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Medication Reconciliation during Transitions of Care Across Institutions: A Quantitative Analysis of Challenges and Opportunities

Objective  Medication discrepancies between clinical systems may pose a patient safety hazard. In this paper, we identify challenges and quantify medication discrepancies across transitions of care. Methods  We used structured clinical data and free-text hospital discharge summaries to compare activ...

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Autores principales: Araya, Alejandro, Thornton, Logan R., Kwon, Deukwoo, Ferguson, Gayla M., Highfield, Linda D., Hwang, Kevin O., Holmes, Holly M., Bernstam, Elmer V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665121/
https://www.ncbi.nlm.nih.gov/pubmed/37726022
http://dx.doi.org/10.1055/a-2178-0197
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author Araya, Alejandro
Thornton, Logan R.
Kwon, Deukwoo
Ferguson, Gayla M.
Highfield, Linda D.
Hwang, Kevin O.
Holmes, Holly M.
Bernstam, Elmer V.
author_facet Araya, Alejandro
Thornton, Logan R.
Kwon, Deukwoo
Ferguson, Gayla M.
Highfield, Linda D.
Hwang, Kevin O.
Holmes, Holly M.
Bernstam, Elmer V.
author_sort Araya, Alejandro
collection PubMed
description Objective  Medication discrepancies between clinical systems may pose a patient safety hazard. In this paper, we identify challenges and quantify medication discrepancies across transitions of care. Methods  We used structured clinical data and free-text hospital discharge summaries to compare active medications' lists at four time points: preadmission (outpatient), at-admission (inpatient), at-discharge (inpatient), and postdischarge (outpatient). Medication lists were normalized to RxNorm. RxNorm identifiers were further processed using the RxNav API to identify the ingredient. The specific drugs and ingredients from inpatient and outpatient medication lists were compared. Results  Using RxNorm drugs, the median percentage intersection when comparing active medication lists within the same electronic health record system ranged between 94.1 and 100% indicating substantial overlap. Similarly, when using RxNorm ingredients the median percentage intersection was 94.1 to 100%. In contrast, the median percentage intersection when comparing active medication lists across EHR systems was significantly lower (RxNorm drugs: 6.1–7.1%; RxNorm ingredients: 29.4–35.0%) indicating that the active medication lists were significantly less similar ( p  < 0.05). Medication lists in the same EHR system are more similar to each other (fewer discrepancies) than medication lists in different EHR systems when comparing specific RxNorm drug and the more general RxNorm ingredients at transitions of care. Transitions of care that require interoperability between two EHR systems are associated with more discrepancies than transitions where medication changes are expected (e.g., at-admission vs. at-discharge). Challenges included lack of access to structured, standardized medication data across systems, and difficulty distinguishing medications from orderable supplies such as lancets and diabetic test strips. Conclusion  Despite the challenges to medication normalization, there are opportunities to identify and assist with medication reconciliation across transitions of care between institutions.
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spelling pubmed-106651212023-11-01 Medication Reconciliation during Transitions of Care Across Institutions: A Quantitative Analysis of Challenges and Opportunities Araya, Alejandro Thornton, Logan R. Kwon, Deukwoo Ferguson, Gayla M. Highfield, Linda D. Hwang, Kevin O. Holmes, Holly M. Bernstam, Elmer V. Appl Clin Inform Objective  Medication discrepancies between clinical systems may pose a patient safety hazard. In this paper, we identify challenges and quantify medication discrepancies across transitions of care. Methods  We used structured clinical data and free-text hospital discharge summaries to compare active medications' lists at four time points: preadmission (outpatient), at-admission (inpatient), at-discharge (inpatient), and postdischarge (outpatient). Medication lists were normalized to RxNorm. RxNorm identifiers were further processed using the RxNav API to identify the ingredient. The specific drugs and ingredients from inpatient and outpatient medication lists were compared. Results  Using RxNorm drugs, the median percentage intersection when comparing active medication lists within the same electronic health record system ranged between 94.1 and 100% indicating substantial overlap. Similarly, when using RxNorm ingredients the median percentage intersection was 94.1 to 100%. In contrast, the median percentage intersection when comparing active medication lists across EHR systems was significantly lower (RxNorm drugs: 6.1–7.1%; RxNorm ingredients: 29.4–35.0%) indicating that the active medication lists were significantly less similar ( p  < 0.05). Medication lists in the same EHR system are more similar to each other (fewer discrepancies) than medication lists in different EHR systems when comparing specific RxNorm drug and the more general RxNorm ingredients at transitions of care. Transitions of care that require interoperability between two EHR systems are associated with more discrepancies than transitions where medication changes are expected (e.g., at-admission vs. at-discharge). Challenges included lack of access to structured, standardized medication data across systems, and difficulty distinguishing medications from orderable supplies such as lancets and diabetic test strips. Conclusion  Despite the challenges to medication normalization, there are opportunities to identify and assist with medication reconciliation across transitions of care between institutions. Georg Thieme Verlag KG 2023-11-22 /pmc/articles/PMC10665121/ /pubmed/37726022 http://dx.doi.org/10.1055/a-2178-0197 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Araya, Alejandro
Thornton, Logan R.
Kwon, Deukwoo
Ferguson, Gayla M.
Highfield, Linda D.
Hwang, Kevin O.
Holmes, Holly M.
Bernstam, Elmer V.
Medication Reconciliation during Transitions of Care Across Institutions: A Quantitative Analysis of Challenges and Opportunities
title Medication Reconciliation during Transitions of Care Across Institutions: A Quantitative Analysis of Challenges and Opportunities
title_full Medication Reconciliation during Transitions of Care Across Institutions: A Quantitative Analysis of Challenges and Opportunities
title_fullStr Medication Reconciliation during Transitions of Care Across Institutions: A Quantitative Analysis of Challenges and Opportunities
title_full_unstemmed Medication Reconciliation during Transitions of Care Across Institutions: A Quantitative Analysis of Challenges and Opportunities
title_short Medication Reconciliation during Transitions of Care Across Institutions: A Quantitative Analysis of Challenges and Opportunities
title_sort medication reconciliation during transitions of care across institutions: a quantitative analysis of challenges and opportunities
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665121/
https://www.ncbi.nlm.nih.gov/pubmed/37726022
http://dx.doi.org/10.1055/a-2178-0197
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