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已发表论文
关于利用地理信息系统开发医院暴力风险事件预警模型的思考
Received 23 September 2025
Accepted for publication 29 December 2025
Published 10 January 2026 Volume 2026:19 569538
DOI https://doi.org/10.2147/JMDH.S569538
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Linda Yoder
Guochen Chen, Chunlei Li
School of Criminology, People’s Public Security University of China, Beijing, People’s Republic of China
Correspondence: Chunlei Li, School of Criminology, People’s Public Security University of China, No. 1 Muxidi Nanli, Xicheng District, Beijing, 100038, People’s Republic of China, Email 20050892@ppsuc.edu.cn
Abstract: The risk of violence faced by healthcare workers is a widespread challenge in the global healthcare industry. This article examines the feasibility and practical value of developing a spatial prediction and early warning model for hospital violent injury incidents using Geographic Information System(GIS) technology. By integrating multi-source spatiotemporal data and employing spatiotemporal analysis, machine learning, and spatial interpolation methods, the model can identify hotspots and predict the risk of violent events at a micro scale, shifting from passive response to proactive prevention and control. This study not only offers a novel approach for the refined and scientific management of hospital safety but also provides valuable insights for the development of smart hospitals, the application of artificial intelligence, and interdisciplinary integration. Although challenges remain in data integration, privacy protection, and model generalization, advancements in technology and management optimization are expected to establish this technology as a core tool for security prevention and control in smart hospitals. This study is a preliminary exploration in this field.
Keywords: violence against healthcare workers, geographic information system, hospital safety protection, risk warning model
School of Criminology, People’s Public Security University of China, Beijing, People’s Republic of China
Correspondence: Chunlei Li, School of Criminology, People’s Public Security University of China, No. 1 Muxidi Nanli, Xicheng District, Beijing, 100038, People’s Republic of China, Email 20050892@ppsuc.edu.cn
Abstract: The risk of violence faced by healthcare workers is a widespread challenge in the global healthcare industry. This article examines the feasibility and practical value of developing a spatial prediction and early warning model for hospital violent injury incidents using Geographic Information System(GIS) technology. By integrating multi-source spatiotemporal data and employing spatiotemporal analysis, machine learning, and spatial interpolation methods, the model can identify hotspots and predict the risk of violent events at a micro scale, shifting from passive response to proactive prevention and control. This study not only offers a novel approach for the refined and scientific management of hospital safety but also provides valuable insights for the development of smart hospitals, the application of artificial intelligence, and interdisciplinary integration. Although challenges remain in data integration, privacy protection, and model generalization, advancements in technology and management optimization are expected to establish this technology as a core tool for security prevention and control in smart hospitals. This study is a preliminary exploration in this field.
Keywords: violence against healthcare workers, geographic information system, hospital safety protection, risk warning model