projects. We at UX studio have a long history with healthcare UX. For example, our agency redesigned the app for Nanoleq’s innovative wearable device that provides real-time biofeedback to enhance well-being through mindful breathing.

If you are looking for a design partner for healthcare UX, let’s get in touch . We are ready to help with any product design and research challenges you might have.

Healthcare UX Challenges

Ease of use.

In the past few years, some relevant changes have occurred in healthcare. By now, not only medical professionals can take care of each patient’s health. Users also have the option to choose from a wide range of digital products. These products can assist them in improving performance and overall well-being. Treatments no longer remain boring must-haves; instead, they become services. Modern technology in the healthcare system provides patients with better service. It is also more comfortable and safer. But for this to work, the technology needs to be user-friendly.

Aging population

User-friendliness holds the key to the success of these apps and gadgets in the long run. Healthcare workers need to feel as if they have always used these tools. In our experience, a healthcare product’s design process must focus on what people want. We must consider what doctors struggle the most with and what treatments and tools the patients need. A good UX for healthcare apps should cater to a wide range of users. This includes those with visual, auditory, or cognitive impairments and limited internet access. This is crucial for healthcare tools, as it can benefit up to 25% of the population. 

Accessibility

With the aging population, healthcare UI/UX designs should consider features for them. These include adjustable text size and contrast options. Video and audio alternatives, legible fonts and icons, and simple navigation are also worth mentioning. There is an increasing use of Electronic Health Records (EHR) in clinics and hospitals. Thus, protecting sensitive personal information is essential. Secure authorization measures are necessary to prevent data breaches and ensure patient privacy.

UX Studio in Digital Healthcare

Below are some examples of our UX agency’s work in healthcare UX. 

But further ado , let’s check out what digital trends in connection with UX design in healthcare we can foresee and what are some problems in healthcare that can be solved with UX.

Top 9 digital healthcare UX trends

1. the rise of artifical intelligence, managing patient data and diagnostics with ai.

AI-powered platforms in healthcare are revolutionizing the user experience. They use advanced algorithms and data analysis. This way, they provide personalized and efficient healthcare solutions. These platforms streamline processes and improve communication between patients and healthcare professionals. They enhance the overall quality of care.

AI technologies will help collect and efficiently analyze patient-generated data. This way, they can provide adequate healthcare solutions. AI chatbots still have some difficulties with user-friendliness and data security. Yet, these tools come in handy in many areas of healthcare. According to Tractica , by 2025, AI will help manage the following areas in the healthcare industry: 

• Medical image analysis
• Healthcare VDAs
• Computational drug discovery and drug effectiveness
• Medical treatment recommendation
• Patient data processing
• Medical diagnosis assistance
• Converting paperwork into digital data
• Automated report generation
• Hospital patient management system
• Biomarker discovery

AI-powered platforms

Artificial intelligence (AI) will not replace human jobs entirely. It still requires human supervision and oversight for accuracy, efficiency, and ethical decision-making. However, AI can support healthcare professionals, enhancing their capabilities. With AI technologies, healthcare professionals can benefit from advanced tools and algorithms. These can analyze data, provide diagnoses, and suggest treatments. This collaboration between AI and healthcare professionals can revolutionize the industry, improving patient outcomes and transforming healthcare delivery.

1. Digital products for mental health and telepsychology

Our mental health has become a priority in the last couple of years. Doctors and everyday people suffer from anxiety and other forms of depression. Upcoming trends must deal with this problem. People are more willing to open up to an AI conversation partner.

Therefore, healthcare user experience (UX) is crucial in establishing contact. A good example of UX solutions is Wysa , which uses soothing colors and a friendly therapist penguin avatar to connect with users.

Mental health applications are also effective in preventing burnout. These apps help guide your thoughts towards mindfulness. They also teach techniques for stress reduction. Meditation apps come in handy if you have just started this journey. Only three to five minutes a day can change your life in a few weeks. 

As an example, Headspace is also a nicely designed app perfect for beginners. The onboarding is with a guiding voice, their main component, which leads you through guided sessions. After a few minutes, you feel totally zen, even in your smallest body parts. The application is built around video clips, where the design is essential.

