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A Predictive Model for Developing Long Term Opioid Use After Neurosurgery and Orthopedic Surgery.
Bemel, Blaire; Stalter, Nicholas; Mathiason, Michelle A; Banik, Ratan; Pruinelli, Lisiane.
  • Bemel B; is a surgical intensive care nurse at a level one trauma center in Minneapolis, Minnesota. This research study was completed for her baccalaureate summa cum laude honors thesis at the University of Minnesota-Twin Cities.
  • Stalter N; is currently a software developer at Amazon. As an undergrad, he acted as a research assistant working on pain research with Dr Lisiane Pruinelli. He graduated with a BS in computer science summa cum laude from the University of Minnesota - Twin Cities.
  • Mathiason MA; is a biostatistician, School of Nursing, University of Minnesota. Her focus is assisting faculty in research with big data and clinical electronic health record data.
  • Banik R; is an assistant professor, Department of Anesthesiology, School of Medicine, University of Minnesota. Dr Banik is an anesthesiologist who investigates postoperative pain following surgical incision, which includes behavioral phenotypes, peripheral nociceptor sensitization, and pharmacologic modulati
  • Pruinelli L; is an assistant professor, School of Nursing and an Affiliate Faculty, Institute for Health Informatics, University of Minnesota. Her research focuses on applying cutting-edge informatics tools and data science methodologies to improve health outcomes for complex disease conditions.
AANA J ; 90(2): 114-120, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35343892
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Banco de datos: MEDLINE Asunto principal: Procedimientos Ortopédicos / Trastornos Relacionados con Opioides / Neurocirugia Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Middle aged Idioma: En Año: 2022 Tipo del documento: Article
Search on Google
Imprimir
XML
PubMed Links

Banco de datos: MEDLINE Asunto principal: Procedimientos Ortopédicos / Trastornos Relacionados con Opioides / Neurocirugia Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Middle aged Idioma: En Año: 2022 Tipo del documento: Article