Automated HEART score determination via ChatGPT: Honing a framework for iterative prompt development
Abstract Objectives This study presents a design framework to enhance the accuracy by which large language models (LLMs), like ChatGPT can extract insights from clinical notes. We highlight this framework via prompt refinement for the automated determination of HEART (History, ECG, Age, Risk factors...
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| Main Authors: | Conrad W. Safranek, Thomas Huang, Donald S. Wright, Catherine X. Wright, Vimig Socrates, Rohit B. Sangal, Mark Iscoe, David Chartash, R. Andrew Taylor |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-04-01
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| Series: | Journal of the American College of Emergency Physicians Open |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/emp2.13133 |
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