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Government outlines action to make UK a world leader in tackling ethnic and other biases in medical devices.
Guidance on choosing evaluation study types and methods.
How to use a quasi-experimental study to evaluate your digital health product.
How to use a randomised controlled trial to evaluate your digital health product.
Why it's important to evaluate digital health products that have been developed rapidly and how to choose evaluation methods in these circumstances.
How to use an interrupted time series to evaluate your digital health product.
How to use a case-control study to evaluate your digital health product.
How to use feedback from marketplace reviews to evaluate your digital health product.
Case study from Holistic AI.
Case study from Armilla.
Case study from Trilateral Research.
How to prepare and analyse the data you collected for your evaluation.
Weights & Biases provides an MLOps platform to help organisations gain auditable and explainable end-to-end machine learning workflows for reproducibility and governance.
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