Combining Process Mining and Process Simulation in Healthcare: A Literature Review

被引:0
|
作者
Salas, Evelyn [1 ]
Arias, Michael [2 ]
Aguirre, Santiago [3 ]
Rojas, Eric [4 ,5 ]
机构
[1] Univ Costa Rica, Sch Ind Engn, San Jose 1114250, Costa Rica
[2] Univ Costa Rica, Dept Engn Comp Sci & Technol, San Jose 1114250, Costa Rica
[3] Cent Michigan Univ, Business Informat Syst Dept, Mt Pleasant, MI 48859 USA
[4] Pontificia Univ Catolica Chile, Inst Biol & Med Engn, Santiago 8320165, Chile
[5] Pontificia Univ Catolica Chile, Sch Med, Dept Clin Labs, Santiago 8320165, Chile
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Process mining; Medical services; Bibliographies; COVID-19; Internet; Organizations; Object recognition; Software tools; Protocols; Optimization; process simulation; healthcare; process analysis; clinical processes; organizational processes; business process management; IMPACT;
D O I
10.1109/ACCESS.2024.3501157
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Organizations are increasingly incorporating new strategies to ensure that the complex processes involved in the healthcare sector are comprehensively understood and enhanced. This includes the adoption of process mining (PM) and process simulation (PS), which have been used separately or in combination with one another in the healthcare field to assist decision-makers in process optimization. Although both PM and PS have provided a number of valuable contributions to healthcare, analysis in existing literature is lacking regarding analysis of the benefits, limitations, and tools derived from their combination thereof. The present article conducts a literature review, based on the PRISMA methodology, in which both disciplines are analyzed in terms of their application to healthcare. By reviewing distinct scholarly databases, 31 research studies were selected for analysis, from which it was possible to characterize case studies, techniques, tools, perspectives and algorithms, as well as to identify key limitations. The results indicate a stronger focus on medical fields including cardiology and emergency departments, with a preference for software tools, such as ProM, Disco, Arena, and CPN Tools. The use of real data predominates across the research studies, and the two most commonly identified and detailed limitations in the analysis relate to data quality issues and the involvement of healthcare experts throughout the analysis. Moreover, there is an increasing interest in the publications of papers on these topics within Latin America. Finally, through the findings of the present article have led the authors to propose several opportunities for future research. For example, the compilation of case studies in relation to medical fields that have been historically overlooked, and the availability of software that integrates PM and PS, in addition to the extent to which the usefulness of this combination may improve as a result in the field of healthcare.
引用
收藏
页码:172562 / 172580
页数:19
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