Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre-Post Study.

Slovis, Benjamin Heritier; Riggio, Jeffrey M; Girondo, Melanie; Martino, Cara; Babula, Bracken; Roke, Lindsey M; Kairys, John C

Slovis, Benjamin Heritier; Riggio, Jeffrey M; Girondo, Melanie; Martino, Cara; Babula, Bracken; Roke, Lindsey M; Kairys, John C.

Afiliación

Slovis BH; Office of Clinical Informatics, Thomas Jefferson University, Philadelphia, PA, United States.
Riggio JM; Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA, United States.
Girondo M; Office of Clinical Informatics, Thomas Jefferson University, Philadelphia, PA, United States.
Martino C; Department of Medicine, Thomas Jefferson University, Philadelphia, PA, United States.
Babula B; Information Services and Technology, Thomas Jefferson University, Philadelphia, PA, United States.
Roke LM; Information Services and Technology, Thomas Jefferson University, Philadelphia, PA, United States.
Kairys JC; Office of Clinical Informatics, Thomas Jefferson University, Philadelphia, PA, United States.

J Med Internet Res ; 23(4): e24360, 2021 04 14.

Article en En | MEDLINE | ID: mdl-33851922

Asunto(s)

Dolor Agudo; Analgésicos Opioides; Analgésicos Opioides/uso terapéutico; Hospitales; Humanos; Pautas de la Práctica en Medicina; Prescripciones; Estudios Retrospectivos; Estados Unidos

Palabras clave

electronic health record; informatics; opioids; oxycodone; prescriptions

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Dolor Agudo / Analgésicos Opioides Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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