This is the mobile view for the Patient
This is the Desktop view for the Provider
How might we prevent chronic pain and prescription opioid addiction with a scalable patient self-management program that is provider focused?
In order to gain deeper insights into the experiences of individuals enduring chronic pain, we conducted interviews with both patients grappling with conditions and physicians responsible for their treatment. By engaging with both perspectives, we sought to develop a comprehensive understanding of the challenges and realities faced by those living with chronic pain.
We organized a comprehensive workshop involving 20 participants, during which we went the extra mile to gather essential insights. This included conducting in-depth interviews with three patients and three doctors, enabling the participants to deeply grasp the issues we aimed to address. By closely observing and engaging with these individuals, we successfully identified their pain points, desires, and requirements, which served as valuable validation for the personas we had developed earlier. In particular, the doctors and patients generously shared their experiences, taking us through a typical day in their lives, providing us with a profound understanding of the challenges they encounter regularly.
After interviewing, we gathered pain points, and insights to generate the patients current experience with visiting the doctor.
The solution is designed for patients suffering from pain and their providers that relieves the distress, reduces anxiety and frustration from lack of control and uncertainty by providing a physician-directed comprehensive pain care plan that includes incentives for both patients and providers to complete tasks and follow a specific care plan; an accessible, meaningful knowledge base with interactive tracking and feedback to providers resulting in increased hope, reduced pain and improved quality of life through greater feelings of empowerment, self-efficacy, reliable care options and support.
From here we created a rough flow of how the patient would interact with the app from receiving the initial email from the doctor, meeting their care team, and checking their pain level progressions.
.
The future relationship between the chronic pain patient and doctor looks a lot more transparent than it does now. The patient is more informed on how to be pain-free and the doctor is more informed on what the patient is going through on the daily.
To further drive the point home, I took the Future State Journey Map and created an animated video out of it using Adobe Illustrator and After Effects.
User Feedback Summary:
Overall, users found the interface intuitive and easy to navigate.
The chat feature was praised for its responsiveness and simplicity, making it convenient for users to communicate with their care providers.
Video consultations were reported to be smooth and seamless, with minimal lag or technical issues.
Users appreciated the ability to schedule appointments and receive reminders through the app, streamlining the healthcare management process.
Some users suggested additional features such as medication tracking and integration with wearable devices for comprehensive health monitoring.
Ease of Use Ratings:
Chat Feature: 4.5/5
Video Consultations: 4.7/5
Appointment Scheduling: 4.3/5
User Satisfaction:
90% of users expressed satisfaction with the app's functionality and ease of use.
85% of users reported that they would recommend the app to friends or family members.
Specific User Comments:
"I love how easy it is to chat with my doctor whenever I have a question or concern. It saves me the hassle of scheduling an in-person appointment."
"The video consultations feel just like being in the doctor's office. It's so convenient, especially for routine check-ups."
"I appreciate the reminders for my upcoming appointments. It helps me stay on top of my healthcare routine."
Areas for Improvement:
A few users expressed a desire for more personalized features, such as the ability to customize notification preferences or access tailored health resources within the app.
While the app performed well overall, to make adoption of the features easier on the customer, most of the video and chat functions were later integrated into the current Telehealth app that doctors and patients currently use and are more familiar with.
If this project were built today, Artificial Intelligence would serve as the core engine of the experience. Rather than functioning only as a tracking tool, the platform would become an intelligent, adaptive care companion that learns from each patient’s behavior, anticipates their needs, and supports providers with actionable insights.
The pain scale remains central to the experience, but AI transforms it from a manual input into a guided interaction. Instead of simply asking patients to log their pain, the system proactively suggests a likely pain level based on historical patterns, sleep, activity, and emotional trends. The user confirms or adjusts with a single tap, turning data entry into validation rather than work.
This approach preserves clinical accuracy while reducing friction and improving long-term engagement.
For patients, AI introduces:
Personalized pain pattern recognition and prediction
A conversational health assistant that translates emotions and symptoms into structured medical data
Adaptive care plans that evolve based on real-world behavior
Smarter reminders and encouragement that prevent burnout
Early warning detection for flare-ups, emotional distress, or risky medication patterns
The experience shifts from “tracking pain” to “being supported through pain.”
