Data-Driven Modeling of Complex Business Process in Heterogeneous Environment of Healthcare Organization with Health Information Systems...18th International Conference on Wearable Micro and Nano Technologies for Personalized Health (virtual), November 8-10, 2021
Business process modeling aims to construct digital representations of processes being executed in the company. However, models derived from the event logs of their execution tend to overcomplicate the desired representation, making them difficult to apply. The most accurate recovery of the business...
| Publicado en: | Studies in Health Technology & Informatics Vol. 285; pp. 118 - 124 |
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| Autores principales: | , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=153525181&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153525181 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2021 vid: 285 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 153525181 153525181 153525181 10.3233/SHTI210583 153525181 ppf: 118 ppct: 6 formats: tig: atl: Data-Driven Modeling of Complex Business Process in Heterogeneous Environment of Healthcare Organization with Health Information Systems...18th International Conference on Wearable Micro and Nano Technologies for Personalized Health (virtual), November 8-10, 2021 aug: au: KSHENIN, Alexander KOVALCHUK, Sergey affil: ITMO University, St. Petersburg, Russia sug: subj: Health Information Systems Health Facility Administration Simulations Human Congresses and Conferences Funding Source Electronic Health Records Productivity Personnel Staffing and Scheduling ab: Business process modeling aims to construct digital representations of processes being executed in the company. However, models derived from the event logs of their execution tend to overcomplicate the desired representation, making them difficult to apply. The most accurate recovery of the business process model requires a comprehensive study of the various artifacts stored in the company's information system. This paper, however, aims to explore the possibility to automatically obtain the most accurate model of business process, using mutual optimization of models recovered from a set of event logs. Further, the obtained models are executed in multi-agent simulation model of company, and the resulting event logs are examined to determine patterns that are specific to distinct employees and those that generally characterize business process. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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