A future vision of AI integration in individual healthcare
Position and contributions
I took on the role of strategic consultant for usability and human factors in a five-person team consisting of two statutory health insurance consultants, one business developer and two UX designers. My contribution spanned three levels: leading the innovation workshop, orchestrating the UX process from concept to finished prototype, and presenting the result at DMEA 2026.
In the workshop, I facilitated the exploration of the central question: Where exactly does the gap between AI assessment and care management emerge, and how can a statutory health insurance application close it? I synthesized the results into a concrete use case that served as the foundation for the entire prototype. In the subsequent design process, I coordinated the UX designers in translating the concept into an interactive click dummy with over 20 screens and 5 integrated touchpoints, from voice input through electronic health record analysis to doctor appointment booking.
The Process
Step 1: Desk Research and Context Analysis
The starting point was a targeted analysis of current developments in AI-powered health applications. Which tools are insured persons already using? Where do their capabilities end? The findings formed the content foundation for the workshop and helped focus the discussion on the relevant interfaces between AI and statutory health insurance care.
Step 2: Innovation Workshop
The entire five-person team came together in a structured workshop to address the central question: What does a statutory health insurance app look like that translates AI assessments into real care? Together, scenarios were explored, care gaps identified and initial solution approaches sketched out.
Step 3: Analysis and Use Case Definition
The workshop results were analyzed and distilled into a concrete use case: an insured person with chronic high blood pressure whose journey begins with a ChatGPT assessment and progresses through electronic health record analysis, a monitoring program with AI coaches, all the way to doctor appointment booking. This use case defined the narrative framework for the entire prototype.
Step 4: UX Concept and Prototyping
Based on the use case, the UX designers developed the interactive click dummy in Figma under my coordination. The prototype maps the complete care flow: from voice input through electronic health record triage and personalized care program to the practice report that can be sent directly to the general physician.
Conversational UI
Integration in existing ePA-System
From analysis to the solution
Agentic Support along the way
Key Details & Numbers
Project duration
2 weeks
Methods
Research and Analysis
Desk research on AI-powered health applications and their interfaces with statutory health insurance. Focus on existing care gaps and user behavior.
Workshop and Synthesis
Structured innovation workshop with the full team, followed by analysis and distillation of results into a viable use case with a defined care flow.
Concept and Prototyping
UX concept for the complete care flow, implemented as an interactive click dummy in Figma with over 20 screens and 5 integrated touchpoints.
Software Stack
Figma + Figma Make
Claude Code
