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Related Experiment Videos

OpenLabs services for ordering laboratory investigations

E J de Wilde1, P Pop, A Hasman

  • 1Department of Medical Informatics, University of Limburg, Maastricht, Netherlands.

Computer Methods and Programs in Biomedicine
|July 1, 1996
PubMed
Summary

An automated system efficiently screens general practitioner (GP) requests for laboratory investigations, identifying 4-17% of tests as unnecessary. This user-friendly system enhances current manual feedback, further reducing test utilization.

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Area of Science:

  • Health Informatics
  • Laboratory Medicine
  • Clinical Decision Support

Background:

  • Current manual systems provide semi-annual feedback on laboratory investigation requests from general practitioners (GPs).
  • Manual systems have demonstrated considerable reduction in requested tests.
  • Existing feedback mechanisms are time-consuming and less frequent.

Purpose of the Study:

  • To develop and evaluate an automated system for screening GP laboratory investigation requests.
  • To provide timely and adequate feedback on the appropriateness of requested tests.
  • To extend and improve upon the existing manual feedback system.

Main Methods:

  • Development of an automated system to screen laboratory investigation requests.
  • Implementation of criteria based on established guidelines and GP work agreements.

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  • Assessment of system user-friendliness and identification of unnecessary tests.
  • Calculation of false negative rates for specific conditions (hyperthyroidism, hypothyroidism).

    • Main Results:

    • The automated system is highly user-friendly.
    • 4-17% of requested laboratory investigations were identified as potentially unnecessary.
    • False negative rates ranged from 4% for hyperthyroidism to 23% for hypothyroidism.
    • The system achieved additional test reduction beyond the manual system's impact.

    Conclusions:

    • The automated system offers a user-friendly and effective method for screening laboratory investigation requests.
    • This automated approach provides significant additional reduction in unnecessary tests.
    • The system demonstrates potential for improving the efficiency and appropriateness of diagnostic testing in primary care.