Process Mining–Based Method of Designing and Optimizing the Layouts of Emergency Departments in Hospitals.
Objective: This article proposes an approach to help designers analyze complex care processes and identify the optimal layout of an emergency department (ED) considering several objectives simultaneously. These objectives include minimizing the distances traveled by patients, maximizing design prefe...
| Published in: | Health Environments Research & Design Journal (HERD) (Sage Publications, Ltd.) Vol. 10; no. 4; pp. 105 - 121 |
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| Main Authors: | , |
| Format: | Journal Article |
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Sage Publications Inc.
Summer2017
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123782962&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123782962 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19375867 I6R1 jtl: Health Environments Research & Design Journal (HERD) (Sage Publications, Ltd.) issn: 19375867 maglogo: Y pubinfo: dt: Summer2017 vid: 10 iid: 4 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 123782962 10.1177/1937586716674471 123782962 ppf: 105 ppct: 16 formats: tig: atl: Process Mining–Based Method of Designing and Optimizing the Layouts of Emergency Departments in Hospitals. aug: au: Rismanchian, Farhood Lee, Young Hoon affil: Department of Information and Industrial Engineering, Yonsei University, Seoul, South Korea sug: ab: Objective: This article proposes an approach to help designers analyze complex care processes and identify the optimal layout of an emergency department (ED) considering several objectives simultaneously. These objectives include minimizing the distances traveled by patients, maximizing design preferences, and minimizing the relocation costs. Background: Rising demand for healthcare services leads to increasing demand for new hospital buildings as well as renovating existing ones. Operations management techniques have been successfully applied in both manufacturing and service industries to design more efficient layouts. However, high complexity of healthcare processes makes it challenging to apply these techniques in healthcare environments. Method: Process mining techniques were applied to address the problem of complexity and to enhance healthcare process analysis. Process-related information, such as information about the clinical pathways, was extracted from the information system of an ED. A goal programming approach was then employed to find a single layout that would simultaneously satisfy several objectives. Results: The layout identified using the proposed method improved the distances traveled by noncritical and critical patients by 42.2% and 47.6%, respectively, and minimized the relocation costs. Conclusion: This study has shown that an efficient placement of the clinical units yields remarkable improvements in the distances traveled by patients. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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