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

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 en...

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Autores principales: Nestor, Jordan G, Fedotov, Alexander, Fasel, David, Marasa, Maddalena, Milo-Rasouly, Hila, Wynn, Julia, Chung, Wendy K, Gharavi, Ali, Hripcsak, George, Bakken, Suzanne, Sengupta, Soumitra, Weng, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935499/
https://www.ncbi.nlm.nih.gov/pubmed/33709066
http://dx.doi.org/10.1093/jamiaopen/ooab014
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author Nestor, Jordan G
Fedotov, Alexander
Fasel, David
Marasa, Maddalena
Milo-Rasouly, Hila
Wynn, Julia
Chung, Wendy K
Gharavi, Ali
Hripcsak, George
Bakken, Suzanne
Sengupta, Soumitra
Weng, Chunhua
author_facet Nestor, Jordan G
Fedotov, Alexander
Fasel, David
Marasa, Maddalena
Milo-Rasouly, Hila
Wynn, Julia
Chung, Wendy K
Gharavi, Ali
Hripcsak, George
Bakken, Suzanne
Sengupta, Soumitra
Weng, Chunhua
author_sort Nestor, Jordan G
collection PubMed
description 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.
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spelling pubmed-79354992021-03-10 An electronic health record (EHR) log analysis shows limited clinician engagement with unsolicited genetic test results Nestor, Jordan G Fedotov, Alexander Fasel, David Marasa, Maddalena Milo-Rasouly, Hila Wynn, Julia Chung, Wendy K Gharavi, Ali Hripcsak, George Bakken, Suzanne Sengupta, Soumitra Weng, Chunhua JAMIA Open Case Report 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. Oxford University Press 2021-03-01 /pmc/articles/PMC7935499/ /pubmed/33709066 http://dx.doi.org/10.1093/jamiaopen/ooab014 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Case Report
Nestor, Jordan G
Fedotov, Alexander
Fasel, David
Marasa, Maddalena
Milo-Rasouly, Hila
Wynn, Julia
Chung, Wendy K
Gharavi, Ali
Hripcsak, George
Bakken, Suzanne
Sengupta, Soumitra
Weng, Chunhua
An electronic health record (EHR) log analysis shows limited clinician engagement with unsolicited genetic test results
title An electronic health record (EHR) log analysis shows limited clinician engagement with unsolicited genetic test results
title_full An electronic health record (EHR) log analysis shows limited clinician engagement with unsolicited genetic test results
title_fullStr An electronic health record (EHR) log analysis shows limited clinician engagement with unsolicited genetic test results
title_full_unstemmed An electronic health record (EHR) log analysis shows limited clinician engagement with unsolicited genetic test results
title_short An electronic health record (EHR) log analysis shows limited clinician engagement with unsolicited genetic test results
title_sort electronic health record (ehr) log analysis shows limited clinician engagement with unsolicited genetic test results
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935499/
https://www.ncbi.nlm.nih.gov/pubmed/33709066
http://dx.doi.org/10.1093/jamiaopen/ooab014
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