Automated Data Collection Tool for Real-World Cohort Studies of Chronic Hepatitis B Virus Infection: Leveraging AI and Large Language Model (LLM) Technologies for Improved Efficiency

Presentation Time: 08:45 AM - 09:00 AM

Abstract Keywords: Global Health, Large Language Models (LLMs), Interoperability and Health Information Exchange, Clinical Decision Support
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics

This study aimed to develop a patient screening and data collection tool based on AI-LLMs for real-world retrospective studies on chronic hepatitis B patients. The tool assisted researchers in quickly identifying patient information that met the study requirements from one hospital system from Southern China, while also assisting with processing unstructured EMR data. The introduction of AI-LLMs contributed to increased efficiency and accuracy to extract key information from a large amount of unstructured data.

Speaker(s):
Jaime Smith, PhD
Parexel International, LLC