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

Author:

Nestor Jordan G1ORCID,Fedotov Alexander2,Fasel David3,Marasa Maddalena13,Milo-Rasouly Hila13,Wynn Julia4,Chung Wendy K5,Gharavi Ali13,Hripcsak George6,Bakken Suzanne6,Sengupta Soumitra6,Weng Chunhua6

Affiliation:

1. Department of Medicine, Division of Nephrology, Columbia University, New York, New York, USA

2. The Irving Institute for Clinical and Translational Research, Columbia University, New York, New York, USA

3. Department of Medicine, Center for Precision Medicine and Genomics, Columbia University, New York, New York, USA

4. Department of Pediatrics, Columbia University, New York, New York, USA

5. Departments of Pediatric and Medicine, Columbia University, New York, New York, USA

6. Department of Biomedical Informatics, Columbia University, New York, New York, USA

Abstract

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.

Funder

National Institutes of Health

National Kidney Foundation’s Young Investigator Award

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Reference34 articles.

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