Tools for evidence-informed practice

Evidence Search Builder

Builds PICO questions and search strategies from clinical cases.

Appraises research evidence using CASP checklists for quality, bias, and MSK clinical applicability.

Evidence Appraisal

Fact Extractor

Extracts citation-linked key findings from research papers into copy-ready notes.

Results Analyser

Places study findings in context using supporting and contrasting evidence.

Helps clinicians map MSK case details to ICF codes and create an ICF-informed case profile.

ICF Case Profile Builder

A growing suite of CLEAR-developed tools to support evidence searching, critical appraisal, evidence extraction, result interpretation, and case report development.

Davenport proposes the ICF as a framework for reporting physiotherapy case reports, helping clinicians describe functioning, disability, and health more clearly. It informed development of the CLEAR ICF Case Profile Builder.

Davenport, T. E. (2015) Clinical Case Reporting in the Peer-Reviewed Physical Therapy Literature: Time to Move Toward Functioning. Physiother. Res. Int., 20: 220–230. doi: 10.1002/pri.1562.

A CLEAR demonstration of what AI can now produce, and why transparent reporting, authentic clinical records, and clinician-led scholarship matter more than ever.

What might a submission-ready case report look like?

An AI-generated demonstration exploring guideline-concordant reporting.