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Clinical Decision Support at Intermountain Healthcare

  • Peter J. Haug
  • Reed M. Gardner
  • R. Scott Evans
  • Beatriz H. Rocha
  • Roberto A. Rocha
Part of the Health Informatics book series (HI)

Abstract

Decision support technologies are becoming increasingly available to medical practitioners. A variety of programs designed to assist with drug dosing, health maintenance, diagnosis, and other clinically relevant healthcare decisions have been developed for the medical workplace. Increasing ease of access to personal computers is partially responsible for this growth. More important, however, is the growing dependency on computers to maintain part or all of the medical record.This has led to a growing interest in and, in some cases, dependency on, automated medical decision making to support the delivery of economical, quality care.

Keywords

Clinical Decision Support Common Data Model Knowledge Repository Rule Node Medical Decision Support 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Peter J. Haug
    • 1
    • 2
  • Reed M. Gardner
    • 1
    • 3
  • R. Scott Evans
    • 4
  • Beatriz H. Rocha
    • 5
  • Roberto A. Rocha
    • 6
  1. 1.Department of Biomedical InformaticsUniversity of UtahSalt Lake CityUSA
  2. 2.Intermountain HealthcareSalt Lake CityUSA
  3. 3.Department of Medical InformaticsIntermountain HealthcareSalt Lake CityUSA
  4. 4.LDS Hospital/Intermountain HealthcareSalt Lake CityUSA
  5. 5.Department of Medical InformaticsIntermountain HealthcareSalt Lake CityUSA
  6. 6.Department of Biomedical InformaticsUniversity of Utah, School of MedicineSalt Lake CityUSA

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