%0 Journal Article
%T Integrating Process Mining and Cognitive Analysis to Study EHR Workflow
%A Adela Grando
%A David R. Kaufman
%A David W. Larson
%A Matthew M. Burton
%A Stephanie K. Furniss
%J Archive of "AMIA Annual Symposium Proceedings".
%D 2016
%X 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 cliniciansĄŻ EHR workflow by integrating quantitative analysis of patterns of usersĄŻ EHR-interactions with in-depth qualitative analysis of user performance. We characterized 6 cliniciansĄŻ 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 participantsĄŻ 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
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333235/