Proposal Summary/Abstract:
One-to-one tutoring is considered among the most effective interventions to improve learner performance and knowledge retention; however, individualized tutoring is limited by lack of skilled human tutors. Computerized tutoring programs have shown promise in achieving similar outcomes to human tutoring while increasing availability. Until recently, however, such programs have required significant time and technical expertise to program.
Project Outline
1. PROPOSAL SUMMARY/ABSTRACT - based upon your original concept description
1. PROPOSAL SUMMARY/ABSTRACT
The ARISE proposal aims to address the risk of “de-skilling” among medical trainees due to the increasing reliance on quick answers from AI and large language models (LLMs) by developing an AI tool to enhance the learning of clinical reasoning – a skill we believe will be even more important in the age of AI. We propose a chatbot designed to function as an expert Socratic tutor, providing real-time feedback to medical students as they work through clinical cases. By leveraging Retrieval-Augmented Generation (RAG) to enhance an existing LLM, the chatbot will be trained with deidentified clinical cases from reputable medical journals to emulate expert teaching of clinical reasoning. The tool will be integrated within Versa so that students can study independently. Efficacy will be evaluated during the UCSF Diagnostic Reasoning Block using a mix of observations, surveys, chatbot usage analytics, and formative feedback. Successful implementation could significantly enhance clinical reasoning education and lead to broader adoption within medical training and across peer institutions like the other UC systems.
1. PROPOSAL SUMMARY/ABSTRACT - based upon your original concept description
Addressing novel health challenges among adolescents and young adults (AYA) requires innovative approaches that authentically engage youth in the research process. In 2022, we launched the Youth Research Advisory Council (YRAC) in partnership with YMCA-SF to elevate AYA voice from the community aged 15–25 to contribute at every stage of research, from defining priorities to disseminating findings.
PROPOSAL SUMMARY/ABSTRACT: