Aphasia

The strategy was to create a patient-centric mobile application that serves as a single source of truth for all treatment-related data. Instead of juggling paper printouts and fragmented information, the app was designed to simplify data collection and visualization. Based on detailed persona creation, our goal was to reduce the cognitive load on patients, improve their health literacy, and facilitate more effective communication with their doctors. The core of the app is structured around the three key data pillars: automated machine values, structured lab results, and easy-to-log subjective side effects.

Our research was deeply rooted in the real-world patient experience. By accompanying an apheresis patient during her treatment and conducting interviews with medical specialists, we gained profound insights. The primary pain point was the overwhelming and disconnected nature of health data. Patients receive machine readouts, separate lab reports, and must mentally correlate these with how they feel. This highlighted a clear need for a tool that not only consolidates data but also visualizes trends and provides positive, motivational feedback to support them in their lifelong therapy.

We followed a structured design process to ensure the solution was both effective and user-friendly. After initial Research and Problem Definition, we moved into Concept Development using creative methods like Crazy 8s and scenario development. The app's features and structure were defined through user stories and swimlane diagrams. This led to the UX Design phase, where we built the information architecture and created detailed user flows and wireframes. The process culminated in the UI Design phase with the creation of comprehensive high-fidelity prototypes for testing and presentation.

The design of Aphasia prioritizes clarity, calmness, and empowerment. The user interface uses a clean layout and a soft color palette to create a stress-free experience. The main dashboard offers a quick, motivational overview of the patient's current status and next appointment.

The "Treatment History" section translates complex machine values and lab results into simple, easy-to-read charts and cards. Logging side effects is made effortless through an icon-based system, allowing patients to add an entry with just a few taps. Every screen is designed to give the patient a feeling of control and understanding.

This project was a deep dive into patient-centric design for chronic health conditions. The most important learnings were:

• Empathy through Observation is Key: Directly shadowing a patient during her physically and emotionally taxing treatment provided a level of empathy and understanding that is impossible to achieve through interviews alone.
• Data Can Be a Motivator: By transforming raw, intimidating medical data into clear trends and positive feedback (e.g., "Your LP(a) value is below average!"), an app can become a source of motivation rather than just a passive logbook.
• Design for the Long Haul: For a lifelong condition, the user experience must be frictionless and sustainable. Every interaction was designed to minimize effort and cognitive load to ensure the app remains a helpful companion for years to come.