Variance analysis in task-time matrix clinical pathways

H. Yan, P. van Gorp, U. Kaymak, L. Ji, X. Lu, C.C. Chiau, H.H.M. Korsten, H. Duan

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

Clinical pathways are popular healthcare management tools to standardise care and ensure quality. Measuring pathway conformance and analysing variances gives valuable feedback in the context of care improvement trajectories. The Business Process Model and Notation (BPMN) language and Task-Time matrices are popular ways to model clinical pathways. A key step in variance analysis involves the computation of optimal alignments between the pathway model and patient-specific traces. This paper presents for this step a new algorithm which reduces the time for finding deviations from hours to minutes. A case study on variance analysis is undertaken, where a clinical pathway from the practice and a large set of patients data from an EMR database are used. The results demonstrate that automated variance analysis between BPMN Task-Time models and real-life EMR data is feasible. We also provide meaningful insights for further improvement.

Original languageEnglish
Title of host publication2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017, 16-19 February 2017, Orlando, Florida
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages253-256
Number of pages4
ISBN (Electronic)978-1-5090-4179-4
ISBN (Print)978-1-5090-4180-0
DOIs
Publication statusPublished - 11 Apr 2017
EventInternational Conference on Biomedical and Health Informatics (BHI 2017), 16-19 February 2017, Orlando, Florida: Integrative Informatics for Precision and Preventive Medicine - Orlando, United States
Duration: 17 Feb 201719 Feb 2017
Conference number: 2017
http://bhi.embs.org/2017/

Conference

ConferenceInternational Conference on Biomedical and Health Informatics (BHI 2017), 16-19 February 2017, Orlando, Florida
Abbreviated titleBHI 2017
CountryUnited States
CityOrlando
Period17/02/1719/02/17
Internet address

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  • Cite this

    Yan, H., van Gorp, P., Kaymak, U., Ji, L., Lu, X., Chiau, C. C., Korsten, H. H. M., & Duan, H. (2017). Variance analysis in task-time matrix clinical pathways. In 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017, 16-19 February 2017, Orlando, Florida (pp. 253-256). [7897253] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BHI.2017.7897253