The advance of health devices is giving the world greater capability to track physiological data and create new systems of personalized health. According to ABI Research, the total number of wearable devices with fitness and wellness applications in 2012 was 30m, a 37% growth from 2011. The market is expected to grow at an average rate of 41% per year, leading to 169.5m devices shipped in 2017. With the multiplication of data available across emerging channels, what are the opportunities and challenges facing the healthcare industry? How to analyze/ make sense of the data? What will the data tell us? What are the advantages and risks for individuals to rely on healthcare devices? Our highly qualified panelists, with deep expertise ranging from high level technical issues to user behavior, measurement and social insights will explore the future of the data-driven health era.
Ian Blumenfeld is a data scientist with expertise in building predictive models for health outcomes and the ramifications of intervention effects. He has a background in physics where he performed award winning research on complex plasma/electron beam interactions and the implications for next generation particle accelerators. Since the completion of his PhD he has been working at Archimedes Inc, a Kaiser Permanente Subsidiary, building outcomes models focused on Cardiovascular and Metabolic Diseases. His latest work is in the heart failure space, examining the predictors of recurrence and mortality in that population, as well as the cost-benefit of treatment.
Rachel Kalmar’s goal is to make sensor data both accessible and actionable. A Stanford neuroscience PhD, she is passionate about using data to explain, predict and influence behavior. She is active in the Bay Area hardware community and runs Sensored, a 1000+ person meetup group for people working on sensor devices and applications. Today she joins Health 2.0 demo the Misfit Bloom which combines fashion and function in health activity tracking.
Roger Magoulas is the director of market research at O'Reilly Media. Magoulas runs a team that is building an open source analysis infrastucture and provides analysis services, including technology trend analysis, to business decision-makers at O'Reilly and beyond. In previous incarnations, Magoulas designed and implemented data warehouse projects for organizations ranging from the San Francisco Opera to the Alberta Motor Club.