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Related Experiment Videos

Decision support in healthcare

P D Clayton1, G Hripcsak

  • 1Department of Medical Informatics, Columbia-Presbyterian Medical Center, New York, NY 10032, USA.

International Journal of Bio-Medical Computing
|April 1, 1995
PubMed
Summary
This summary is machine-generated.

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Computerized clinical decision support systems aid healthcare providers by organizing patient data and offering various tools. However, challenges in implementation and benefit evaluation limit their widespread adoption.

Area of Science:

  • Health Informatics
  • Clinical Decision Support
  • Medical Information Systems

Background:

  • Information overload and limited human memory pose challenges in healthcare.
  • Computer-based systems aim to improve healthcare quality and reduce costs through decision support.

Purpose of the Study:

  • To review implemented computer-based clinical decision support systems.
  • To identify challenges hindering the adoption and assess the demonstrated benefits of these systems.

Main Methods:

  • Review of existing literature on implemented clinical decision support systems.
  • Analysis of challenges including knowledge representation, database integration, and benefit evaluation.

Main Results:

  • Current systems offer diverse functionalities like patient data access, literature retrieval, and diagnostic suggestions.

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  • Widespread adoption is limited, with key challenges in implementation and benefit assessment.

    • Conclusions:

    • Despite advanced capabilities, clinical decision support systems face significant implementation hurdles.
    • Further research is needed to overcome challenges and demonstrate tangible benefits for broader use.