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Utilizing Administrative Data to Focus Quality Improvement Efforts for Opioid Prescribing in an Integrated Health System

This case study describes the use of multiple administrative data sources within a large, integrated health care delivery system to understand opioid prescribing patterns across practice settings. We describe the information needed to understand prescribing patterns and target interventions, the pro...

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Detalles Bibliográficos
Autores principales: Ramar, Priya, Roellinger, Daniel L., Ebbert, Jon O., Lovely, Jenna K., Philpot, Lindsey M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982935/
https://www.ncbi.nlm.nih.gov/pubmed/29881764
http://dx.doi.org/10.5334/egems.203
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author Ramar, Priya
Roellinger, Daniel L.
Ebbert, Jon O.
Lovely, Jenna K.
Philpot, Lindsey M.
author_facet Ramar, Priya
Roellinger, Daniel L.
Ebbert, Jon O.
Lovely, Jenna K.
Philpot, Lindsey M.
author_sort Ramar, Priya
collection PubMed
description This case study describes the use of multiple administrative data sources within a large, integrated health care delivery system to understand opioid prescribing patterns across practice settings. We describe the information needed to understand prescribing patterns and target interventions, the process for identifying relevant institutional data sources that could be linked to provide information on the settings for prescriptions, and the lessons learned in developing, testing, and implementing an algorithm to link the data sources in a useful manner.
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spelling pubmed-59829352018-06-07 Utilizing Administrative Data to Focus Quality Improvement Efforts for Opioid Prescribing in an Integrated Health System Ramar, Priya Roellinger, Daniel L. Ebbert, Jon O. Lovely, Jenna K. Philpot, Lindsey M. EGEMS (Wash DC) Case Study This case study describes the use of multiple administrative data sources within a large, integrated health care delivery system to understand opioid prescribing patterns across practice settings. We describe the information needed to understand prescribing patterns and target interventions, the process for identifying relevant institutional data sources that could be linked to provide information on the settings for prescriptions, and the lessons learned in developing, testing, and implementing an algorithm to link the data sources in a useful manner. Ubiquity Press 2018-05-10 /pmc/articles/PMC5982935/ /pubmed/29881764 http://dx.doi.org/10.5334/egems.203 Text en Copyright: © 2018 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
spellingShingle Case Study
Ramar, Priya
Roellinger, Daniel L.
Ebbert, Jon O.
Lovely, Jenna K.
Philpot, Lindsey M.
Utilizing Administrative Data to Focus Quality Improvement Efforts for Opioid Prescribing in an Integrated Health System
title Utilizing Administrative Data to Focus Quality Improvement Efforts for Opioid Prescribing in an Integrated Health System
title_full Utilizing Administrative Data to Focus Quality Improvement Efforts for Opioid Prescribing in an Integrated Health System
title_fullStr Utilizing Administrative Data to Focus Quality Improvement Efforts for Opioid Prescribing in an Integrated Health System
title_full_unstemmed Utilizing Administrative Data to Focus Quality Improvement Efforts for Opioid Prescribing in an Integrated Health System
title_short Utilizing Administrative Data to Focus Quality Improvement Efforts for Opioid Prescribing in an Integrated Health System
title_sort utilizing administrative data to focus quality improvement efforts for opioid prescribing in an integrated health system
topic Case Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982935/
https://www.ncbi.nlm.nih.gov/pubmed/29881764
http://dx.doi.org/10.5334/egems.203
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