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A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and

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The KNOWBED system, a new clinical decision support tool, helps healthcare professionals quickly access evidence-based medicine at the bedside. This innovative system enhances patient care and resource optimization in clinical practice.

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clinical decision support systemevidence-based medicinescientific knowledge integration

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Area of Science:

  • Medical Informatics
  • Clinical Decision Support Systems
  • Evidence-Based Medicine

Background:

  • The evidence-based medicine (EBM) paradigm necessitates skilled healthcare professionals in literature searching and evidence evaluation.
  • Integrating EBM into clinical practice improves patient care, enhances safety, and optimizes resource utilization.

Purpose of the Study:

  • To develop and evaluate the KNOWBED system, a novel clinical decision support tool.
  • To enable healthcare professionals to rapidly access scientific knowledge for EBM-based decision-making in routine practice.

Main Methods:

  • The KNOWBED system comprises a web-based knowledge station and a mobile application.
  • Validation involved a 3-month pilot study in a Paediatrics Unit, focusing on bronchiolitis pathology.
  • Key validation indicators included system usability and efficacy.

Main Results:

  • The KNOWBED system was successfully designed, developed, and validated for clinical decision support.
  • Healthcare professionals can access bedside scientific knowledge and EBM-based clinical protocol recommendations.
  • A pilot study involved 15 healthcare professionals with 59 system accesses.

Conclusions:

  • The KNOWBED system is an innovative and valuable tool for healthcare professionals.
  • User feedback indicates high usability and ease of access to the knowledge base.
  • Future improvements for the KNOWBED system are outlined in the paper.