Its designers created it in a way that connects the users and the characters of the videos by growing empathy. Their approach is to start the exercises with small steps. When a session is completed, that unlocks the next meditation in the series. Many applications offer free exercise plans with various intensity levels and exercise styles. Usually, they come with well-explained videos to avoid injuries.

3. Medical wearables (+ digital health insurance)

Smart devices have become common in the last few years. This produces an unimaginable amount of data for researchers and experts. Almost everyone owns a smart bracelet, smartwatch, or fitness monitor app on their phone.

Self-monitoring applications made it possible to analyze and change our habits for our well-being. We use colorful data visualization to help us understand how we live; we track our daily activities and steps, analyze our sleeping habits, and check our blood pressure.

Posture trackers analyze our body movements and notify us when we need to stand up and have a short break. It’s getting even more important as people work from home and the space they are living in their everyday lives is getting smaller. Employers also realized this and endeavored to support their remote workers. 

Technology can democratize access to quality care, digital health enables healthcare to be globalized. Patients can adopt devices and bring the collected data to their physicians. That is why recently insurance firms incentivise healthy lifestyle by giving away gift cards for people achieving their goals measured by their digital wearables.

That is why, recently, insurance firms have incentivized healthy lifestyles. They give away gift cards for people achieving their goals measured by their digital wearables.

Healthcare wearables come in various forms, not just fitness wristbands. Currently, the most popular healthcare wearables are devices that measure blood pressure. They use electrocardiogram (ECG) sensors to track heart rate, detecting atrial fibrillation. These devices can send alerts and report a patient’s condition directly to a doctor.

Companies can outperform their competitors by prioritizing excellent device connectivity. From a user experience perspective, allowing easy data exchange is key. When it comes to wearable technology, the main goal from a design standpoint is to simplify data input and overall usability.

It is important to remember that people use these trackers on a daily basis. Any difficulties that impact the user experience can put your product at a disadvantage compared to other competitors. Providing convenient and smooth user experience solutions is crucial to distributing healthcare wearables effectively.

4. Telehealth (Telemedicine + Remote patient monitoring)

Telehealth simplifies patient-provider connections. It works through video conferencing, replacing phone calls, appointments, and in-person visits. It emphasizes the need for user-friendly telemedicine software. This is especially true when used with wearable devices.

On these platforms, patients can enter symptoms. Wearable tools send information about temperature, blood oxygen level, and blood pressure. After receiving them, doctors can monitor and analyze the data. Dashboards provide guidance and send alerts if changes occur during the disease. This helps medical staff respond immediately.

Some say that telemedicine is on track to become the new norm. Patients and doctors will interact virtually more frequently. Messaging or video chatting makes everything easier for both parties. Patients get answers without putting themselves or others at risk by visiting crowded public spaces. It also saves time for medical professionals.

Patients often struggle to describe their symptoms accurately. Sharing a patient’s perspective can make consultations even more effective. Combined with AR (also mentioned later on), telehealth makes this a lot easier. With the increasingly popular at-home lab tests, patients can access a wide range of analyses from the comfort of their homes. They can also combine tests with telemedicine, like the clinician-administered at-home COVID tests.

It’s essential to remember that these apps are helpful for fast consultations. When designing the product, it is crucial to focus on patients’ well-being. In case of illness, a full in-person check-up appointment should happen to address any potential health issues. We should enhance their healthcare experience and promote their well-being. The key is to prioritize patients’ health and provide comprehensive check-ups.

5. Digital therapeutics (DTx)

Physicians prescribe lifestyle changes for a long time. We can expect they will prescribe smartphone apps and digital technologies soon, too. According to the Digital Therapeutics Alliance , DTx delivers medical interventions directly to patients.

They use evidence-based, clinically evaluated software (accessible via a smartphone or tablet). This way, they treat, manage, and prevent various diseases and disorders. There is even a product library to help differentiate DTx software from other mobile health apps. They must be evidence-based and align with eight core principles .

An example is an application (Insula) that assists type 2 diabetics. The app recommends personalized insulin doses to patients. It also acts as a coach in managing their diabetes.

