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NOT YET RECRUITING
NCT07833293
NA

Effectiveness of AI-Assisted Antibiotic Prescribing

Sponsor: Lahore University of Management Sciences

View on ClinicalTrials.gov

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

OTHER

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