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Related Experiment Videos

Information retrieval performance of probabilistically generated, problem-specific computerized provider order entry

Adam S Rothschild1, Harold P Lehmann

  • 1Department of Biomedical Informatics, Columbia University, Vanderbilt Clinic 5th Floor, 622 West 168th Street, New York, NY 10032, USA. adam.rothschild@dbmi.columbia.edu

Journal of the American Medical Informatics Association : JAMIA
|February 3, 2005
PubMed
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This study shows it is feasible to create problem-specific computerized provider order entry (CPOE) pick-lists using linked clinical data. Further research is needed to confirm its real-world usefulness.

Area of Science:

  • Clinical Informatics
  • Health Information Technology
  • Medical Decision Support

Background:

  • Computerized provider order entry (CPOE) systems aim to improve patient care and safety.
  • Generating relevant order suggestions within CPOE is challenging.
  • Problem-specific pick-lists could enhance CPOE efficiency and accuracy.

Purpose of the Study:

  • To determine the feasibility of probabilistically generating problem-specific CPOE pick-lists.
  • To evaluate the potential of using linked orders and problems from clinical cases.
  • To assess the performance of a novel pick-list generation method.

Main Methods:

  • A pilot retrospective study using internal medicine cases.
  • Physicians linked orders to specific problems identified in patient records.

Related Experiment Videos

  • Probability of Linkage of Order and Problem (PLOP) was calculated based on order-problem pair prevalence.
  • System-generated pick-lists were evaluated against physician-created standards.
  • Main Results:

    • Recall and precision varied inversely with the PLOP threshold, demonstrating classic information retrieval behavior.
    • Maximum recall of 0.67 was achieved at a PLOP threshold of 0, with a precision of 0.17.
    • Maximum precision of 0.73 was achieved at a PLOP threshold of 0.9, with a recall of 0.09.

    Conclusions:

    • Probabilistically generating problem-specific CPOE pick-lists from linked clinical data is feasible.
    • The developed method shows potential for improving CPOE systems.
    • Further research is required to validate the clinical utility in real-world settings.