Using Digital Health Data to Improve Outcomes at a Population Level

We live in a world where the use of consumer devices like smartwatches and health smartphone apps is hugely widespread. The health measures and behavioral data gathered from these give us a vast amount of valuable information that can be used in predictive analytics for population medicine. This data combined with existing clinical records and socioeconomic traits has a great potential to identify at-risk patient cohorts, which enables timely personalized interventions leading not only to improved health outcomes, but also reduced costs for payers and healthcare systems. Join this meeting to have an informal conversation on: