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Effectiveness of AI-Assisted Antibiotic Prescribing
Sponsor: Lahore University of Management Sciences
Summary
This randomized controlled trial aims to evaluate the impact of providing LLM access to physicians on antibiotic prescribing appropriateness, using a composite outcome instrument, the Antibiotic Prescribing Appropriateness Score (APAS), that simultaneously evaluates antibiotic selection, dosing, duration, clinical reasoning, and management planning. Participants will be randomly assigned to one of two groups: the intervention group will have access to an LLM alongside conventional resources, while the control group will use conventional resources only (e.g. UpToDate, PubMed and Google Search with AI features disabled). Both groups will respond to a set of clinical vignettes covering common infectious disease scenarios requiring antibiotic prescribing decisions, with responses evaluated using an expert-validated grading rubric and independently scored by blinded raters.
Official title: Effectiveness of AI-Assisted Antibiotic Prescribing: A Randomized Controlled Trial
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
50
Start Date
2026-09
Completion Date
2026-12
Last Updated
2026-09-22
Healthy Volunteers
Yes
Conditions
Interventions
ChatGPT
Participants in the intervention arm will have access to ChatGPT in addition to conventional diagnostic and reference resources.
Locations (1)
Lahore University of Management Sciences
Lahore, Punjab Province, Pakistan