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Variation in high-priority drug-drug interaction alerts across institutions and electronic health records
Objective: The United States Office of the National Coordinator for Health Information Technology sponsored the development of a “high-priority” list of drug-drug interactions (DDIs) to be used for clinical decision support. We assessed current adoption of this list and current alerting practice for...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5391726/ https://www.ncbi.nlm.nih.gov/pubmed/27570216 http://dx.doi.org/10.1093/jamia/ocw114 |
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author | McEvoy, Dustin S Sittig, Dean F Hickman, Thu-Trang Aaron, Skye Ai, Angela Amato, Mary Bauer, David W Fraser, Gregory M Harper, Jeremy Kennemer, Angela Krall, Michael A Lehmann, Christoph U Malhotra, Sameer Murphy, Daniel R O’Kelley, Brandi Samal, Lipika Schreiber, Richard Singh, Hardeep Thomas, Eric J Vartian, Carl V Westmorland, Jennifer McCoy, Allison B Wright, Adam |
author_facet | McEvoy, Dustin S Sittig, Dean F Hickman, Thu-Trang Aaron, Skye Ai, Angela Amato, Mary Bauer, David W Fraser, Gregory M Harper, Jeremy Kennemer, Angela Krall, Michael A Lehmann, Christoph U Malhotra, Sameer Murphy, Daniel R O’Kelley, Brandi Samal, Lipika Schreiber, Richard Singh, Hardeep Thomas, Eric J Vartian, Carl V Westmorland, Jennifer McCoy, Allison B Wright, Adam |
author_sort | McEvoy, Dustin S |
collection | PubMed |
description | Objective: The United States Office of the National Coordinator for Health Information Technology sponsored the development of a “high-priority” list of drug-drug interactions (DDIs) to be used for clinical decision support. We assessed current adoption of this list and current alerting practice for these DDIs with regard to alert implementation (presence or absence of an alert) and display (alert appearance as interruptive or passive). Materials and methods: We conducted evaluations of electronic health records (EHRs) at a convenience sample of health care organizations across the United States using a standardized testing protocol with simulated orders. Results: Evaluations of 19 systems were conducted at 13 sites using 14 different EHRs. Across systems, 69% of the high-priority DDI pairs produced alerts. Implementation and display of the DDI alerts tested varied between systems, even when the same EHR vendor was used. Across the drug pairs evaluated, implementation and display of DDI alerts differed, ranging from 27% (4/15) to 93% (14/15) implementation. Discussion: Currently, there is no standard of care covering which DDI alerts to implement or how to display them to providers. Opportunities to improve DDI alerting include using differential displays based on DDI severity, establishing improved lists of clinically significant DDIs, and thoroughly reviewing organizational implementation decisions regarding DDIs. Conclusion: DDI alerting is clinically important but not standardized. There is significant room for improvement and standardization around evidence-based DDIs. |
format | Online Article Text |
id | pubmed-5391726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-53917262017-04-21 Variation in high-priority drug-drug interaction alerts across institutions and electronic health records McEvoy, Dustin S Sittig, Dean F Hickman, Thu-Trang Aaron, Skye Ai, Angela Amato, Mary Bauer, David W Fraser, Gregory M Harper, Jeremy Kennemer, Angela Krall, Michael A Lehmann, Christoph U Malhotra, Sameer Murphy, Daniel R O’Kelley, Brandi Samal, Lipika Schreiber, Richard Singh, Hardeep Thomas, Eric J Vartian, Carl V Westmorland, Jennifer McCoy, Allison B Wright, Adam J Am Med Inform Assoc Research and Applications Objective: The United States Office of the National Coordinator for Health Information Technology sponsored the development of a “high-priority” list of drug-drug interactions (DDIs) to be used for clinical decision support. We assessed current adoption of this list and current alerting practice for these DDIs with regard to alert implementation (presence or absence of an alert) and display (alert appearance as interruptive or passive). Materials and methods: We conducted evaluations of electronic health records (EHRs) at a convenience sample of health care organizations across the United States using a standardized testing protocol with simulated orders. Results: Evaluations of 19 systems were conducted at 13 sites using 14 different EHRs. Across systems, 69% of the high-priority DDI pairs produced alerts. Implementation and display of the DDI alerts tested varied between systems, even when the same EHR vendor was used. Across the drug pairs evaluated, implementation and display of DDI alerts differed, ranging from 27% (4/15) to 93% (14/15) implementation. Discussion: Currently, there is no standard of care covering which DDI alerts to implement or how to display them to providers. Opportunities to improve DDI alerting include using differential displays based on DDI severity, establishing improved lists of clinically significant DDIs, and thoroughly reviewing organizational implementation decisions regarding DDIs. Conclusion: DDI alerting is clinically important but not standardized. There is significant room for improvement and standardization around evidence-based DDIs. Oxford University Press 2017-03 2016-08-28 /pmc/articles/PMC5391726/ /pubmed/27570216 http://dx.doi.org/10.1093/jamia/ocw114 Text en © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research and Applications McEvoy, Dustin S Sittig, Dean F Hickman, Thu-Trang Aaron, Skye Ai, Angela Amato, Mary Bauer, David W Fraser, Gregory M Harper, Jeremy Kennemer, Angela Krall, Michael A Lehmann, Christoph U Malhotra, Sameer Murphy, Daniel R O’Kelley, Brandi Samal, Lipika Schreiber, Richard Singh, Hardeep Thomas, Eric J Vartian, Carl V Westmorland, Jennifer McCoy, Allison B Wright, Adam Variation in high-priority drug-drug interaction alerts across institutions and electronic health records |
title | Variation in high-priority drug-drug interaction alerts across institutions and electronic health records |
title_full | Variation in high-priority drug-drug interaction alerts across institutions and electronic health records |
title_fullStr | Variation in high-priority drug-drug interaction alerts across institutions and electronic health records |
title_full_unstemmed | Variation in high-priority drug-drug interaction alerts across institutions and electronic health records |
title_short | Variation in high-priority drug-drug interaction alerts across institutions and electronic health records |
title_sort | variation in high-priority drug-drug interaction alerts across institutions and electronic health records |
topic | Research and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5391726/ https://www.ncbi.nlm.nih.gov/pubmed/27570216 http://dx.doi.org/10.1093/jamia/ocw114 |
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