Washington’s Methods for Analytics Interoperability and Metrics (AIM), Approaches to Data Integration and Dissemination in Population Health | Zendy

Bryant T. Karras | Zendy; Ali H. Mokdad | Zendy; Adam Aaseby | Zendy; Ian Painter | Zendy

Open Access

Washington’s Methods for Analytics Interoperability and Metrics (AIM), Approaches to Data Integration and Dissemination in Population Health

Author(s) -

Bryant T. Karras,

Ali H. Mokdad,

Adam Aaseby,

Ian Painter

Publication year - 2016

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v8i1.6395

Subject(s) - data science , analytics , big data , interoperability , population health , medicaid , computer science , public health , census , population , medicine , health care , data mining , environmental health , world wide web , political science , nursing , law

Healthier Washington's Innovation Plan leverages "big data" analytics to combine different data sources providing a local picture of health including geo-mapping at census tract level and hot-spotting disease burden estimates. These approaches ensure robust availability of information that enables communities to address health inequities through targeted initiatives to improve the health of those most in need, and effectively measure progress over time. Washington's State Medicaid program, Department of Health, and Public Health Seattle & King County are working with the University of Washington to inform best practices in application of these methodologies. This panel will review some approaches under consideration

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