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Related Experiment Video

Updated: Apr 3, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Barriers and facilitators perceived by physicians when using prediction models in practice.

Teus H Kappen1, Kim van Loon1, Martinus A M Kappen1

  • 1Division of Anesthesiology, Department of Anesthesiology, Intensive Care and Emergency Medicine, University Medical Center Utrecht, P.O. Box 85500, Mail Stop F.06.149, Utrecht 3508 GA, The Netherlands.

Journal of Clinical Epidemiology
|September 25, 2015
PubMed
Summary
This summary is machine-generated.

Physicians found it difficult to integrate predicted risks into their intuitive decision-making for postoperative nausea and vomiting (PONV) prevention. A directive approach, offering recommendations alongside risks, may improve the use of prediction tools.

Keywords:
Decision makingDecision supportImpact studyImplementationMixed methodsRisk prediction model

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Area of Science:

  • Anesthesiology
  • Clinical Decision Support
  • Health Informatics

Background:

  • Risk prediction models can aid in managing healthcare conditions.
  • An assistive approach using calculated risks for postoperative nausea and vomiting (PONV) increased risk-based management but did not improve patient outcomes.

Purpose of the Study:

  • To explore how prediction tools influence physician decision-making processes.
  • To understand physicians' perceptions of predicted risks and their impact on clinical choices.

Main Methods:

  • Mixed-methods study involving interviews with eight physicians and a survey of all 57 physicians from a cluster-randomized trial.
  • Investigated physician perceptions and the influence of presented risks on decision-making regarding PONV prophylaxis.

Main Results:

  • Physicians reported barriers to using predicted risks, including the perceived low importance of PONV, reliance on intuitive decision-making for prophylaxis, and prediction models not balancing drug benefits and risks.
  • Awareness of PONV prevention increased, but integration of probabilistic risk output with clinical experience proved challenging.

Conclusions:

  • Physicians' intuitive decision-making processes hinder the adoption of prediction tools that provide only probabilistic output.
  • A directive approach, incorporating recommendations with predicted risks, is crucial for facilitating the uptake and effective use of clinical prediction tools.