Systematic Review on Healthcare Systems Engineering utilizing ChatGPT

Fuente: arXiv
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Autori principali: Kim, Jungwoo, Lee, Ji-Su, Kim, Huijae, Lee, Taesik
Natura: Preprint
Pubblicazione: 2024
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author Kim, Jungwoo
Lee, Ji-Su
Kim, Huijae
Lee, Taesik
author_facet Kim, Jungwoo
Lee, Ji-Su
Kim, Huijae
Lee, Taesik
contents This paper presents an analytical framework for conducting academic reviews in the field of Healthcare Systems Engineering, employing ChatGPT, a state-of-the-art tool among recent language models. We utilized 9,809 abstract paragraphs from conference presentations to systematically review the field. The framework comprises distinct analytical processes, each employing tailored prompts and the systematic use of the ChatGPT API. Through this framework, we organized the target field into 11 topic categories and conducted a comprehensive analysis covering quantitative yearly trends and detailed sub-categories. This effort explores the potential for leveraging ChatGPT to alleviate the burden of academic reviews. Furthermore, it provides valuable insights into the dynamic landscape of Healthcare Systems Engineering research.
format Preprint
id arxiv_https___arxiv_org_abs_2405_11817
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Systematic Review on Healthcare Systems Engineering utilizing ChatGPT
Kim, Jungwoo
Lee, Ji-Su
Kim, Huijae
Lee, Taesik
Emerging Technologies
Computation and Language
This paper presents an analytical framework for conducting academic reviews in the field of Healthcare Systems Engineering, employing ChatGPT, a state-of-the-art tool among recent language models. We utilized 9,809 abstract paragraphs from conference presentations to systematically review the field. The framework comprises distinct analytical processes, each employing tailored prompts and the systematic use of the ChatGPT API. Through this framework, we organized the target field into 11 topic categories and conducted a comprehensive analysis covering quantitative yearly trends and detailed sub-categories. This effort explores the potential for leveraging ChatGPT to alleviate the burden of academic reviews. Furthermore, it provides valuable insights into the dynamic landscape of Healthcare Systems Engineering research.
title Systematic Review on Healthcare Systems Engineering utilizing ChatGPT
topic Emerging Technologies
Computation and Language
url https://arxiv.org/abs/2405.11817