Designers should figure out how to prevent users from losing interest in DTx apps. Since physicians often prescribe these apps for chronic illnesses, they may need to be used for more than just a few weeks.

6. Vocal Biomarkers and Virtual/Augmented Reality

Will it be possible to diagnose illnesses from the sound of your voice? Researchers do expect massive market growth in the biomarker segment by 2028. Vocal biomarkers are medical signs deducted from the features of your voice. They reveal a lot about your health. Besides, they also help in detecting severe diseases and health risks. Vocal biomarkers have huge potential; let’s imagine how amazing it would be to identify diseases over a phone call.

Scientists researched the technology concerning coronary artery disease, pulmonary hypertension, and Parkinson’s disease. A California-based company is just developing an application that detects COVID based on a 60-second sound file. A reputable company in this field is  EVOCAL Health. It provides digital diagnostics through vocal biomarkers and AI.

Their technology can improve patient health by analyzing the sound of the voice. Speaking may appear straightforward. Yet, it actually requires the coordination of multiple organs, muscles, and sensory nerves. Healthcare apps can detect and interpret the issue if any of these elements malfunction. This way, they enhance the user experience.

Virtual Reality (VR) can help us gain experience and simulate situations that we have just now had a chance to explore. Some healthcare fields already use VR, and this tendency will be growing. VR is gaining space in more therapeutic situations. AppliedVR is a platform that specializes in healthcare. It lets patients escape scary medical treatments during a guided relaxation session, assisted by a VR tool. Taking them into games or traveling to lovely places will distract the patient from the reality of unpleasant treatments.

VR has been widely used to treat PTSD and anxiety. Physicians use it as a tool to distract sensitive patients from unpleasant and often invasive procedures. 

Augmented Reality (AR) can show extra information on the digital device in addition to the real world. With this, it can pioneer surgical planning or diagnostics.

Augmented reality can help save lives. Showing the locations of nearby automated external defibrillators (AEDs) is a great help for medical workers. Applications like AED4EU and the Layar browser work this way. This technology provides crucial information to find and assist those in need quickly.

An excellent example of using AR technology is AccuVein. It helps healthcare workers locate veins for injections. Moreover, these software technologies could be part of surgical training. They can help prepare medical students to practice in real-life environments.

Additionally, a well-designed interface creates a sense of direct user involvement. It can foster trust and ease intuitive decision-making between medical professionals and patients. UX designers must develop user-friendly solutions that are both fast and engaging. This way, they can make VR and AR applications widely adopted and practical. There is also potential for using AR in medicine packaging.

Many people do not read the drug product description. They also don’t always take the medicine as prescribed and recommended. This can lead to lessened efficacy and safety of the therapy. AR can enhance product descriptions and make reading instructions more transparent and enjoyable.

7. Voice User Interfaces

This UX trend aims to create hands-free and user-friendly technology. Designed for people with disabilities, it enables them to access various functions independently. A well-designed UX for a voice interface should ensure that users:

• Can operate the tool without touching the screen. This was crucial during the COVID-19 pandemic, and since then, it stayed as a good practice.
• Can use the tool regardless of visual impairments or paralysis.
• Can perform medical tasks. This is important when healthcare professionals have occupied or clean hands during surgery.

Voice user interface means interfaces that facilitate contact-free communications. They allow users to control and command the device systems with speech. In the healthcare sector, a voice user interface can be an ideal solution for contactless operations. It is even more beneficial to integrate with the graphic user interface.

When healthcare workers wear gloves to use touch screens or typing, it is not always as smooth as without gloves. Moreover, the gloves can get dirty. In such realities, contactless operations via a voice user interface combined with a graphical user interface are more efficient during the pandemic and post-pandemic.

8. Non-Emergency Medical Transportation (NEMT)

The influence of telehealth and digital therapeutics is expanding. Yet, there are cases when physical presence is still required, and patients must get to a facility. Transportation problems are one of the leading causes of inequalities in healthcare.

Millions of appointments are missed yearly due to no or unreliable transportation. The demand for healthcare providers to make NEMT an added value will increase. They will ensure this through dedicated rides, taxis, or ride-sharing apps.

