Role: Clinical Systems Enablement & Workflow Simulation Specialist
Scale: Enterprise healthcare workflow simulation and systems training support
Tech Stack: Claude (Rapid Prototyping), React (UI Artifacts), Articulate 360, Canva, Camtasia
Project Summary: Developed a high-fidelity workflow simulation supporting BioTrack, a biological tissue tracking module used within a clinical documentation environment. The project focused on reinforcing accurate receipt, verification, and documentation workflows tied to biological tissue management and patient safety processes.
The simulation was designed to help users navigate high-consequence documentation steps involving barcode scanning, expiration verification, and tissue tracking procedures within a fast-paced surgical workflow environment..
Key Challenges: High-Consequence Workflow Accuracy
The project addressed several operational and workflow-related risks commonly associated with biological tissue documentation:
Potential for incomplete or bypassed verification steps during high-volume intake processes
Risk of expired tissue being documented incorrectly within the workflow
Need for clearer system feedback and validation during barcode scanning and manual entry processes
Requirement for realistic workflow testing before final training deployment
Solution Approach:
Instead of starting with traditional slide design, I utilized AI-Assisted Prototyping to build a functional logic model. This allowed for immediate testing of "Hard-Stop" triggers before final deployment.
Key Features Included:
Workflow-Based Verification Logic
Simulated a barcode-to-EHR handshake where lot numbers auto-populate upon field focus, mirroring real-world clinical hardware.
Validation & Alert Simulations
Built scenario-driven “hard-stop” interactions that prevented users from proceeding when expired tissue dates or incomplete verification steps were identified within the workflow.
Simplified Clinical UI Concepts
Developed clean, minimal interface concepts focused on reducing cognitive overload and improving visibility of high-priority alerts and status indicators.
Realistic Workflow Interactions
Created simulated barcode-driven population behaviors and field-validation scenarios to mirror real-world documentation experiences within clinical systems.
Forward-Looking Technology Considerations
The project also explored how future automation and AI-assisted workflow monitoring could support tissue-tracking accuracy and operational safety.
Areas explored included:
Automated validation concepts tied to tissue expiration monitoring
AI-assisted alerting for potential documentation inconsistencies
Structured workflow checks supporting future operational review processes
Human-review-centered approaches to automated safety notifications
Outcomes & Impact
Increased Workflow Accuracy
Reinforced consistent verification behaviors within high-risk documentation workflows.
Improved Simulation Validation
Accelerated workflow testing and interaction refinement through rapid prototyping methods prior to final development.
Enhanced User Readiness
Provided users with realistic practice opportunities for handling tissue verification scenarios in a controlled learning environment.
Regulatory & Operational Alignment
Supported workflow consistency aligned with organizational documentation and tissue-tracking procedures.
Phase 1: Rapid AI Prototyping & Logic Validation
Click Play to view a demo of the simulation developed in Claude.
Phase 2: High–Fidelity Enterprise Implementation
Click Play to view a demo of the simulation developed in Storyline.