{"title":"Conceptualizing Resilience in Healthcare Systems Through Domain Modeling","authors":"Mie Wang;Junwei Wang;Hongfeng Wang","doi":"10.1109/TCSS.2024.3451519","DOIUrl":null,"url":null,"abstract":"The healthcare system is a complex organization designed to provide medical services, exhibiting heterogeneity due to economic, legal, and cultural differences. To effectively manage the resilience of healthcare systems, it is essential to model their working domains. Furthermore, healthcare systems at different levels have distinct structures and substance flow characteristics. In particular, at the departmental level, the substance flow is primarily patient-centric, while at the hospital level, it includes orders, bills, and report flows. Interhospital scenarios may involve case flows and healthcare personnel movements. Therefore, this article proposes a healthcare system domain modeling framework based on the function-context-behavior-principle-state-structure (FCBPSS) tool, outlining its application in three hierarchical healthcare system levels. Unlike FCBPSS applications in other systems engineering fields, this framework not only captures the system's semantics but also encompasses ethical rules and operational standards within the healthcare system, making it an ideal tool for healthcare system domain modeling. Finally, the model's effectiveness is validated through the optimization of a case study at Sheng-Jing Hospital in Shenyang.","PeriodicalId":13044,"journal":{"name":"IEEE Transactions on Computational Social Systems","volume":"12 1","pages":"113-127"},"PeriodicalIF":4.5000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computational Social Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10681318/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
The healthcare system is a complex organization designed to provide medical services, exhibiting heterogeneity due to economic, legal, and cultural differences. To effectively manage the resilience of healthcare systems, it is essential to model their working domains. Furthermore, healthcare systems at different levels have distinct structures and substance flow characteristics. In particular, at the departmental level, the substance flow is primarily patient-centric, while at the hospital level, it includes orders, bills, and report flows. Interhospital scenarios may involve case flows and healthcare personnel movements. Therefore, this article proposes a healthcare system domain modeling framework based on the function-context-behavior-principle-state-structure (FCBPSS) tool, outlining its application in three hierarchical healthcare system levels. Unlike FCBPSS applications in other systems engineering fields, this framework not only captures the system's semantics but also encompasses ethical rules and operational standards within the healthcare system, making it an ideal tool for healthcare system domain modeling. Finally, the model's effectiveness is validated through the optimization of a case study at Sheng-Jing Hospital in Shenyang.
期刊介绍:
IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.