Govern AI. Patient Thrives.

Why This Exists

ECRI named "Navigating the AI Diagnostic Dilemma" as the #1 patient safety concern for 2026. AI adoption in clinical settings is accelerating — 66% of physicians reported using AI in 2024, up from 38% in 2023 — but governance, training, and oversight have not kept pace.

Hospitals face a critical challenge: they need AI to improve diagnostic accuracy, reduce cognitive load, and streamline workflows. But unchecked AI adoption risks misdiagnosis, eroded clinical skills, automation bias, and healthcare disparities.

This application provides a single command center for tracking every dimension of safe AI adoption: which tools are deployed, who's trained, which patients have been informed, where incidents have occurred, and whether AI is performing equitably across all patient populations.

10 Modules

ECRI 2026 Alignment

Every module maps directly to ECRI's action recommendations across their four foundational categories:

Culture, Leadership, and Governance — AI usage policies, oversight committee tracking, business case documentation, human factors assessments.

Patient and Family Caregiver Engagement — AI disclosure, informed consent, opt-out clauses, patient concern tracking.

Workforce Safety and Well-Being — Staff satisfaction monitoring, critical thinking preservation, just culture indicators, speak-up environment.

Learning System — Incident reporting with AI-specific categories, vendor follow-up, corrective actions, critical thinking training, equity audits.

Data Import & Export

The tracker accepts JSON data files that you can upload via the Import button. Your data replaces the demo dataset immediately. You can also export the current dataset at any time as a JSON file for backup, sharing, or audit purposes.

See the Help page for the complete data specification and a sample file.

Built By

HEailTCaiRE.ai — Enterprise Performance Optimization Intelligence. Building AI-powered governance and operations tools for healthcare organizations.

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