Synopsis
Population Health Informatics addresses the growing opportunity to use technology to implement evidence-based solutions for the improvement of population health outcomes. While most health informatics texts take a hospital-centric approach, this innovative new first edition focuses on how to operationalize informatics solutions to address important public health challenges impacting individuals, families, communities, and the environment in which they live. Population Health Informatics uses a practical, step-by-step approach to implement evidence-based, data- driven population informatics solutions. Perfect for students of public health and other interdisciplinary fields with an interest in population health informatics, this book fulfills a key component of the new Association of Schools and Programs of Public Health (ASPPH) recommendations for "Critical Content of the Core for a 21st Century MPH Degree.” Key Features • Demonstrates how technology can be used at the intersection of clinical care and health sciences to strengthen efforts for preventive care at the population level. • Offers practical coverage of critical topics such as big data, cloud computing, mobile health, surveillance, and visualization―all from the perspective of the end user using simple, reader friendly language. • Uses a grassroots approach to technology interventions and solutions, providing students with a clear understanding of how to address the needs of various health technology stakeholders.
About the Authors
Ashish Joshi is an Associate Dean of the CUNY Graduate School of Public Health and Health Policy and an Associate Professor of CUNY Institute for Implementation Science in Population Health. Dr. Joshi’s combined training in medicine, public health and informatics provides a unique combination to utilize innovative technology enabled interventions at the intersection of clinical care and population health. Dr. Joshi’s journey has been of an academician, applied researcher, administrator, innovator and an entrepreneur to implement Sustainable, Multi-sector, Accessible, Affordable, Reimbursable and Tailored (SMAART) technology solutions to address population health challenges of the 21st century. His research interest focuses on the design, development, implementation and evaluation of contextually relevant informatics interventions to enhance population health outcomes. Dr. Joshi utilizes combines principles of Social Cognitive Theory, Human centered deign, & Information processing theory to develop culturally relevant health technology solutions that can be adaptive to different settings, audiences and health conditions. Dr. Joshi has done several population health informatics projects in various countries including U.S., Nigeria, India, Brazil, and Haiti. His research related to mobile and internet enabled interventions, population based surveillance, consumer health informatics, and health dashboards have been widely funded by several National and International agencies.
Lorna Thorpe is Professor of Epidemiology and Director of the Epidemiology Division at the NYU School of Medicine in the Department of Population Health. Her current research focuses on improving modern forms of public health surveillance, as well as the intersection between epidemiology and policy, mostly with respect to chronic disease prevention and management.' Dr. Thorpe is on the Board of Directors for the American College of Epidemiology (ACE), has served on Institute of Medicine committees and as an advisor to the CDC on population health surveillance issues. Prior to joining academia, Dr. Thorpe spent 8 years at the New York City Department of Health and Mental Hygiene, serving as Deputy Commissioner of Epidemiology for much of that time.' Dr. Thorpe began her applied research career as a CDC Epidemic Intelligence Service (EIS) Officer in international tuberculosis (TB) control.' Dr. Thorpe completed her Ph.D. in epidemiology at the University of Illinois at Chicago, M.P.H. at University of Michigan, and B.A. at Johns Hopkins University.' She has lived and worked in Asia (China, Indonesia) and published widely on both chronic and infectious disease topics.
Levi Waldron completed his education at the University of British Columbia (Bsc), University of Waterloo (MSS), and the University of Toronto (PhD). After doing post-docs at the Ontario Cancer Institute and Harvard School of Public Health, he took a faculty position in biostatistics at CUNY. He is is a technical advisor to the Bioconductor open-source project for computational biology, and was a Fulbright scholar to Italy where he taught applied statistics for high-throughput biology. He continues to pursue interests in high-dimensional data analysis, particularly the development of databases and methods for integrating –comics data in cancer and microbiome research.'
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