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Related Experiment Videos

Utilization of laboratory resources: developments in knowledge-based ordering systems

L Boon-Falleur1, E Sokal, P G Nightingale

  • 1Cliniques Universitaires St. Luc, Brussels, Belgium.

International Journal of Bio-Medical Computing
|September 1, 1995
PubMed
Summary
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Two decision support systems were evaluated for screening medical test requests. One system successfully identified unnecessary TSH tests, while another demonstrated successful transferability to a new clinical environment.

Area of Science:

  • Clinical Informatics
  • Health Services Research

Background:

  • Rule-based decision support systems (DSS) can optimize laboratory test utilization.
  • Evaluating the effectiveness and transferability of such systems is crucial for widespread adoption.

Purpose of the Study:

  • To describe and evaluate two distinct rule-based DSS for laboratory test requests.
  • To assess the performance of a DSS in screening TSH test requests for necessity.
  • To evaluate the successful transfer and implementation of a UK-based DSS in a Belgian hospital setting.

Main Methods:

  • The first system screened 794 TSH test requests based on presented signs and symptoms.
  • The second system, originally from the UK, was adapted for multilingual use and implemented in Belgium with new investigation protocols.

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Main Results:

  • The first system correctly identified 17% of unnecessary TSH tests, with a 0.5% false positive rate.
  • The transfer of the second system to Belgium was successful, with initial indications of improved appropriateness of investigations.

Conclusions:

  • Rule-based DSS show promise in reducing unnecessary laboratory testing.
  • The successful implementation of a DSS in a different linguistic and clinical environment suggests good transferability of such tools.