Development of a Support System to Improve the Ability to Analyze Incident Reports in Hospitals Using Generative AI
Open Access
Article
Conference Proceedings
Authors: Yuriko Imura, Yusaku Okada
Abstract: A major issue in the analysis of in-hospital incidents is the lack of skill and experience of the analyst. When an analyst with little experience analyzes an incident, they tend to only extract superficial characteristics and list only ineffective measures such as minor work improvements and thorough confirmation. To solve this issue, it is essential to educate the analyst. However, the higher the safety of the organization, the less experience employees have with accidents and serious incidents. Compensating for this experience with only regular education and virtual experiences is too laborious and takes a lot of time for the analyst to grow. Therefore, in this study, we examined strategies to enhance the awareness of analysts through the routine analysis of incident reports in medical settings. Specifically, this involves the development of the Medical Risk-Managers' Awareness Enhancement System in Medical Incident Analysis.
Keywords: Medical Incident Analysis, Healthcare Safety, Medical Risk Manager
DOI: 10.54941/ahfe1005796
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