Assessment of hospital processes using a process mining technique: Outpatient process analysis at a tertiary hospital.
Introduction: Many hospitals are increasing their efforts to improve processes because processes play an important role in enhancing work efficiency and reducing costs. However, to date, a quantitative tool has not been available to examine the before and after effects of processes and environmental...
| Publicado en: | International Journal of Medical Informatics Vol. 88; pp. 34 - 44 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Apr2016
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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=112977784&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 112977784 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13865056 JR4 jtl: International Journal of Medical Informatics issn: 13865056 maglogo: N pubinfo: dt: Apr2016 vid: 88 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 112977784 112977784 NLM26878760 112977784 10.1016/j.ijmedinf.2015.12.018 NLM26878760 112977784 ppf: 34 ppct: 10 formats: tig: atl: Assessment of hospital processes using a process mining technique: Outpatient process analysis at a tertiary hospital. aug: au: Yoo, Sooyoung Cho, Minsu Kim, Eunhye Kim, Seok Sim, Yerim Yoo, Donghyun Hwang, Hee Song, Minseok affil: Center for Medical Informatics, Seoul National University Bundang Hospital, South Korea sug: subj: Referral and Consultation Standards Hospital Information Systems Standards Ambulatory Care Standards Hospitals, Special Hospital Design and Construction Standards Data Mining Methods Time Factors Human ab: Introduction: Many hospitals are increasing their efforts to improve processes because processes play an important role in enhancing work efficiency and reducing costs. However, to date, a quantitative tool has not been available to examine the before and after effects of processes and environmental changes, other than the use of indirect indicators, such as mortality rate and readmission rate.Methods: This study used process mining technology to analyze process changes based on changes in the hospital environment, such as the construction of a new building, and to measure the effects of environmental changes in terms of consultation wait time, time spent per task, and outpatient care processes. Using process mining technology, electronic health record (EHR) log data of outpatient care before and after constructing a new building were analyzed, and the effectiveness of the technology in terms of the process was evaluated.Results: Using the process mining technique, we found that the total time spent in outpatient care did not increase significantly compared to that before the construction of a new building, considering that the number of outpatients increased, and the consultation wait time decreased. These results suggest that the operation of the outpatient clinic was effective after changes were implemented in the hospital environment. We further identified improvements in processes using the process mining technique, thereby demonstrating the usefulness of this technique for analyzing complex hospital processes at a low cost.Conclusion: This study confirmed the effectiveness of process mining technology at an actual hospital site. In future studies, the use of process mining technology will be expanded by applying this approach to a larger variety of process change situations. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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