That not only can help patients in rural areas but also those with disabilities. Also, people with invisible disabilities like anxiety when being on public transportation. An example of NEMT Companies is Modivecare. They use an interactive voice response system, web portals, and mobile applications.

Through these, patients and facilities can book and track healthcare trips. Members can also rate their ride experience to ensure the best service. The market is projected to experience large growth, with an estimated value of USD 14,577.43 million by 2028. This represents a significant increase in market value within a six-year period.

9. Digital health tools for pets

With people spending more time at home, pets have gained importance. This is reflected in the pet care market, which is set to exceed 350 billion USD by 2027 . Veterinarian challenges mirror those of human physicians, leading to similar digital tools and tech solutions.

Wearables and smart trackers dominate the pet digital health market. They including smart harnesses, collars, and radars remotely monitoring pets’ vital signs. AI-powered collars like Invoxia’s Smart Dog Collar track pet health and location in real-time. Other innovations include Pawport, a pet door system that is adjustable via smartphone. The market comprises Pet Healthcare, Pet Owner Convenience, Communication and Entertainment, and Pet Safety.

Why UX is Important for Healthcare

Here are some ways UX design can enhance healthcare products by improving the overall patient experience.

• Improving patient engagement and satisfaction. Designers need to create intuitive and user-friendly interfaces. This way, healthcare products can help patients navigate complex medical information. Also, they can access their health records and engage with their healthcare providers more effectively.
• Streamlining communication and collaboration. Effective UX design can also improve communication and collaboration among healthcare professionals. It is important to create seamless workflows and intuitive interfaces. Healthcare products can help efficient communication and reduce errors. Also, they enhance teamwork among doctors, nurses, and other healthcare professionals.
• Ensuring accessibility and inclusivity for all users. Healthcare products should be designed to be usable by everyone. This can be done by considering different individuals’ diverse needs and abilities, including those with disabilities or those who speak other languages.

The future of healthcare UX

The healthcare industry is going through an exciting transformation. It emphasizes enhancing user experience (UX) design. Chronic diseases become more common, and healthcare costs continue to rise. There is a growing demand for intuitive digital health platforms that cater to users’ needs.

In the field of healthcare UX design, we are seeing exciting trends. One of them is the integration of artificial intelligence (AI) and machine learning. Another is the focus on human-centered design approaches. Designers are also dedicated to developing user-friendly medical devices. These products make healthcare more accessible and approachable. Healthcare UX design’s future is about improving outcomes, reducing costs, and offering personalized experiences. These will make a difference for patients.

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• ⏩ Healthcare
• ⏩ Machine Learning in Healthcare: Use Cases, Benefits & Success Stories

Machine Learning in Healthcare: Use Cases, Benefits & Success Stories

Key Takeaways

• Machine learning in healthcare leverages algorithms to analyze large datasets, enabling better decision-making and personalized care by identifying patterns and continuously learning from data.
• ML algorithms are subsets of AI that help medical providers quickly identify conditions and create accurate treatment plans.
• The global AI healthcare market is projected to grow from $26.69B in 2024 to $613.81B by 2034.
• Healthcare companies allocated 10.5% of their budgets to AI and ML in 2023, up from 5.5% in 2022, with 94% already using these technologies.
• By adopting ML for advanced data processing with Acropolium, our client increased analysis processing accuracy by 40% in their bioscience platform.

Artificial intelligence and machine learning in healthcare have become instrumental in clinical operations, drug discovery, patient care, and medical data management. These algorithms are designed to interact with vast amounts of information, segmenting and allocating insights for better decision-making.

By adopting cutting-edge technologies, medical institutions automate data processing, improve patient experiences, and ultimately bring operational efficiency to the next level. With 15 years of crafting unique healthcare software solutions , we have helped our clients reimagine their medical operations with advanced automated data-first systems.

In this article, we apply our knowledge, insights, and success stories from our 6-year AI/ML consulting and development journey, breaking down the disruptive applications of machine learning in healthcare.

What is ML in Healthcare?

Machine learning in healthcare uses algorithms and statistical models to analyze large medical datasets, enabling better decision-making and personalized care. As a subset of AI, these patterns identify patterns, make predictions, and continuously improve by learning from data.

