AI GovernanceNCT07727603
Global AI Governance: Maturity and Implementation in Leading Hospitals for Responsible AI in Healthcare
An observational study of AI Governance and AI Maturity, run by Erasmus Medical Center at 1 site in Netherlands.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- AI Governance, AI Maturity, AI
- What is being tested?
- Survey and Interview
- How many people
- 350 participants
- Where
- 1 siteNetherlands
- Study dates
- 8 Jun 2026to 2 Jan 2027
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
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.
Who may be able to join
- Senior digital-health executives (e.g. Managing Director / Senior Management of Chief Information / Digital Officer or equivalent) designated by each hospital.
- Written informed consent
Who cannot join
- -
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
About this study
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
- Being tested
- Survey and Interview
- Keywords
- AI Governance
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Survey and InterviewOther
Survey and interviews about AI Governance of the best smart hospitals globally
| Study group | Role | What they receive |
|---|---|---|
| 350 Best Smart Hospitals 2026 | Not described Receives: Other: Survey and Interview |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 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.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Jul 2026
- Study start8 Jun 2026
- Primary completion2 Dec 2026 (estimated)
- Study completion2 Jan 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for AI GovernanceStudies of the same condition, open and under way.
- More trials run by Erasmus Medical CenterThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Prospective
- Enrolment
- 350 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Erasmus Medical Center
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Davy van de Sande, Erasmus Medical Center
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07727603
- Sponsor's protocol ID
- 14381
- Status last verified
- Jul 2026
- First submitted
- 2 Mar 2026
- Last updated
- 27 Jul 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 27 Jul 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Global AI Governance: Maturity and Implementation in Leading Hospitals for Responsible AI in Healthcare
- ClinicalTrials.gov ID
- NCT07727603
- Acronym / sponsor ID
- 14381
- Conditions
- AI Governance, AI Maturity, AI
- Keywords
- AI Governance
- Study type
- Observational
- Recruitment status
- Enrolling by invitation
- Enrolment
- 350 participants (estimated)
- Lead sponsor
- Erasmus Medical CenterUniversity, hospital or other
- Study start
- 8 Jun 2026 (actual)
- Primary completion
- 2 Dec 2026 (estimated)
- Study completion
- 2 Jan 2027 (estimated)
- First posted
- 27 Jul 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Other
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| 350 Best Smart Hospitals 2026 | – | Other: Survey and Interview |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- 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.
Key inclusion criteria (2 listed)
- Senior digital-health executives (e.g. Managing Director / Senior Management of Chief Information / Digital Officer or equivalent) designated by each hospital.
- Written informed consent
Key exclusion criteria (1 listed)
- -
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Survey and InterviewSurvey and interviews about AI Governance of the best smart hospitals globally | Other | 350 Best Smart Hospitals 2026 |
Primary outcome
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.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 Jul 2026.
- Individual participant dataSharing planned: Undecided
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of AI Governance and AI Maturity, run by Erasmus Medical Center at 1 site in Netherlands.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: enrolling by invitation, as of the sponsor's last update on 27 Jul 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Netherlands. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
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.). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 Jul 2026.