Multi-perspective process mining for emergency process.
Background: Multi-perspective process mining is an analytical approach that uses data to gain objective insights and uncover hidden problems in business processes from multiple perspectives. Objective: In this paper, we apply multi-perspective process mining techniques in the emergency process throu...
| Publicado en: | Health Informatics Journal Vol. 28; no. 1; pp. 1 - 19 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Sage Publications Inc.
Jan-Mar2022
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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=191301669&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191301669 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14604582 EJK jtl: Health Informatics Journal issn: 14604582 maglogo: Y pubinfo: dt: Jan-Mar2022 vid: 28 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 191301669 10.1177/14604582221077195 191301669 ppf: 1 ppct: 18 formats: tig: atl: Multi-perspective process mining for emergency process. aug: au: Erdogan, Tugba Gurgen Tarhan, Ayca Kolukisa affil: Computer Engineering Department, Hacettepe University, Ankara, Turkey sug: ab: Background: Multi-perspective process mining is an analytical approach that uses data to gain objective insights and uncover hidden problems in business processes from multiple perspectives. Objective: In this paper, we apply multi-perspective process mining techniques in the emergency process through a goal-driven performance evaluation method in order to understand and diagnose the timeliness of the emergency process. Methods: Unstructured and multi-disciplinary emergency data is analyzed by following Goal-Question-Feature-Indicator (GQFI) method. In this paper, the GQFI method is extended with perspectives, and the insights in the enriched event data are examined by a decision tree model. All of them are applied in a systematic way in relation to the goal of assessing and improving the emergency process in a university hospital. Results: We detected the deviations (e.g., skipping the triage and consultation request steps) and two bottlenecks in the emergency process. Among the suggestions for improving the process, are performing defensive medicine in a harmless manner, classification of the emergency services, ensuring triage step is applied to all patients and effective usage of the call system application in consultation activities. Conclusion: The results of this study showed that goal-oriented multi-perspective process mining is effective in identifying process improvements in emergency services. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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