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

July 21, 2026 updated by: Davy van de Sande, Erasmus Medical Center
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.

Study Overview

Status

Enrolling by invitation

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

350

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Netherlands
      • Rotterdam, Netherlands, 3015GD
        • Erasmus Medical Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

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.

Description

Inclusion Criteria:

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

Exclusion Criteria:

-

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
350 Best Smart Hospitals 2026
Other: Survey and Interview
Survey and interviews about AI Governance of the best smart hospitals globally

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Current AI Governance set-up
Time Frame: 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.
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.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Erasmus Medical Center

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 8, 2026

Primary Completion (Estimated)

December 2, 2026

Study Completion (Estimated)

January 2, 2027

Study Registration Dates

First Submitted

March 2, 2026

First Submitted That Met QC Criteria

July 21, 2026

First Posted (Actual)

July 27, 2026

Study Record Updates

Last Update Posted (Actual)

July 27, 2026

Last Update Submitted That Met QC Criteria

July 21, 2026

Last Verified

July 1, 2026

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 14381

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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