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The operator locates, reads, and combines relevant guidance while keeping the interaction moving.
CASE 06 / AI VISION & EXPERIENCE DESIGN
Turn AI capability into a bounded, inspectable workflow for a clinical operator.
An anonymized experience narrative. Demonstrations use reconstructed flows and invented inputs; internal metrics and artifacts are excluded.
An operator needs help understanding a procedure while handling a live task. Sometimes the reference material is sufficient. Sometimes context is missing. Sometimes the request asks for a decision the assistant should not make. A convincing product must handle all three.
My experience includes originating concepts and requirements for clinical assistance: contextual knowledge, summarization, and workflow support. The product needed to help the operator’s task while making the relationship between suggestion, review, and action understandable.
I authored product narratives and requirements and worked through the operator experience. My contribution was in framing the problem, defining the scope of assistance, and connecting capabilities to a reviewable workflow; the wider implementation was a team effort.
The operator locates, reads, and combines relevant guidance while keeping the interaction moving.
A bounded assistant organizes relevant information for the operator to inspect and decide how to use.
Design around a specific job instead of a general chat surface.
Fluent conversation is not evidence that the product helps someone complete the work.
Connect a suggestion to relevant reference material and show when context is insufficient.
A confident answer without support can increase the reviewer’s burden rather than reduce it.
Give out-of-scope requests a clear handoff and let people review or dismiss assistance.
A boundary written in a product document is incomplete until it changes the user experience.
Care Navigator uses scripted synthetic scenarios. It makes no clinical decisions, accesses no patient records, and represents a proposed experience rather than a live AI service.
Enable JavaScript to play the synthetic scenarios and inspect the decision flow.
A reconstructed evaluation plan showing the questions I would make explicit. These are evaluation criteria, not reported test results.
| Use case | Expected behavior | Evidence to inspect |
|---|---|---|
| Supported question | The draft is relevant, inspectable, and useful for the task. | Source support; usefulness; correction effort. |
| Insufficient evidence | The assistant asks a relevant clarifying question. | Unsupported assertions; quality of clarification. |
| Outside the assistive scope | The experience hands off with context instead of taking authority. | Boundary adherence; handoff clarity; user understanding. |
The documented work includes the originating product concept and requirements for clinical assistance. The interactive Care Navigator below is a new, independent portfolio concept inspired by that experience. It is not a reproduction of the employer product and has not been validated with users.
The next experiment I would run is whether an operator can accurately explain what the assistant knows, what it cannot decide, and how to recover from an unhelpful suggestion.