Different learning types include supervised and unsupervised learning, finding applications in disease classification, and providing personalized treatment recommendations. Due to its wide variety of applications, ML stands among the top healthcare tech trends , along with AI, cloud computing , and robotics.

The pandemic era emphasized the disruptive role of AI and ML in medicine, aiding in the rapid detection and diagnosis of virus strains. AI algorithms analyze patient data to help providers swiftly identify conditions and develop accurate treatment plans. Therefore, the global AI in healthcare market is expected to grow from $26.69B in 2024 to $613.81B by 2034.

Benefits of ML in the Healthcare Industry

The algorithms of machine learning and medicine have been going hand in hand, where technological advancements translate to healthcare industry evolution. This, in turn, has brought tons of growth opportunities for medical businesses while delivering a new level of service to patients.

Morgan Stanley reports that healthcare companies are expected to allocate 10.5% of their budgets to AI and machine learning next year, up from 5.5% in 2022.

Let’s dive deeper into the advantages of machine learning in healthcare operations, both from the medical and business perspectives.

Advanced Disease Detection

ML algorithms are trained on vast datasets of medical images, lab results, and patient records to recognize patterns associated with specific diseases. For example, in radiology, ML models can analyze thousands of X-rays or MRIs to detect subtle anomalies, such as early-stage tumors, that the human eye may miss.

By using ML for healthcare, medical facilities improve their accuracy over time by continually learning from new data, leading to more reliable and earlier diagnoses.

Customized Patient Care

One of the most representational benefits of machine learning in healthcare is that it analyzes patient data, including genetic information, past treatments, and responses to medications. This way, the technology helps to identify patterns that correlate with specific outcomes.

In oncology, ML can predict how different patients with the same cancer type may respond to various treatments based on their unique profiles. This allows doctors to design highly personalized treatment plans, optimizing therapy effectiveness and minimizing side effects.

Customer relationship management (CRM)

CRM software consolidates data that allows you to improve the way you manage your interactions and relationships with existing and potential customers. It helps you find new leads, turn them into customers, and provide service that engenders loyalty.

Risk Prediction and Prevention

ML uses historical patient data to train predictive models that forecast future outcomes, such as the likelihood of disease progression or hospital readmission. Machine learning medical devices analyze variables like vital signs, lab results, and demographic data to predict risks while cooperating with EMR/EHR software .

For instance, in chronic diseases like heart failure, ML models can mark patients at higher risk for complications, allowing clinicians to intervene earlier with preventive measures, reducing hospital admissions, and improving patient care.

Accelerated Drug Development

From a drug development perspective, the impact of machine learning on healthcare is substantive. ML algorithms process massive datasets of chemical compounds, biological interactions, and patient data to identify potential new drugs and predict their effectiveness in treating specific diseases.

They simulate how different compounds interact with biological targets, accelerating the identification of promising drug candidates. This drastically reduces the time spent on trial-and-error experimentation in the lab, leading to faster drug discovery and development.

Streamlined Healthcare Operations

ML analyzes hospital operational data, including patient admission trends, staff schedules, and resource usage, to optimize workflows. Thus, ML models can predict patient inflow based on historical data, allowing hospitals to better manage staffing levels and reduce wait times.

In addition, ML can automate repetitive administrative tasks, such as billing and appointment scheduling, freeing up healthcare providers to focus on patient care. This helps to improve overall efficiency in healthcare delivery and optimize hospital management .

Improved Prescription Accuracy

By analyzing a patient’s medical history, including allergies, previous treatments, and potential drug interactions, ML systems help healthcare providers make more informed decisions. These systems flag potential errors, such as incorrect dosages or dangerous combinations of medications, before they are prescribed.

The use of machine learning in healthcare prescriptions accounts for variations in patient response based on genetic data, allowing for more tailored prescriptions. This reduces the risk of adverse reactions, minimizes human error in prescribing, and leads to better patient outcomes, ensuring safer and more effective treatments.

Use Cases and Applications of ML in Healthcare

While AI comprises many ML applications across industries globally, the modern applications of machine learning in healthcare impress with their effectiveness and wide adoption. In fact, 94% of healthcare companies already utilized AI or ML in 2023. Let’s take a look at some prominent examples.

