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

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.