How to ensure quality evidence generation for data-driven technologies?

The exponential growth of digital health products and therapeutics is engendering novel ways of producing evidence using rich sources of data.

This webinar will explore evidence generation for data-driven technologies in health care, discussing with leaders in this field how companies can work with health care providers in sustainable ways to evaluate and monitor digital health products, including those leveraging artificial intelligence.

If RCTs are not always appropriate or feasible for rapidly evolving digital health products, what types of real-world evaluation and data monitoring should health systems and regulators be looking to establish to provide assurance to clinicians, carers and patients about safety and efficacy? What examples of best practice already exist and can be built upon?

Chair:

Jean Ledger, Research and Evaluation Lead - Digital First Primary Care, NHS England and Research Fellow, UCL

Contributors:

Jessica Morley, Policy Lead Evidence-Based Medicine DataLab, University of Oxford

Kassandra Karpathakis, Head of AI Strategy at the NHS AI Lab, NHSX

Carmelo Velardo, Senior Research Fellow, Sensyne Health