We use a range of techniques including non-inferiority, before-after and observational study designs to evaluate devices for diagnostics, AI enabled tools and drugs.
Our team has strong expertise in clinical outcomes research, as well as incorporating and evaluating intermediate markers as surrogate outcomes for diagnostics.
The quantitative work is complemented and developed in tandem with insightful qualitative research in the form of focus groups and interviews with multiple stakeholders including patients and the public, healthcare professionals and clinical experts, manufacturers and commissioners.
We ensure that studies are executed according to SPIRIT and GCP guidelines. We collaborate with researchers from the School of Population Health Sciences and the School of Cancer and Pharmaceutical Sciences at King's College London to support data analysis.