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On-line computer pharmacokinetics program: lessons learned from its failure

D M Baer1, M L Kotschi

  • 1Pathology and Laboratory Medicine Service, Veterans Affairs Medical Center, Portland, OR 97207, USA.

Clinical Chemistry
|April 1, 1995
PubMed
Summary
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Decision support technology (DST) shows promise but faces implementation challenges. Validating DST in real clinical settings is crucial for successful integration and improved patient outcomes.

Area of Science:

  • Medical Informatics
  • Clinical Decision Support Systems
  • Health Information Technology

Background:

  • Decision support computer technology (DST) integrated into laboratory or hospital information systems offers significant potential.
  • However, the successful implementation of DST has been limited.

Purpose of the Study:

  • To identify barriers to the successful implementation of DST.
  • To analyze the impact of a pharmacokinetic program with automatic data extraction on clinical practice and patient outcomes.

Main Methods:

  • Studied a pharmacokinetic program that automatically extracted data, eliminating manual entry.
  • Analyzed data entry accuracy, clinical practice changes, software compatibility, and patient outcomes.

Main Results:

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  • Manual data entry and erroneous data (e.g., heights, weights, dosing times) are significant barriers.
  • Changes in clinical practice and software updates can render DST programs incompatible, requiring revisions.
  • Clinicians increased test orders and altered drug doses without demonstrable improvements in patient outcomes, suggesting potential misinterpretation of DST output.

Conclusions:

  • Successful DST implementation requires addressing data accuracy and system compatibility.
  • The potential benefits of DST may not be realized if clinicians misinterpret the information provided.
  • Thorough validation of DST programs within actual clinical environments is essential before widespread adoption.