Integrating Process Mining and Cognitive Analysis to Study EHR Workflow

Stephanie K. Furniss, Matthew M. Burton, Adela Grando, David Larson, David R. Kaufman

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

There are numerous methods to study workflow. However, few produce the kinds of in-depth analyses needed to understand EHR-mediated workflow. Here we investigated variations in clinicians' EHR workflow by integrating quantitative analysis of patterns of users' EHR-interactions with in-depth qualitative analysis of user performance. We characterized 6 clinicians' patterns of information-gathering using a sequential process-mining approach. The analysis revealed 519 different screen transition patterns performed across 1569 patient cases. No one pattern was followed for more than 10% of patient cases, the 15 most frequent patterns accounted for over half ofpatient cases (53%), and 27% of cases exhibited unique patterns. By triangulating quantitative and qualitative analyses, we found that participants' EHR-interactive behavior was associated with their routine processes, patient case complexity, and EHR default settings. The proposed approach has significant potential to inform resource allocation for observation and training. In-depth observations helped us to explain variation across users.

Original languageEnglish (US)
Pages (from-to)580-589
Number of pages10
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
Volume2016
StatePublished - 2016

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Workflow
Resource Allocation
Observation

ASJC Scopus subject areas

  • Medicine(all)

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Integrating Process Mining and Cognitive Analysis to Study EHR Workflow. / Furniss, Stephanie K.; Burton, Matthew M.; Grando, Adela; Larson, David; Kaufman, David R.

In: AMIA ... Annual Symposium proceedings. AMIA Symposium, Vol. 2016, 2016, p. 580-589.

Research output: Contribution to journalArticle

Furniss, Stephanie K. ; Burton, Matthew M. ; Grando, Adela ; Larson, David ; Kaufman, David R. / Integrating Process Mining and Cognitive Analysis to Study EHR Workflow. In: AMIA ... Annual Symposium proceedings. AMIA Symposium. 2016 ; Vol. 2016. pp. 580-589.
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