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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-7935499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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