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Electronic Data Capture through Total Joint Replacement Registries

The move toward adoption and implementation of electronic health records (EHR) provides an opportunity in the United States to use electronic clinical data (ECD) to better understand patient outcomes and to improve the quality and efficiency of medical care. Within the field of orthopedics, national...

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Detalles Bibliográficos
Autores principales: Nwachukwu, Benedict U., Bozic, Kevin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AcademyHealth 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4371429/
https://www.ncbi.nlm.nih.gov/pubmed/25848569
http://dx.doi.org/10.13063/2327-9214.1014
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author Nwachukwu, Benedict U.
Bozic, Kevin J.
author_facet Nwachukwu, Benedict U.
Bozic, Kevin J.
author_sort Nwachukwu, Benedict U.
collection PubMed
description The move toward adoption and implementation of electronic health records (EHR) provides an opportunity in the United States to use electronic clinical data (ECD) to better understand patient outcomes and to improve the quality and efficiency of medical care. Within the field of orthopedics, national joint replacement registries have been shown in other countries to improve clinical decision-making and outcomes after joint arthroplasty. Thus, there is increasing interest among U.S. clinical investigators and policymakers to utilize ECD to develop national and regional joint replacement registries. We discuss our experience with integrating electronic data capture and reporting methodology into the California Joint Replacement Registry and American Joint Replacement Registry initiatives. The use of ECD for joint replacement registries will better facilitate multi-stakeholder collaboration, improve the quality of care, reduce medical spending, and foster customized evidence-based clinical decision-making.
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spelling pubmed-43714292015-04-06 Electronic Data Capture through Total Joint Replacement Registries Nwachukwu, Benedict U. Bozic, Kevin J. EGEMS (Wash DC) Learning Health System The move toward adoption and implementation of electronic health records (EHR) provides an opportunity in the United States to use electronic clinical data (ECD) to better understand patient outcomes and to improve the quality and efficiency of medical care. Within the field of orthopedics, national joint replacement registries have been shown in other countries to improve clinical decision-making and outcomes after joint arthroplasty. Thus, there is increasing interest among U.S. clinical investigators and policymakers to utilize ECD to develop national and regional joint replacement registries. We discuss our experience with integrating electronic data capture and reporting methodology into the California Joint Replacement Registry and American Joint Replacement Registry initiatives. The use of ECD for joint replacement registries will better facilitate multi-stakeholder collaboration, improve the quality of care, reduce medical spending, and foster customized evidence-based clinical decision-making. AcademyHealth 2013-10-28 /pmc/articles/PMC4371429/ /pubmed/25848569 http://dx.doi.org/10.13063/2327-9214.1014 Text en All eGEMs publications are licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Learning Health System
Nwachukwu, Benedict U.
Bozic, Kevin J.
Electronic Data Capture through Total Joint Replacement Registries
title Electronic Data Capture through Total Joint Replacement Registries
title_full Electronic Data Capture through Total Joint Replacement Registries
title_fullStr Electronic Data Capture through Total Joint Replacement Registries
title_full_unstemmed Electronic Data Capture through Total Joint Replacement Registries
title_short Electronic Data Capture through Total Joint Replacement Registries
title_sort electronic data capture through total joint replacement registries
topic Learning Health System
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4371429/
https://www.ncbi.nlm.nih.gov/pubmed/25848569
http://dx.doi.org/10.13063/2327-9214.1014
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