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A hierarchical framework for population health surveillance: A dashboard approach
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Journal of Health & Medical Informatics

ISSN: 2157-7420

Open Access

A hierarchical framework for population health surveillance: A dashboard approach


2nd International Conference on Health Informatics and Technology

July 27-29, 2015 Valencia, Spain

Julie M Kapp, Mihail Popescu and Eduardo J Simoes

ScientificTracks Abstracts-Workshop: J Health Med Informat

Abstract :

The Institute of Medicine (IOM) recently recommended a set of core metrics in an effort to improve data harmonization for the U.S. population health system and lay the foundation to measure performance improvement. Even with a set of common metrics, it is challenging to evaluate the effectiveness of population health initiatives dues to the many community-based organizations, and their complex interactions. The term â??Complex Adaptive Systemsâ?? (CAS) acknowledges that health programs and activities are part of larger networks of stakeholders with histories and evolving dynamics. Systems engineering considers how components within the larger CAS structure operate and interact over the life cycle of the system; and how to optimize the design, implementation, and evaluation of that system. We proposea hierarchical systems framework, using a dashboard approach, in order to monitor U.S. population health progress with five system components: context, components, connections, infrastructure, and scale. The framework aligns and integratesmetrics across local (organization, hospital, city), regional, state, and national levels for data visualization and decision-making. Each metric may be computed in various ways to allow for noise, depending on the available data, and its result propagated and integrated at the higher level. Our pilot uses an obesityexample. We compute obesity levels from various data sources at the local, regional (Boone County), and state levels in Missouri, USA. After data harmonization, metrics dynamics measures (decrease, rate of decrease, etc,) can be used to evaluate the impact of health programs implemented in Boone County.

Biography :

Julie M Kapp, MPH, PhD is an Associate Professor with a background in public health and evaluation. Her faculty appointments have included notable roles, such as: Executive Director of the Health and Behavioral Risk Research Center, Margaret Proctor Mulligan Faculty Scholar, and Executive Director of the Partnership for Evaluation, Assessment, and Research. She has served as an NIH grant reviewer, an Associate Editor for BMC Cancer, and a journal reviewer for such notable titles as Cancer, International Journal of Cancer, and The Lancet. She recently completed a year-long Malcolm Baldrige Executive Fellows Program focused on aligning and integrating systems.

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Citations: 2700

Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report

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