Systematic Review on Healthcare Systems Engineering utilizing ChatGPT
This work addresses the burden of academic reviews for researchers in Healthcare Systems Engineering, but it is incremental as it applies an existing tool to a specific domain.
The paper tackled the problem of conducting academic reviews in Healthcare Systems Engineering by developing an analytical framework using ChatGPT, which organized 9,809 abstract paragraphs into 11 topic categories and analyzed yearly trends and sub-categories.
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.