1. Free introductory assessment
Starts a leadership conversation and identifies areas that may need further attention.
Assess 10 capabilities that support safe, effective AI use. Rate the practices your organization can demonstrate today. The results highlight strengths, gaps and the domains that need attention before a proposed use moves forward.
Answer for your hospital as it operates today, including practices still being developed. A quality or patient safety leader can complete this screen independently; discussing the answers with clinical, operational, technology and executive colleagues will give you a more useful picture.
Use the results to identify questions to investigate and priorities for planning. This introductory screen starts a conversation; it does not certify readiness or replace a comprehensive assessment of a specific AI use.
How to use this profile: Discuss the findings across functions. Differences in how leaders answer may be as informative as the overall score.
The workbook requires minimum domain capabilities by AI risk tier. Select the tier for a proposed use. This screen cannot determine the tier or assess all use-case controls.
This short screen samples 20 of the full workbook’s 50 enterprise items. Scores are indicative and based on self-report, with no review of supporting evidence. A full assessment evaluates all items, each AI use case, required controls and documented evidence. An average score never overrides a failed or unverified safety gate.
The Hospital AI Readiness Initiative helps hospitals and health systems build the organizational capabilities needed to select, implement, govern and monitor artificial intelligence responsibly. It approaches AI readiness as a quality, patient safety and organizational change responsibility, not solely as a technology or procurement decision.
The free introductory assessment provides an accessible starting point for multidisciplinary discussion. Organizations seeking a deeper review can use the comprehensive assessment and implementation resources to identify priorities and develop an actionable improvement roadmap.
Starts a leadership conversation and identifies areas that may need further attention.
Examines readiness across the full set of organizational domains and supporting evidence.
Supports governance, prioritization, validation, workflow integration, workforce preparation, patient engagement and monitoring.
Helps organizations interpret findings, engage stakeholders and develop a practical readiness roadmap.
The assessments are educational and planning resources. They are not certifications, regulatory determinations or approvals of an AI system.
Stephen L. Davidow, MBA-HCM, LSSBB, CPHQ, is a health care quality improvement and patient safety professional with experience spanning hospitals, national medical organizations, performance measurement, clinical data standards and health care communications. His work has included service as a hospital clinical patient safety officer and senior performance improvement engineer, director of quality improvement for the American Medical Association-convened Physician Consortium for Performance Improvement, and a Malcolm Baldrige National Quality Award examiner. He also has served on CMS and CDC quality-related technical expert panels and co-edited the American Hospital Association’s Guide to Governance for Hospital and Health System Trustees.
He developed the Hospital AI Readiness Initiative to help hospitals approach artificial intelligence as a quality, safety and organizational change responsibility, not solely as a technology acquisition. The initiative connects AI governance and implementation with disciplines hospitals already use to improve care: clear accountability, process design, local validation, risk identification, workforce engagement, measurement and continuous learning.
The free introductory assessment is designed to start a multidisciplinary conversation. It is an educational and planning resource, not a certification or approval of any AI system.
Contact: davidowquality@gmail.com