Prompt-Maintained Knowledge Infrastructure: A Retrieval-Augmented AI Hub for Residency Program Operations
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Updated: Nov 2, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Elizabeth P Kwenda1, Brett D Friedman1, MacKenzie K Mainor1
1Department of Urology, University of Florida College of Medicine, Gainesville, FL.
Abstract:
Residency programs accumulate operational knowledge across scattered documents and the working memory of trainees and staff. We built a retrieval-augmented hub maintained through five reusable prompts, a model we refer to as prompt-maintained knowledge infrastructure (PMKI). In a single-program urology pilot (N = 18 residents), an anonymous retrospective pre-post survey found that self-reported first-line texting of co-residents or seniors decreased from 78% to 28% (P = 0.004); 61% selected the Hub. Perceived preparedness and efficiency improved (composite dz = 1.10, P = 0.0002). Findings support feasibility but cannot establish causality, answer accuracy, or long-term sustainability. A replication toolkit is included.
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