03 — HEALTHTECH POCS · APR–MAY 2025 · HEALTHCARE · GENAI
Validating GenAI for clinicians — from research to C-suite approval in 3 weeks
Role
UX Researcher · Product Strategist · Designer · GenAI Prompt Engineer
Team
1 Product Manager · 2 Engineers
Timeline
Apr – May 2025 · 3-week cycle per POC
Full details are under NDA. What I can share: the research approach, the design process, and the outcomes. The work involved designing and shipping multiple GenAI proof-of-concepts for clinical workflows at a Singapore healthtech company — validated with clinicians, then presented to C-suite with six-figure commercial value identified.
WHAT I DID
Led UX research with clinicians across multiple disciplines to map where GenAI could meaningfully reduce workflow overhead — without adding cognitive load to clinical decision-making.
Designed the POC interaction models end-to-end: framing the AI's role, defining input/output boundaries, and prototyping in Figma for clinical validation sessions.
Ran the prompt engineering work that made each POC functional — writing, testing, and iterating the AI instructions that shaped what the models produced and how clinicians experienced the output.
Facilitated structured feedback sessions with clinicians after each POC round, distilling findings into design iterations in the same 3-week cycle.
Presented validated POCs to C-suite and clinical leadership, translating design decisions and research findings into commercial terms.
Navigated NDA constraints throughout — designing with de-identified inputs only, ensuring no clinical data entered any AI workflow.
THE CHALLENGE
How might we leverage GenAI to generate meaningful productivity gain for clinicians?
Constraint
Clinical data is out of scope
All AI interactions had to operate on de-identified inputs only. Every POC was designed around this constraint from the start — not retrofitted later.
Constraint
Trust is earned in the room
Clinicians are skeptical of AI for good reason. Validation sessions had to surface real resistance and address it — not smooth it over. Early feedback shaped everything.
THE PROCESS — 3-WEEK CYCLE PER POC
Clinician interviews and workflow mapping
Interviewed clinicians across disciplines to map pain points in their existing workflows. Identified where time was being lost to administrative and documentation work — and where GenAI could absorb that load without entering clinical decision territory.
Rapid GenAI prototyping and internal testing
Built functional prototypes within a 3-week cycle per POC. Each prototype was prompt-engineered to match the specific clinical context — register, structure, constraints. Tested internally before clinician exposure to catch failure modes early.
Clinical and executive validation
Ran validation sessions with clinicians, incorporating feedback into a final iteration. Presented the validated POC to C-suite — framing findings in commercial value terms, not design terms. Both the POC and the process were evaluated.
NDA NOTE
Specific POC types, clinical workflow details, patient-adjacent data, and company name are under NDA. The process, research methodology, and validated outcome figures above are what I can share. I am happy to discuss the work further in a conversation — reach out via the links below.
OUTCOMES
commercial value identified from the validated POC portfolio, with active implementation discussions initiated with the client
design-to-validation cycle per POC — from clinician interviews to C-suite presentation
validated with clinicians across disciplines and signed off by executive leadership