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

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Conformance analysis of clinical pathway using electronic health record data

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Title
Conformance analysis of clinical pathway using electronic health record data
Author
Yoo, SooyoungCho, MinsuKim, SeokKim, EunhyePark, So MinKim, KidongHwang, HeeSong, Minseok
Keywords
Assessments process; Conformance; Critical pathways; Electronic health records; Matching rate
Issue Date
201507
Publisher
The Korean Society Of Medical Informatics
Citation
HEALTHCARE INFORMATICS RESEARCH, v.21, no.3, pp.161 - 166
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
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DOI
http://dx.doi.org/10.4258/hir.2015.21.3.161
ISSN
2093-3681
Appears in Collections:
SBA_Journal Papers
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