Pain Assessment
Upon logging into the app, patients are first guided through a pain assessment that helps identify the location, intensity, and nature of their discomfort. This initial evaluation provides both the care team and the application with a clear understanding of the patient’s current condition. Once completed, the app establishes a personalized baseline that informs treatment recommendations, progress tracking, and ongoing support.
Meet your Care Team and Dashboard
After completing the pain assessment, patients are introduced to their dedicated care team who will support them throughout their entire journey. This team becomes their direct point of contact, providing guidance, encouragement, and personalized care whenever it’s needed. Patients also gain access to a centralized dashboard that offers a clear, bird’s-eye view of their pain levels, treatment progress, and milestones. This ensures transparency, builds confidence, and empowers patients to stay informed and actively engaged in their healing process.
AI Predictive Pain Level Flow
AI Predictive Pain Level uses patient data, ongoing assessments, and behavior patterns to intelligently anticipate changes in pain before they happen. By analyzing trends over time, the AI can identify early signals of flare-ups or improvement and adjust recommendations accordingly. This proactive approach allows patients and their care team to stay ahead of pain, make informed decisions sooner, and create a more responsive, personalized treatment experience.
Original Experience: Pain is logged → Data is stored → Doctor reviews later
AI-Enhanced Experience: Patterns are learned → Pain is predicted → User confirms → AI interprets → Doctor acts immediately
Chatbot
The AI chatbot transforms the pain management app from a passive tracking tool into an active care companion. In the previous version, patients logged pain manually and waited for providers to review the data later. With the AI chatbot, support becomes immediate, personalized, and continuous. The chatbot guides patients through pain check-ins using conversational prompts, helping them describe symptoms more accurately while reducing the effort of data entry. It recognizes patterns in pain levels, mood, activity, and treatment response, allowing it to anticipate needs, suggest next steps, and flag concerns in real time.
Instead of patients simply recording pain, they feel supported through it. The chatbot offers reassurance, education, and timely reminders while translating everyday language into structured clinical data providers can act on quickly. For doctors, this means clearer insights, faster decision-making, and early detection of risks. For patients, it means less friction, more engagement, and a sense that the system understands and responds to their experience rather than just storing it.
Care Team Chat
Care Team Chat is available as a personalized support option alongside our AI chatbot. While the AI provides instant answers and guidance, our human care team steps in when empathy, deeper understanding, or complex problem-solving is needed. This hybrid approach ensures users always have the right level of support—combining the speed of AI with the trust, intuition, and compassion of real people for a more complete and reassuring experience.
Resources
The Resource Video section provides patients with personalized, monitored video content tailored to their specific pain and recovery needs. These guided videos offer education, exercises, and coping strategies designed to support healing, reduce discomfort, and keep patients actively engaged in their progress.
For providers and organizations, AI enables:
Automatic patient risk stratification and prioritization
Clear daily summaries instead of raw data overload
Faster clinical decision-making with higher confidence
Predictive intervention opportunities that reduce emergency visits and long-term treatment costs
Rich, research-ready datasets that support population health initiatives
This redesign reframes the platform as an intelligent care system rather than a static health application.
Insurance Validation
The Insurance Verification page allows providers to quickly run and confirm a patient’s insurance coverage before the patient is added to the system. This ensures eligibility, benefits, and authorization requirements are validated upfront, reducing administrative delays and preventing billing issues later. Once verified, the patient is seamlessly imported into the platform, allowing care to begin with confidence and accuracy.
Dashboard Overview
The Provider Dashboard offers a complete, at-a-glance view of patient care and progress. The Overview Dashboard highlights real-time pain levels and overall patient status, while the Patient Dashboard allows providers to drill into individual patient details, history, and trends. The Analytics Dashboard delivers deeper insights into outcomes, patterns, and performance. The Messaging Dashboard centralizes all patient communication for faster, more personal care, and the Calendar keeps appointments, follow-ups, and care milestones organized in one place. Together, these tools create a streamlined, data-driven workflow that helps providers deliver proactive and personalized treatment.
Patient Messaging
The Patient Messaging Dashboard allows providers to communicate directly with individual patients while maintaining a clear view of their current pain-level risk. Patients are visually organized by status, making it easy to identify who may need immediate attention, follow-up, or routine support. This enables doctors to send timely, personalized messages, intervene early when pain levels rise, and ensure no patient is overlooked. It transforms communication into a proactive care tool rather than a reactive one.