A Language Model-Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study.

ABSTRACT:

Background

Although history taking is fundamental for diagnosing medical conditions, teaching and providing feedback on the skill can be challenging due to resource constraints. Virtual simulated patients and web-based chatbots have thus emerged as educational tools, with recent advancements in artificial intelligence (AI) such as large language models (LLMs) enhancing their realism and potential to provide feedback.

Objective

In our study, we aimed to evaluate the effectiveness of a Generative Pretrained Transformer (GPT) 4 model to provide structured feedback on medical students' performance in history taking with a simulated patient.

Methods

We conducted a prospective study involving medical students performing history taking with a GPT-powered chatbot. To that end

SUBMITTER: Holderried F 

PROVIDER: S-EPMC11364946 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature