NACDA at CPIS-19 in Amsterdam!

 

The NACDA Director will be presenting at the 2nd International Conference on Performance Indicators in Business and Social Science Research (CPIS-19) in Amsterdam, Netherlands on August 3-4, 2019.

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Check out the abstract here:

 

Population Health Models: Integrating Social Science, Medical, and Business Information to Improve Affordable Health Outcomes

The provision of high-quality healthcare to all citizens is a central goal of all national governments. This task crosses multiple multidisciplinary boundaries, including medical and social sciences, economic and business models, and computer data management. A new model “Population Health” seeks to address these needs and provide researchers, policy specialists, and care providers with new tools to ensure better health outcomes for all people. Reframing Kindig and Stoddart (2003), “Population Health” is defined as the collection, organization, and aggregation of health data across multiple information platforms and technology resources. The analysis of these data into a unified, interoperable data files can lead to improvements in social, clinical, and economic decisions resulting in the improved health of an entire human population.
 
NACDA identifies and organizes primary sources of data associated with Population health research:
1) Behavioral and Social Research Data
2) Biomedical Data
3) Genomic Data 
4) Electronic Health Records (EHR) 
5) Insurance and Other Costs of Care 
 
NACDA currently manages one of nation’s largest repositories of longitudinal BSR health and socioeconomic data including surveys, administrative records, geographic/contextual resources, and biodemographic information. This presentation will address the acquisition and management of data that are amenable for the measurement of population health. These data can cover a broad range of contextual, geographic, administrative, and local level resources that fit within the broad Social Determinants of Health (SDOH) model. As research continues to suggest that genetic and biological factors account for only a modest fraction of health and longevity outcomes, there is ongoing demand for geographic, community and contextual information that can be introduced into studies to control for environmental and external factors. The presentation will identify the data resources required to develop preliminary population health models and how these kinds of data resources can be developed regionally to improve health outcomes. 
 

We hope to see you there!
 

Jul 22, 2019

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