Issued2025-04-28

Consensus Statement on AI in Healthcare

StandardVoluntary

Summary

The Health IT End-Users Alliance released a consensus statement outlining principles for the development, deployment, and oversight of AI in healthcare from the perspective of clinicians, health information professionals, and other front-line users. The statement highlights the need for safety, transparency and explainability, data protection, clear accountability, rigorous evaluation, and meaningful involvement of end-users in AI design, testing, procurement, and governance.

Healthcare Implications

It provides a voluntary governance benchmark for hospitals, clinics, and health IT teams that are procuring or implementing AI tools. By centering end-user experience and calling for risk-based oversight and continuous monitoring, the statement can inform internal AI governance committees, procurement criteria, and vendor requirements, supporting safer and more trustworthy AI adoption in clinical, administrative, and population-health workflows.

Impact Level

Medium

Keywords

Safety & Risk; Transparency & Governance; Privacy & Data; Clinical Quality & Efficacy

Stakeholders

Providers & Health Systems; Payers & Purchasers; Developers & Vendors; Regulators & Government; Patients & Public