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[Computerized decision support systems: EBM at the bedside].

Matteo Capobussi1, Rita Banzi2, Lorenzo Moja3

  • 1Scuola di Specializzazione in Igiene e Medicina Preventiva, Università di Milano.

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Summary
This summary is machine-generated.

Computerized Decision Support Systems (CDSSs) improve care quality by integrating evidence into electronic health records. The CODES trial shows CDSSs are feasible and trusted by clinicians, aiding decision-making and risk management.

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Area of Science:

  • Health Informatics
  • Clinical Decision Support
  • Evidence-Based Medicine

Background:

  • Evidence-Based Medicine aims to enhance care quality through efficient knowledge transfer.
  • Computerized Decision Support Systems (CDSSs) provide real-time alerts to clinicians within electronic health records.
  • CDSSs facilitate the integration of the latest clinical research findings at the point of care.

Purpose of the Study:

  • To evaluate the feasibility and efficacy of implementing a CDSS in a hospital setting.
  • To assess the impact of CDSS on daily clinical practice and decision-making.
  • To identify barriers and facilitators to adopting new health technologies.

Main Methods:

  • Two pragmatic randomized controlled trials (RCTs) were conducted in two large Italian hospitals.
  • The CDSS (EBMeDS - MediDSS) provided alerts for therapy, drug interactions, diagnosis, and healthcare management.
  • The primary outcome was the rate of alert resolution by clinicians; qualitative and retrospective analyses were also performed.

Main Results:

  • Over 10,000 patients have been randomized in the ongoing trials.
  • Clinicians increasingly perceive the CDSS as a trusted, patient-specific second opinion.
  • Retrospective analysis identified opportunities for improved healthcare quality and rare drug interactions.

Conclusions:

  • CDSSs are promising tools for supporting clinicians in daily practice.
  • CDSSs can be utilized for real-time decision support and retrospective data analysis.
  • Aggregated data from CDSSs offer valuable resources for hospital management and risk stratification.