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Towards a Comparative Assessment of Data-Driven Process Models in Health Information Technology

Publication Type
Conference Paper
Book Title
2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)
Publication Date
Page Numbers
338 to 343
Publisher Location
New Jersey, United States of America
Conference Name
IEEE ICHI 2023: International Conference on Healthcare Informatics
Conference Location
Houston, Texas, United States of America
Conference Sponsor
Veterans Affairs Administration
Conference Date

Process mining for conformance analysis focuses on comparing a reference process model against a data-driven process model that is generated via log files from information technology systems. While this approach is helpful when there is an existing process model in an organization, it leaves the question of what to do in the absence of a complete reference process model unanswered. In this paper, we present a comparative assessment approach that combines process mining, process mapping for dimensionality reduction, and statistical analysis. Our goal is to find similarities and dissimilarities in data-driven process models among U.S. Veterans Health Administration (VHA) facilities to assess process conformance among different healthcare facilities, which can help assess the standardization of care. We illustrate our approach by applying it to two clinical radiology order process models generated by two similar facilities. Our results demonstrate statistical similarities in the standardization of care among those two facilities.