Your browser doesn't support javascript.
loading
Decision Support System Detecting Patients at Risk of Prolonged QT and Associated Mortality.
Caraballo, Pedro J; Bos, Johan M; Qian, Ray; Fischer, Karen M; Johnsen, Paul J; Schreie, Diana J; Simon, Gyorgy; Ackerman, Michael J.
Afiliación
  • Caraballo PJ; Department of Medicine, Mayo Clinic, Rochester, MN, USA.
  • Bos JM; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • Qian R; Department of Cardiology, Mayo Clinic, Rochester, MN, USA.
  • Fischer KM; Department of Medicine, Mayo Clinic, Rochester, MN, USA.
  • Johnsen PJ; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • Schreie DJ; Department of Information Technology, Mayo Clinic, Rochester, MN, USA.
  • Simon G; Department of Pharmacy, Mayo Clinic, Rochester, MN, USA.
  • Ackerman MJ; Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA.
Stud Health Technol Inform ; 310: 1378-1379, 2024 Jan 25.
Article en En | MEDLINE | ID: mdl-38269655
ABSTRACT
Prolonged QT interval is an independent risk factor for all-cause mortality. However, evaluation of mortality associated to the implementation of a clinical decision support system to increase awareness and provide management recommendations has been challenging. Here we present our attempt to develop a model using only electronic data and different control groups.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos