Literature DB >> 33709066

An electronic health record (EHR) log analysis shows limited clinician engagement with unsolicited genetic test results.

Jordan G Nestor1, Alexander Fedotov2, David Fasel3, Maddalena Marasa1,3, Hila Milo-Rasouly1,3, Julia Wynn4, Wendy K Chung5, Ali Gharavi1,3, George Hripcsak6, Suzanne Bakken6, Soumitra Sengupta6, Chunhua Weng6.   

Abstract

How clinicians utilize medically actionable genomic information, displayed in the electronic health record (EHR), in medical decision-making remains unknown. Participating sites of the Electronic Medical Records and Genomics (eMERGE) Network have invested resources into EHR integration efforts to enable the display of genetic testing data across heterogeneous EHR systems. To assess clinicians' engagement with unsolicited EHR-integrated genetic test results of eMERGE participants within a large tertiary care academic medical center, we analyzed automatically generated EHR access log data. We found that clinicians viewed only 1% of all the eMERGE genetic test results integrated in the EHR. Using a cluster analysis, we also identified different user traits associated with varying degrees of engagement with the EHR-integrated genomic data. These data contribute important empirical knowledge about clinicians limited and brief engagements with unsolicited EHR-integrated genetic test results of eMERGE participants. Appreciation for user-specific roles provide additional context for why certain users were more or less engaged with the unsolicited results. This study highlights opportunities to use EHR log data as a performance metric to more precisely inform ongoing EHR-integration efforts and decisions about the allocation of informatics resources in genomic research.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Entities:  

Keywords:  clinical engagement with genomic results; electronic health records; log analysis

Year:  2021        PMID: 33709066      PMCID: PMC7935499          DOI: 10.1093/jamiaopen/ooab014

Source DB:  PubMed          Journal:  JAMIA Open        ISSN: 2574-2531


  29 in total

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6.  Clinical Sequencing Exploratory Research Consortium: Accelerating Evidence-Based Practice of Genomic Medicine.

Authors:  Robert C Green; Katrina A B Goddard; Gail P Jarvik; Laura M Amendola; Paul S Appelbaum; Jonathan S Berg; Barbara A Bernhardt; Leslie G Biesecker; Sawona Biswas; Carrie L Blout; Kevin M Bowling; Kyle B Brothers; Wylie Burke; Charlisse F Caga-Anan; Arul M Chinnaiyan; Wendy K Chung; Ellen W Clayton; Gregory M Cooper; Kelly East; James P Evans; Stephanie M Fullerton; Levi A Garraway; Jeremy R Garrett; Stacy W Gray; Gail E Henderson; Lucia A Hindorff; Ingrid A Holm; Michelle Huckaby Lewis; Carolyn M Hutter; Pasi A Janne; Steven Joffe; David Kaufman; Bartha M Knoppers; Barbara A Koenig; Ian D Krantz; Teri A Manolio; Laurence McCullough; Jean McEwen; Amy McGuire; Donna Muzny; Richard M Myers; Deborah A Nickerson; Jeffrey Ou; Donald W Parsons; Gloria M Petersen; Sharon E Plon; Heidi L Rehm; J Scott Roberts; Dan Robinson; Joseph S Salama; Sarah Scollon; Richard R Sharp; Brian Shirts; Nancy B Spinner; Holly K Tabor; Peter Tarczy-Hornoch; David L Veenstra; Nikhil Wagle; Karen Weck; Benjamin S Wilfond; Kirk Wilhelmsen; Susan M Wolf; Julia Wynn; Joon-Ho Yu
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9.  Use of Electronic Health Record Access and Audit Logs to Identify Physician Actions Following Noninterruptive Alert Opening: Descriptive Study.

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10.  Genomic Information for Clinicians in the Electronic Health Record: Lessons Learned From the Clinical Genome Resource Project and the Electronic Medical Records and Genomics Network.

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Journal:  Front Genet       Date:  2019-10-29       Impact factor: 4.599

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