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Updated: Mar 21, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
A new framing approach in guideline development to manage different sources of knowledge
Sue Lukersmith1, Katherine Hopman1, Kristina Vine2
1Lukersmith & Associates, Woodford, Australia.
Rationale:
Contemporary guideline methodology struggles to consider context and information from different sources of knowledge besides quantitative research. Return to work programmes involve multiple components and stakeholders. If the guideline is to be relevant and practical for a complex intervention such as return to work, it is essential to use broad sources of knowledge.
Aims And Objective:
This paper reports on a new method in guideline development to manage different sources of knowledge.
Methods:
The method used framing for the return-to-work guidance within the Clinical Practice Guidelines for the Management of Rotator Cuff Syndrome in the Workplace. The development involved was a multi-disciplinary working party of experts including consumers. The researchers considered a broad range of research, expert (practice and experience) knowledge, the individual's and workplace contexts, and used framing with the International Classification of Functioning, Disability and Health. Following a systematic database search on four clinical questions, there were seven stages of knowledge management to extract, unpack, map and pack information to the ICF domains framework. Companion graded recommendations were developed.
Results:
The results include practical examples, user and consumer guides, flow charts and six graded or consensus recommendations on best practice for return to work intervention.
Conclusions:
Our findings suggest using framing in guideline methodology with internationally accepted frames such as the ICF is a reliable and transparent framework to manage different sources of knowledge. Future research might examine other examples and methods for managing complexity and using different sources of knowledge in guideline development.
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