Global AI Governance: Maturity and Implementation in Leading Hospitals for Responsible AI in Healthcare

NCT07727603 | Enrolling By Invitation

• 1 other identifier: 14381
• Study Type: observational
• Target: 350
• Locations: 1 country
• Sites: 1

Brief Summary

Despite growing interest in artificial intelligence (AI) for Healthcare, successful implementation practices are still limited due to the complexity of developing and deploying AI systems. Effective AI governance is essential for safe, ethical and regulatory-compliant deployment of clinical AI. This study qualitatively evaluates both the maturity of AI implementation and the governance frameworks applied by leading "smart" hospitals. Findings will inform a consolidated governance toolkit for hospitals seeking responsible, scalable AI adoption.

Conditions

AI Governance; AI Maturity; AI

Keywords

AI Governance

Outcome Measures

Primary Outcomes (1)

• Current AI Governance set-up

  We will distribute an online questionnaire to all 350 hospitals identified as "Best Smart Hospitals" in Newsweek's 2026 ranking. The survey will capture each institution's current AI governance structures, and self-reported outcomes, as well as key demographic and operational characteristics. The questionnaire is based on the AI governance frameworks from Seanz et al., AI governance in health systems by Duke Health and the AI preparedness assessment developed by the European TRAIN initiative.

  Hospitals will have 6 weeks from the moment they receive the survey to complete it, and we anticipate needing about four months to conduct the interviews.

Study Arms (1)

350 Best Smart Hospitals 2026

Other: Survey and Interview

Interventions

Survey and Interview OTHER

Survey and interviews about AI Governance of the best smart hospitals globally

350 Best Smart Hospitals 2026

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Eligible participants were senior digital-health executives (e.g., Managing Director / Senior Management or Chief Information / Digital Officer) at the 350 hospitals designated as the "Best Smart Hospitals" in Newsweek's 2026 ranking. Afterwards, in-depth interviews will be conducted with representatives from the top 30 smart hospitals that achieved an "outstanding" rating for AI implementation in the same Newsweek list.

You may qualify if:

• Senior digital-health executives (e.g. Managing Director / Senior Management of Chief Information / Digital Officer or equivalent) designated by each hospital.
• Written informed consent

Sponsors & Collaborators

• Erasmus Medical Center: lead

Study Sites (1)

Erasmus Medical Center

Rotterdam, 3015GD, Netherlands

Location

MeSH Terms

Interventions

Surveys and Questionnaires; Interviews as Topic

Intervention Hierarchy (Ancestors)

Data Collection; Epidemiologic Methods; Investigative Techniques; Health Care Evaluation Mechanisms; Quality of Health Care; Health Care Quality, Access, and Evaluation; Public Health; Environment and Public Health

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Post-doc, dr.

Study Record Dates

• First Submitted: March 2, 2026
• First Posted: July 27, 2026
• Study Start: June 8, 2026
• Primary Completion (Estimated): December 2, 2026
• Study Completion (Estimated): January 2, 2027
• Last Updated: July 27, 2026

Record last verified: 2026-07

Locations

NL (1)