An electronic health record driven algorithm to identify incident antidepressant medication users

نویسندگان

  • William V Bobo
  • Jyotishman Pathak
  • Hilal Maradit Kremers
  • Barbara P Yawn
  • Scott M Brue
  • Cynthia J Stoppel
  • Paul E Croarkin
  • Jennifer St Sauver
  • Mark A Frye
  • Walter A Rocca
چکیده

Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA Division of Research, Olmsted Medical Center, Rochester, Minnesota, USA Biomedical Informatics Support System, Mayo Clinic, Rochester, Minnesota, USA Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA

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Research and applications: An electronic health record driven algorithm to identify incident antidepressant medication users

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Identifying the factors and components of an electronic prescription system is of utmost importance in effective designing and implementation of this system. In this regard, the current study was conducted to determine the main factors affecting the national model of electronic prescription from the physicians’ point of view. This is a cross-sectional, descriptive-analytical research carried ou...

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عنوان ژورنال:

دوره 21  شماره 

صفحات  -

تاریخ انتشار 2014