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Mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge
1BMJ Knowledge Centre, BMJ, London, UK kmwalsh@bmj.com.
BMJ Health & Care Informatics
|July 30, 2020
Summary
Mobilizing computable biomedical knowledge for clinical decision support presents significant challenges for medical knowledge providers. Addressing these requires collaboration to overcome issues with machine interpretability, standards, and patient outcome tracking.
Area of Science:
- Biomedical Informatics
- Clinical Decision Support Systems
- Medical Knowledge Management
Background:
- Summarizes a talk from the first UK workshop on mobilizing computable biomedical knowledge.
- Examines challenges from a medical knowledge provider's perspective.
Purpose of the Study:
- To identify and discuss key challenges in mobilizing computable biomedical knowledge for clinical decision support.
- To explore barriers faced by knowledge providers in ensuring content accessibility and utilization by healthcare professionals.
Main Methods:
- Personal reflection on encountered challenges and barriers.
- Discussion and feedback from workshop delegates.
Main Results:
- Significant challenges exist in creating machine-interpretable content.
- Issues with standards, outcome tracing, comorbidities, and safety adherence are critical.
- Integration of knowledge with practical skills and professional behaviors is complex.
Conclusions:
- Mobilizing computable knowledge for clinical decision support is a multifaceted problem.
- Partnership between institutions is essential for progress due to the complexity and interconnectedness of challenges.
- Overcoming these hurdles is vital for effective clinical decision support.
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