Making public health personal Using Data Science and Design Science

            Public health decisions involve formulating health policies and practices to prevent diseases and encourage wellness behaviors. They rely on data on health conditions for select segments of healthcare consumer populations or the public at large, and they use an understanding of the social and behavioral characteristics of these populations to diffuse the practices.  The rise of personalization (defined here as personal use of digital tools such as wearables, apps, etc.) is generating individualized health data that can, along with other data, help formulate public health policies and practices, and the same personalization can help customize practice recommendations for effective diffusion. Such connectivity of individuals to public health professionals through digital tools can provide tremendous opportunities for the field of public health and can make public health personal.  Fully recognizing that success or failure of public health is still based on the accuracy of the information gathered to formulate policies and practices and the effective diffusion of these practices by ensuring individual privacy, the goal of this workshop is to explore the role of data science and design science in making public health personal.

            Public health has always relied on aggregated data from multiple sources (city/county, state, and national organizations) to analyze health conditions of select segments of patient populations. It has analyzed the impact of environmental data on health at home, at work, and in the community in order to develop public health policies. With personalization generating significant health related data at a personal level, what role should it play in public health policy formulation?  In other words,

            How does data science that connects personalization and aggregate level data shape public health policy formulation?

            Public health policies have always used social and behavioral understanding of healthcare consumer communities in diffusing public health practices to support prevention and wellness. Such practices include public health messaging, diffusion strategies to improve consumer adherence to wellness behavior, and partnering with social and community organizations to tailor such strategies to address the needs of distinct patient segments. However, with improved personalization can these practices be designed for diffusion at an individual level?  In other words,

            How does design science that connects personalization and social determinants shape diffusion of public health practice?

            The workshop speakers and participants on April 24^th, prior to the 20^th anniversary of the Mel and Enid Zuckerman College of Public Health on April 25^th, will help us explore the role that data science and personalization may help shape the formulation of public health policies and design science and personalization may help diffuse public health practices to improve adherence.  

The speakers include (Legend: TBD is to be determined or finalized)

            Dr. Eric Lyons, BIO5 Institute and School of Planet Sciences, University of Arizona
                        Connecting Data Science Fellow Initiatives to Public Health

            Dr. Salim Hariri, College of Engineering, and Dr. Sumit Agarwal, College of Medicine – Phoenix
                        Siva – Leveraging IoT and AI to Address Patient Falls

            Dr. Kasey Ernst, College of Public Health and
                        TBD

            Dr. Patricia Haynes, College of Public Health and Dr. David Glickenstein, Dept of Mathematics
                        TBD

            Dr. Purnima Madhivanan and Dr. Karl Krupp, College of Public Health
                        Review of work that connects data science and public health

            Dr. Creig Heise, College of Medicine, U of Arizona-Phoenix (TBD)
                        TBD

            Dr. Sriram Iyengar, Department of Medicine, U of Arizona-Phoenix
                        Persuasive Technology: A conceptual framework for making Public health personal

            Dr. Eduardo Ganzalez and Dr. Mark Martz, College of Public Health
                        Exploring role of blockchain in diffusing public health practices

From outside

            Mr. Tyler Prentiss, Henry Ford Health System, Michigan (TBD)
                        Knowledge platforms for sharing practice knowledge – Case of AMR program

            Mr. Erik Eaker, Director, Experience Strategy and Transformation, Humana, Kentucky (TBD)

            Ms. June Simmons, CEO, Partners in Care Foundation, California
                        Role of Social Determinants in Diffusion Practices