Using Large Language Models to Retrieve Critical Data from Clinical Processes and Business Rules

Using Large Language Models to Retrieve Critical Data from Clinical Processes and Business Rules

Current clinical care relies heavily on complex, rule-based systems for tasks like diagnosis and treatment. However, these systems can be cumbersome and require constant updates. This study explores the potential of the large language model (LLM), LLaMA 2, to address these limitations. We tested LLa...

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Bibliographic Details
Main Authors: Yunguo Yu, Cesar A. Gomez-Cabello, Svetlana Makarova, Yogesh Parte, Sahar Borna, Syed Ali Haider, Ariana Genovese, Srinivasagam Prabha, Antonio J. Forte
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Bioengineering
Subjects:
diagnostics
clinical decision support
Artificial Intelligence
large language models
data retrieval
Online Access:https://www.mdpi.com/2306-5354/12/1/17
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