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Integrated Health Record Viewers and Reduction in Duplicate Medical Imaging: Retrospective Observational Analysis

BACKGROUND: Health information exchange and multiplatform health record viewers support more informed medical decisions, improve quality of care, and reduce the risk of adverse outcomes due to fragmentation and discontinuity in care during transition of care. An example of a multiplatform health rec...

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Autores principales: Yuan, Yingzhe, Price, Megan, Schmidt, David F, Ward, Merry, Nebeker, Jonathan, Pizer, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166659/
https://www.ncbi.nlm.nih.gov/pubmed/35594070
http://dx.doi.org/10.2196/32168
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author Yuan, Yingzhe
Price, Megan
Schmidt, David F
Ward, Merry
Nebeker, Jonathan
Pizer, Steven
author_facet Yuan, Yingzhe
Price, Megan
Schmidt, David F
Ward, Merry
Nebeker, Jonathan
Pizer, Steven
author_sort Yuan, Yingzhe
collection PubMed
description BACKGROUND: Health information exchange and multiplatform health record viewers support more informed medical decisions, improve quality of care, and reduce the risk of adverse outcomes due to fragmentation and discontinuity in care during transition of care. An example of a multiplatform health record viewer is the VA/DoD Joint Longitudinal Viewer (JLV), which supports the Department of Veterans Affairs (VA) and Department of Defense (DoD) health care providers with read-only access to patient medical records integrated from multiple sources. JLV is intended to support more informed medical decisions such as reducing duplicate medical imaging when previous image study results may meet current clinical needs. OBJECTIVE: We estimated the impact of provider usage of JLV on duplicate imaging for service members transitioning from the DoD to the VA health care system. METHODS: We conducted a retrospective cross-sectional study in fiscal year 2018 to examine the relationship between providers’ use of JLV and the likelihood of ordering duplicate images. Our sample included recently separated service members who had a VA primary care visit in fiscal year 2018 within 90 days of a DoD imaging study. Patients who received at least one imaging study at VA within 90 days of a DoD imaging study of the same imaging mode and on the same body part are considered to have received potentially duplicate imaging studies. We use a logistic regression model with “JLV provider” (providers with 1 or more JLV audits in the prior 6 months) as the independent variable to estimate the relationship between JLV use and ordering of duplicate images. Control variables included provider image ordering rates in the prior 6 months, provider type, patient demographics (age, race, gender), and clinical characteristics (Elixhauser comorbidity score). RESULTS: Providers known to utilize JLV in the prior 6 months order fewer duplicate images relative to providers not utilizing JLV for similar visits over time (odds ratio 0.44, 95% CI 0.24-0.78; P=.005). This effect is robust across multiple specifications of linear and logistic regression models. The provider’s practice pattern of ordering image studies and the patient’s health status are powerful confounders. CONCLUSIONS: This study provides evidence that adoption of a longitudinal viewer of health records from multiple electronic health record systems is associated with a reduced likelihood of ordering duplicate images. Investments in health information exchange systems may be effective ways to improve the quality of care and reduce adverse outcomes for patients experiencing fragmentation and discontinuity of care.
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spelling pubmed-91666592022-06-05 Integrated Health Record Viewers and Reduction in Duplicate Medical Imaging: Retrospective Observational Analysis Yuan, Yingzhe Price, Megan Schmidt, David F Ward, Merry Nebeker, Jonathan Pizer, Steven JMIR Med Inform Original Paper BACKGROUND: Health information exchange and multiplatform health record viewers support more informed medical decisions, improve quality of care, and reduce the risk of adverse outcomes due to fragmentation and discontinuity in care during transition of care. An example of a multiplatform health record viewer is the VA/DoD Joint Longitudinal Viewer (JLV), which supports the Department of Veterans Affairs (VA) and Department of Defense (DoD) health care providers with read-only access to patient medical records integrated from multiple sources. JLV is intended to support more informed medical decisions such as reducing duplicate medical imaging when previous image study results may meet current clinical needs. OBJECTIVE: We estimated the impact of provider usage of JLV on duplicate imaging for service members transitioning from the DoD to the VA health care system. METHODS: We conducted a retrospective cross-sectional study in fiscal year 2018 to examine the relationship between providers’ use of JLV and the likelihood of ordering duplicate images. Our sample included recently separated service members who had a VA primary care visit in fiscal year 2018 within 90 days of a DoD imaging study. Patients who received at least one imaging study at VA within 90 days of a DoD imaging study of the same imaging mode and on the same body part are considered to have received potentially duplicate imaging studies. We use a logistic regression model with “JLV provider” (providers with 1 or more JLV audits in the prior 6 months) as the independent variable to estimate the relationship between JLV use and ordering of duplicate images. Control variables included provider image ordering rates in the prior 6 months, provider type, patient demographics (age, race, gender), and clinical characteristics (Elixhauser comorbidity score). RESULTS: Providers known to utilize JLV in the prior 6 months order fewer duplicate images relative to providers not utilizing JLV for similar visits over time (odds ratio 0.44, 95% CI 0.24-0.78; P=.005). This effect is robust across multiple specifications of linear and logistic regression models. The provider’s practice pattern of ordering image studies and the patient’s health status are powerful confounders. CONCLUSIONS: This study provides evidence that adoption of a longitudinal viewer of health records from multiple electronic health record systems is associated with a reduced likelihood of ordering duplicate images. Investments in health information exchange systems may be effective ways to improve the quality of care and reduce adverse outcomes for patients experiencing fragmentation and discontinuity of care. JMIR Publications 2022-05-20 /pmc/articles/PMC9166659/ /pubmed/35594070 http://dx.doi.org/10.2196/32168 Text en ©Yingzhe Yuan, Megan Price, David F Schmidt, Merry Ward, Jonathan Nebeker, Steven Pizer. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 20.05.2022. 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 use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Yuan, Yingzhe
Price, Megan
Schmidt, David F
Ward, Merry
Nebeker, Jonathan
Pizer, Steven
Integrated Health Record Viewers and Reduction in Duplicate Medical Imaging: Retrospective Observational Analysis
title Integrated Health Record Viewers and Reduction in Duplicate Medical Imaging: Retrospective Observational Analysis
title_full Integrated Health Record Viewers and Reduction in Duplicate Medical Imaging: Retrospective Observational Analysis
title_fullStr Integrated Health Record Viewers and Reduction in Duplicate Medical Imaging: Retrospective Observational Analysis
title_full_unstemmed Integrated Health Record Viewers and Reduction in Duplicate Medical Imaging: Retrospective Observational Analysis
title_short Integrated Health Record Viewers and Reduction in Duplicate Medical Imaging: Retrospective Observational Analysis
title_sort integrated health record viewers and reduction in duplicate medical imaging: retrospective observational analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166659/
https://www.ncbi.nlm.nih.gov/pubmed/35594070
http://dx.doi.org/10.2196/32168
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