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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.
Afiliação
  • Ramar P; Robert D. and Patricia E. Kern Mayo Clinic Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, US.
  • Roellinger DL; Robert D. and Patricia E. Kern Mayo Clinic Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, US.
  • Ebbert JO; Robert D. and Patricia E. Kern Mayo Clinic Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, US.
  • Lovely JK; Mayo Clinic College of Medicine, Rochester, Minnesota, US.
  • Philpot LM; Mayo Clinic College of Medicine, Rochester, Minnesota, US.
EGEMS (Wash DC) ; 6(1): 6, 2018 May 10.
Article em En | MEDLINE | ID: mdl-29881764
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: EGEMS (Wash DC) Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: EGEMS (Wash DC) Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos