Related Researcher

Author's Photo

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


Conformance analysis of clinical pathway using electronic health record data

DC Field Value Language Yoo, Sooyoung ko Cho, Minsu ko Kim, Seok ko Kim, Eunhye ko Park, So Min ko Kim, Kidong ko Hwang, Hee ko Song, Minseok ko 2015-09-07T08:09:56Z - 2015-09-07 ko 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 -
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 * 2015-09-07 * 2015-11-04 * 2015-11-04 *
dc.identifier.doi 10.4258/hir.2015.21.3.161 ko
dc.identifier.url ko
Appears in Collections:
SBA_Journal Papers

find_unist can give you direct access to the published full text of this article. (UNISTARs only)

Show simple item record


  • mendeley


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.