BioTrack | Tissue Tracking Workflow Simulation

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.