Predictive Analytics for Patient Outcomes

ML enables predictive analytics by analyzing large datasets to forecast patient outcomes, such as hospital readmission rates or the onset of chronic diseases. For example, NantHealth uses predictive modeling to create patient profiles, identify those at risk of poor health, and offer personalized care plans​.

Personalized Medicine

ML healthcare models tailor treatment plans based on individual genetic and medical data. Arizona State University has developed ML models to predict immune responses to new drugs, enhancing personalized care by minimizing adverse drug reactions.

Drug Discovery and Development

By analyzing vast chemical libraries to predict interactions and efficacy, ML accelerates drug discovery. Many pharmaceutical companies like Pfizer and AstraZeneca have used AI to reduce drug development times, which is especially evident during the rapid development of COVID-19 vaccines.

AI-driven models help identify new therapeutic uses for existing drugs, significantly speeding up the research process.

Medical Imaging and Diagnostics

Image recognition capabilities stand among the most impressive machine learning use cases in healthcare. The technology enhances diagnostics by analyzing medical images for early detection of diseases like cancer. Foreseemed uses predictive models to analyze imaging data, identifying early signs of disease progression.

AI’s ability to process vast amounts of imaging data helps improve diagnostic accuracy and reduce human error.

Virtual Health Assistants and Chatbots

AI-driven chatbots provide 24/7 healthcare support, assisting patients with symptom checks and medication reminders. IBM Watson Health utilizes ML to power its virtual assistant, offering personalized advice based on patient interactions.

These tools improve patient engagement while reducing the burden on healthcare professionals.

Remote Patient Monitoring and Telehealth

Machine learning enhances remote patient monitoring and telehealth by processing real-time data from wearables and mobile applications to detect anomalies in patient health. It constantly monitors vital signs and other health metrics, alerting healthcare providers when intervention is needed.

This approach improves chronic disease management, reduces hospital readmissions, and offers proactive care, particularly for elderly and at-risk patients. Biofourmis leverages ML algorithms to analyze patient data from wearables and predict potential health issues before they become critical, offering personalized remote care and reducing hospital visits.

Genomic Research and Analysis

Analysis of genome sequences is one of the most impressive machine learning examples in healthcare. ML helps identify disease-linked mutations, guide personalized medicine, and accelerate drug discovery. The integration of ML helps understand complex biological interactions that would be difficult to detect manually.

Deep Genomics applies the technology to identify genetic mutations associated with various diseases and develop targeted therapies. Their platform uses predictive modeling to understand how genetic changes affect disease progression, supporting personalized treatment options.

Challenges and Solutions in Implementing ML in Healthcare

With all the potential benefits of machine learning in healthcare, it takes a thorough approach, expertise, and adoption readiness to reveal the full power of this technology. Here are the common challenges you should address with an experienced IT outsourcing vendor or web development partner.

Data Privacy and Security

Given that ML relies heavily on patient data, there are significant concerns about the misuse or unauthorized access to sensitive information. Healthcare cybersecurity is integral to ensuring compliance with HIPAA and GDPR regulations.

The solution involves deploying advanced encryption techniques, secure cloud architectures , and anonymization processes to protect patient data. Additionally, companies must maintain compliance by integrating robust governance frameworks and continuously monitoring data security practices.

Data Quality and Accessibility

Another challenge is the quality and accessibility of healthcare data. Clinical data is often fragmented across multiple systems, prone to errors, or inconsistent in format, making it difficult for ML models to produce reliable insights.

The solution to this challenge is standardizing and cleaning datasets before feeding them into your existing software. Also, adopting FHIR (Fast Healthcare Interoperability Resources) standards can help streamline data sharing across both multi-tenant and single-tenant platforms.

Integration with Existing Systems

Implementing ML in medicine requires integrating existing healthcare systems like Electronic Health Records (EHRs) and legacy infrastructure. Not only may it not always be compatible with new technologies, but it can also be costly and time-consuming, creating a significant barrier to ML adoption .

A possible solution is using APIs and middleware to enable smooth cooperation between traditional systems and new ML-powered solutions, allowing for a seamless transition.

