Evaluating AI-Generated Geriatric Case Studies for Interprofessional Education: Systematic Analysis Across 5 Platforms.

ABSTRACT:

Background

Simulation-based learning (SBL) has become standard practice in educating health care professionals to apply their knowledge and skills in patient care. While SBL has demonstrated its value in education, many educators find the process of developing new, unique scenarios to be time-intensive, creating limits to the variety of issues students may experience within educational settings. Generative artificial intelligence (AI) platforms, such as ChatGPT (OpenAI), have emerged as a potential tool for developing simulation case studies more efficiently, though little is known about the performance of AI in generating high-quality case studies for interprofessional education.

Objective

This study aimed to generate geriatric case scenarios across 5 AI platforms by a tran

SUBMITTER: Ruggiano N 

PROVIDER: S-EPMC12905562 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature