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Reducing the frequency of errors in medicine using information technology.

D W Bates1, M Cohen, L L Leape

  • 1Harvard Medical School, Boston, Massachusetts, USA. dbates@partners.org

Journal of the American Medical Informatics Association : JAMIA
|June 22, 2001
PubMed
Summary

Information technology can reduce medical errors and improve patient safety. Implementing clinical decision support and interconnected systems offers substantial benefits in healthcare.

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Area of Science:

  • Health Informatics
  • Patient Safety Research
  • Medical Error Analysis

Background:

  • Medical errors are frequent and cause significant patient harm.
  • Public awareness of medical errors has increased following major reports.
  • The Institute of Medicine highlighted the need for a safer healthcare system.

Purpose of the Study:

  • To describe how information technology can reduce medical errors.
  • To outline strategies for mitigating the consequences of medical errors.
  • To provide recommendations for error reduction using health information technology.

Main Methods:

  • Literature review and analysis of existing data on medical errors.
  • Identification of information technology applications for error reduction.

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  • Formulation of general and specific recommendations for implementing health IT.
  • Main Results:

    • General recommendations include judicious implementation of clinical decision support, system testing, data standards, interoperability, and improved regulation.
    • Specific recommendations involve implementing provider order entry, computerized prescribing, and bar-coding for medications and devices.
    • Utilizing electronic systems for communicating critical data like abnormal lab values is advised.

    Conclusions:

    • Increased use of health information technology, particularly clinical decision support, can significantly enhance patient safety.
    • Improved system linkages and process simplification through IT are key to reducing medical errors.
    • Strategic adoption of health IT promises substantial improvements in healthcare quality and patient outcomes.