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An EHR-based method to structure, standardize, and automate clinical documentation tasks for pharmacists to generate extractable outcomes

As the recognition of team-based care grows and pharmacists increase in patient care interventions, it is important that tools to track clinical services are easily accessible and well-integrated into workflow for all providers. We describe and discuss feasibility and implementation of data tools in...

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Autores principales: Sanders, Kimberly A, Wolverton, Daniel, Stamopoulos, Marina, Zunich, Rada, Niznik, Joshua, Ferreri, Stefanie P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174697/
https://www.ncbi.nlm.nih.gov/pubmed/37181730
http://dx.doi.org/10.1093/jamiaopen/ooad034
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author Sanders, Kimberly A
Wolverton, Daniel
Stamopoulos, Marina
Zunich, Rada
Niznik, Joshua
Ferreri, Stefanie P
author_facet Sanders, Kimberly A
Wolverton, Daniel
Stamopoulos, Marina
Zunich, Rada
Niznik, Joshua
Ferreri, Stefanie P
author_sort Sanders, Kimberly A
collection PubMed
description As the recognition of team-based care grows and pharmacists increase in patient care interventions, it is important that tools to track clinical services are easily accessible and well-integrated into workflow for all providers. We describe and discuss feasibility and implementation of data tools in an electronic health record to evaluate a pragmatic clinical pharmacy intervention focused on deprescribing in aged adults delivered at multiple clinical sites in a large academic health system. Of the data tools utilized, we were able to demonstrate clear documentation frequency of certain phrases during the intervention period for 574 patients receiving opioids and 537 patients receiving benzodiazepines. Although clinical decision support and documentation tools exist, they are underutilized or cumbersome to integrate into primary health care and strategies, such as employed, are a solution. This communication incorporates the importance of clinical pharmacy information systems in research design.
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spelling pubmed-101746972023-05-12 An EHR-based method to structure, standardize, and automate clinical documentation tasks for pharmacists to generate extractable outcomes Sanders, Kimberly A Wolverton, Daniel Stamopoulos, Marina Zunich, Rada Niznik, Joshua Ferreri, Stefanie P JAMIA Open Brief Communications As the recognition of team-based care grows and pharmacists increase in patient care interventions, it is important that tools to track clinical services are easily accessible and well-integrated into workflow for all providers. We describe and discuss feasibility and implementation of data tools in an electronic health record to evaluate a pragmatic clinical pharmacy intervention focused on deprescribing in aged adults delivered at multiple clinical sites in a large academic health system. Of the data tools utilized, we were able to demonstrate clear documentation frequency of certain phrases during the intervention period for 574 patients receiving opioids and 537 patients receiving benzodiazepines. Although clinical decision support and documentation tools exist, they are underutilized or cumbersome to integrate into primary health care and strategies, such as employed, are a solution. This communication incorporates the importance of clinical pharmacy information systems in research design. Oxford University Press 2023-05-11 /pmc/articles/PMC10174697/ /pubmed/37181730 http://dx.doi.org/10.1093/jamiaopen/ooad034 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Brief Communications
Sanders, Kimberly A
Wolverton, Daniel
Stamopoulos, Marina
Zunich, Rada
Niznik, Joshua
Ferreri, Stefanie P
An EHR-based method to structure, standardize, and automate clinical documentation tasks for pharmacists to generate extractable outcomes
title An EHR-based method to structure, standardize, and automate clinical documentation tasks for pharmacists to generate extractable outcomes
title_full An EHR-based method to structure, standardize, and automate clinical documentation tasks for pharmacists to generate extractable outcomes
title_fullStr An EHR-based method to structure, standardize, and automate clinical documentation tasks for pharmacists to generate extractable outcomes
title_full_unstemmed An EHR-based method to structure, standardize, and automate clinical documentation tasks for pharmacists to generate extractable outcomes
title_short An EHR-based method to structure, standardize, and automate clinical documentation tasks for pharmacists to generate extractable outcomes
title_sort ehr-based method to structure, standardize, and automate clinical documentation tasks for pharmacists to generate extractable outcomes
topic Brief Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174697/
https://www.ncbi.nlm.nih.gov/pubmed/37181730
http://dx.doi.org/10.1093/jamiaopen/ooad034
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