Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work

Volume: 101, Pages: 103312 - 103312
Published: Jan 1, 2020
Abstract
• Can we process the EHR audit log file to derive primary care provider (PCP) level workflow measures? • Using the PARAFAC2 model, we identified 4 clusters of audit log records that represent 4 common clinical encounter tasks. • PARAFAC2 also discovered variation in how the notes’ access task was done. • The discovered variants mapped to two known workflows for notes’ access and to two distinct PCP user groups. Activity or audit log data are...
Paper Details
Title
Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work
Published Date
Jan 1, 2020
Volume
101
Pages
103312 - 103312
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