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Song, Minseok
Business Process Intelligence(BPI) Lab
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  • Process mining

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Conformance analysis of clinical pathway using electronic health record data

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dc.contributor.author Yoo, Sooyoung ko
dc.contributor.author Cho, Minsu ko
dc.contributor.author Kim, Seok ko
dc.contributor.author Kim, Eunhye ko
dc.contributor.author Park, So Min ko
dc.contributor.author Kim, Kidong ko
dc.contributor.author Hwang, Hee ko
dc.contributor.author Song, Minseok ko
dc.date.available 2015-09-07T08:09:56Z -
dc.date.created 2015-09-07 ko
dc.date.issued 2015-07 ko
dc.identifier.citation HEALTHCARE INFORMATICS RESEARCH, v.21, no.3, pp.161 - 166 ko
dc.identifier.issn 2093-3681 ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/16697 -
dc.description.abstract Objectives: The objective of this study was to confirm the conformance rate of the actual usage of the clinical pathway (CP) using Electronic Health Record (EHR) log data in a tertiary general university hospital to improve the CP by reflecting realworld care processes. Methods: We analyzed the application and matching rates of clinicians’ orders with predefined CP order sets based on data from 164 inpatients who received appendectomies out of all patients who were hospitalized from August 2013 to June 2014. We collected EHR log data on patient information, medication orders, operation performed, diagnosis, transfer, and CP order sets. The data were statistically analyzed. Results: The average value of the actual application rate of the prescribed CP order ranged from 0.75 to 0.89. The application rate decreased when the order date was factored in along with the order code and type. Among CP pre-operation, intra-operation, post-operation, routine, and discharge orders, orders pertaining to operations had higher application rates than other types of orders. Routine orders and discharge orders had lower application rates. Conclusions: This analysis of the application and matching rates of CP orders suggests that it is possible to improve these rates by updating the existing CP order sets for routine discharge orders to reflect data-driven evidence. This study shows that it is possible to improve the application and matching rates of the CP using EHR log data. However, further research should be performed to analyze the effects of these rates on care outcomes. © 2015 The Korean Society of Medical Informatics ko
dc.description.statementofresponsibility open -
dc.language 영어 ko
dc.publisher The Korean Society Of Medical Informatics ko
dc.title Conformance analysis of clinical pathway using electronic health record data ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84938874314 ko
dc.type.rims ART ko
dc.description.wostc 0 *
dc.description.scopustc 0 *
dc.date.tcdate 2015-09-07 *
dc.date.scptcdate 2015-11-04 *
dc.date.scptcdate 2015-11-04 *
dc.identifier.doi 10.4258/hir.2015.21.3.161 ko
dc.identifier.url http://synapse.koreamed.org/DOIx.php?id=10.4258/hir.2015.21.3.161 ko
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