Systematic Review on Healthcare Systems Engineering utilizing ChatGPT
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866929348807753728 |
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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 |