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Testing a new AI tool to improve antibiotic prescriptions: a study comparing doctor decisions with and without AI support

Impact of an AI clinical decision support system on antibiotic prescribing confidence: a randomized controlled trial

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN16278872
Enrollment
400
Registered
2024-06-28
Start date
2024-07-01
Completion date
Unknown
Last updated
2025-11-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Antibiotic resistance Infections and Infestations

Interventions

Randomized comparison of artificial intelligence-clinical decision support system (AI-CDSS) use with standard antibiotic prescribing practices This randomized controlled trial compares two groups: on

Sponsors

Tri-Service General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Professional Status: Must be a licensed health professional authorized to prescribe antibiotics, including postgraduate year residents, residents, fellows, or attending physicians. 2. Clinical Experience: Must have a minimum of one year of clinical experience, ensuring familiarity with antibiotic prescribing practices. 3. Access to Technology: Must have regular access to the necessary technological infrastructure to use the AI-CDSS, including computers or tablets with internet connectivity. 4. Training Willingness: Must be willing to undergo a brief training session on the use of the AI-CDSS to ensure proper understanding and effective utilization of the system.

Exclusion criteria

Exclusion criteria: 1. Non-prescribing Roles: Health professionals who do not have the authority to prescribe medications, such as nurses without prescribing rights, medical interns, or medical students. 2. Inexperience in Prescribing: Health professionals with less than one year of clinical experience, ensuring all participants have adequate exposure to antibiotic prescribing practices.

Design outcomes

Primary

MeasureTime frame
Physician confidence in antibiotic prescribing will be rated by physicians for each case, measured using a questionnaire on days 3, 5, 7, and 14 after antibiotic treatment initiation

Secondary

MeasureTime frame
The following secondary outcome measures will be measured using a questionnaire on days 3, 5, 7, and 14 of antibiotic treatment initiated: 1. Satisfaction with the prescription process, including factors influencing satisfaction, decision-making efficiency (time required and ease of accessing necessary information), and reliance on technological tools for prescribing are all rated and reported by physicians 2. The effectiveness of antibiotic choices in mitigating public health concerns related to antibiotic resistance will be assessed by physicians

Countries

Taiwan

Contacts

Public ContactHung-Sheng Shang
iamkeith@mail.ndmctsgh.edu.tw+886 920713130

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026