Clinician and Patient Trust

Many healthcare professionals are skeptical about AI and ML, fearing that these technologies might replace human judgment or lead to inaccurate diagnoses. Patients may also be hesitant to embrace AI-powered tools, especially if they feel their care is becoming impersonal.

Building trust requires transparency in how ML healthcare models work, rigorous testing to ensure accuracy, and ongoing education for clinicians and patients.

Why choose Acropolium?

Acropolium is a trusted vendor with extensive experience delivering secure, GDPR-compliant software for the healthcare industry. With ISO-certified processes and expertise in serverless solutions, we consistently meet the industry’s highest data protection and reliability standards.

With a clear understanding of the role of machine learning in healthcare, our company continuously explores the technology’s capabilities to breathe success into our client’s projects.

Acropolium Case Studies

From low-code MVP s to comprehensive cloud-based medical systems, we have developed over 23 solutions that have helped our clients from the medical field grow. Here are some of the latest results our clients achieved by embracing machine learning in healthcare with us.

Blockchain-based EHR Software Development

Our client sought to enhance the security and transparency of electronic health records (EHR) using blockchain technology.

Acropolium developed a blockchain-based EHR system, integrating advanced encryption, smart contracts, and a decentralized data storage mechanism:

• A transformative blockchain-based EHR solution was developed under tight deadlines, achieving improved interoperability for seamless integration with existing healthcare systems.
• The enhanced UI/UX boosted adoption rates and user satisfaction while ensuring full compliance with HIPAA regulations.

Cloud-based Bioscience App Development

A bioscience company required a scalable cloud-based solution for big data processing and analysis.

Acropolium created a cloud-based application with AI and ML algorithms designed for processing vast amounts of bioscience data, featuring real-time analytics and a user-friendly interface:

• The project launch time was reduced by 30%, while analysis processing accuracy increased by 40%.
• With the help of well-trained ML healthcare algorithms, the processing time decreased by 38%.

Final Thoughts

Incorporating machine learning in healthcare has become crucial for enhancing clinical operations, drug discovery, patient care, and data management. This technology enables medical institutions to process vast amounts of data more efficiently, improving decision-making and patient experiences.

With 20 years of developing bespoke software for healthcare, e-commerce , hospitality , and many more industries, we strive to transform operations with advanced, data-driven solutions.

Whether you are already starting your AI/ML journey or want to enhance your systems, we offer flexible subscription-based development and consulting services with your budget and goals prioritized.

Now that you know how machine learning is used in healthcare, contact us today — let’s elevate your company’s operations with smart algorithms!

Sources of Information

• AI/ML in Healthcare Report & Forecast 2023 — Morgan Stanley
• Artificial Intelligence in Healthcare Market 2024 — Precedence Research

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What are the top ML use cases in healthcare?

Top healthcare use cases for machine learning include predictive analytics for patient outcomes, personalized medicine, medical imaging diagnostics, and drug discovery acceleration. From the business side, applications focus on hospital operational optimization to improve care delivery and reduce costs.

Can ML improve the drug discovery process?

ML in healthcare is used to accelerate drug discovery by analyzing massive datasets of chemical compounds and predicting interactions, toxicity, and efficacy. Ultimately, it reduces research time and speeds up the development of new medications.

How is ML used in medical imaging and diagnostics?

Ml in medicine and diagnostics enhances medical imaging by detecting patterns in X-rays, MRIs, and CT scans with higher accuracy than traditional methods. The advanced algorithms aid early diagnosis of diseases such as cancer, cardiovascular conditions, and neurological disorders.

How does ML enhance operational efficiency in healthcare facilities?

By employing machine learning in healthcare, medical businesses automate routine administrative tasks, predict patient inflows, and manage hospital resources more effectively. This way, your company can improve scheduling, inventory management, and patient triage workflow.

How can healthcare organizations start implementing ML technologies?

Medical organizations can start implementing machine learning in healthcare operations by assessing their data infrastructure, selecting high-impact use cases, and partnering with tech providers. A decent vendor will ensure regulatory compliance, gradually integrating AI tools into your clinical and operational workflows.

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