Accelerating the use of quality and trustworthy data in the health and life sciences sector

Thursday 26th May 2022 @ GMT 14:00 - 16:00

Zoom | UK

Ensuring the deployment of safe, ethical and trustworthy AI standards, while promoting patient trust, developer certainty and user confidence.

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What is a DLF event

The Digital Leadership Forum is a membership community of innovative digital leaders from world leading brands. Each month we host interactive knowledge-sharing sessions for our members where you can share experiences and gain fresh insights to drive your digital transformation strategies.

About the event

Quality healthcare data is critical to the development of effective AI in healthcare solutions and applications. Patients are in a key position, not only as generators and recipients of the potential benefits of health-related data science but also in sourcing and providing quality data that helps minimise bias inherent in healthcare data.

Research and recent controversies show that if patients understand the life-saving benefits of the use of their data in healthcare for critical aspects such as drug safety, developing predictive models used for early diagnosis and for examining links between social and behavioural factors and health outcomes, then they are far more likely to support these uses and to provide consent.

Empowering patients clearly requires effective public involvement and engagement in data health research.

Join this session to hear about:

  • NPL’s pioneering work on data quality metrology and assurance, and how to avoid complexity in AI;
  • Recent research findings on current use of health data in Europe
  • Our expert panel’s views on the essentials for rapid progress of safe and trustworthy adoption of AI in health and life sciences


Annabelle Richard


Pinsent Masons

Lara Groves


Ada Lovelace Institute

Sundeep Bhandari

Strategy Manager

National Physical Laboratory

Maya Carlyle

Principal Enterprise Architect

National Physical Laboratory