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

Thursday 28th Jul 2022 @ SGT 15:00 - 17:00

Zoom | APAC

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


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:

  • Learn how regulatory bodies, healthcare professionals, industry and innovators are collaborating to provide patients with the information they need to consent, ethically, to the use of their data and the steps needed to facilitate consent, including -wide-scale public conversations about uses or potential uses of data in health research
  • Hear about engagement initiatives to inform or co-design the development of policies or governance practices relating to the uses of data in health research
  • Learn about the engagement or involvement of members of the public in governance decisions about data access and use. And the engagement or involvement of members of the public at different phases of research projects