TruAI helps hospitals adopt AI in a way that is safe, transparent, equitable, and aligned with clinical judgment. Built on ECRI's 2026 Top 10 Patient Safety Concerns — the organization that named "Navigating the AI Diagnostic Dilemma" as the number-one patient safety concern for 2026.
AI adoption in clinical settings is accelerating, but governance, training, and oversight have not kept pace. Unchecked adoption risks misdiagnosis, eroded clinical skills, automation bias, and healthcare disparities. TruAI provides a single command center for tracking every dimension of safe AI adoption: which tools are deployed, who is trained, which patients have been informed, where incidents have occurred, and whether AI is performing equitably across all patient populations.
10 Modules
- Dashboard — Portfolio KPIs, risk distribution, alerts, ECRI alignment score
- AI Registry — Inventory of all AI tools with risk, transparency, validation, and failure modes
- Governance — Policy status, approval tracking, human factors reviews, regulatory compliance
- Training — Staff competency tracking: AI training, critical thinking, bias education, error reporting
- Clinical Use — Where AI is used in diagnosis, documentation requirements, clinician overrides
- Consent — Patient AI disclosure, informed consent, opt-out tracking by department
- Safety Events — Incidents, near misses, hallucinations, automation bias events, vendor follow-up
- Workforce — Staff satisfaction, workflow burden, usability, deskilling concerns, speak-up culture
- Equity — AI performance across demographics, disparity gap tracking, bias escalation
- Reports — Executive summaries, ECRI compliance scorecard, audit-ready documentation
ECRI 2026 Alignment
Every module maps directly to ECRI's action recommendations across four foundational categories: Culture, Leadership, and Governance — including AI usage policies, oversight committee tracking, and human factors assessments. Patient and Family Caregiver Engagement — including AI disclosure, informed consent, and opt-out tracking. Workforce Safety and Well-Being — including satisfaction monitoring, critical thinking preservation, and just-culture indicators. Learning System — including incident reporting with AI-specific categories, corrective actions, and equity audits.