HIP One — Designing for trust in healthcare AI
Redesigning medical review around a single principle: AI can accelerate evidence handling, but the human reviewer must retain visibility, context, and accountability.
Three kinds of friction were compounding.
PDF- and fax-heavy review created long turnaround times and repeated manual steps.
Separate review, analytics, and compliance tools created silos, duplicate work, and inconsistent context.
Dense evidence, audit pressure, and opaque AI recommendations reduced reviewer confidence and increased manual overrides.
Move from extraction to decision support.
Research designed to reduce clinical and adoption risk.
Aligned compliance constraints, workflow goals, and non-negotiables before interface design.
Observed manual PDF/EHR workflows to expose workarounds, interruptions, and high-friction handoffs.
Reviewed spreadsheets, forms, and operational artifacts to uncover hidden workflow logic.
Tested navigation and information grouping with representative users before high-fidelity design.
Needs fast access to patient context, risk evidence, and source material to make a defensible decision.
Needs workload, task status, SLA risk, and bottleneck visibility to prevent escalation.
Needs early risk signals and traceable evidence to support compliance and audit readiness.
Summaries first, evidence on demand, hierarchy shaped around scanning behavior.
Confidence, provenance, and human confirmation visible before consequential actions.
RBAC, validation, audit trails, and secure data handling embedded in the flow rather than bolted on.
Priority, type, status, and SLA cues make workload state instantly scannable.
Drag-and-drop upload, real-time validation, and required metadata prevent incomplete cases entering the pipeline.
Source document and AI decision panel remain side-by-side to reduce context switching and support verification.
Low-confidence fields, accuracy signals, and targeted validation states direct attention where it is most needed.
Five legacy tools → one role-based workflow.
Navigation follows the clinical task sequence while permissions determine what each role can see and do.
- Role-based interfaces reduced reviewer cognitive load.
- Five fragmented tools were consolidated into one workflow model.
- Audit-ready controls were embedded across critical steps.