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Updated: Jun 16, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Access with evidence development schemes: a framework for description and evaluation
Christopher J McCabe1, Tania Stafinski, Richard Edlin
1Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK. c.mccabe@leeds.ac.uk
Abstract:
There is an inevitable tension between robust reimbursement processes and providing speedy access to new and novel technologies, given uncertainties about key pieces of evidence and subsequent concerns regarding their overall efficiency. The public perception of these treatments as 'breakthrough', combined with substantial clinical pressure, has led to healthcare payers looking for schemes that allow the new technology to be made available to (some) patients, while (at least partially) protecting the principles of their reimbursement decision-making processes. Current literature on these schemes is almost completely descriptive and provides little help in planning future schemes. We propose a framework for evaluating current schemes and informing the design of future schemes. We examine the value of the framework using the UK Multiple Sclerosis Risk-Sharing Scheme as a case study.
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