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Assessing clinical acuity in the Emergency Department using the GPT-3.5 Artificial Intelligence Model

2023-08-13

Abstract excerpt

This paper evaluates the performance of the Chat Generative Pre-trained Transformer (ChatGPT; GPT-3.5) in accurately identifying higher acuity patients in a real-world clinical context. Using a dataset of 10,000 pairs of patient Emergency Department (ED) visits with varying acuity levels, we demonstrate that GPT-3.5 can successfully determine the patient with higher acuity based on clinical history sections extrac...

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Identifiers and source

Literature Corpus work
7157b507-a894-5897-817c-37c1ae8400fb
DOI
10.1101/2023.08.09.23293795
Open publication

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Assessing clinical acuity in the Emergency Department using the GPT-3.5 Artificial Intelligence ModelDOI 10.1101/2023.08.09.23293795
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