Using Big Healthcare Data for ILI Situational Awareness in Georgia | Zendy

Joel Greenspan | Zendy; Silvia Valkova | Zendy

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Using Big Healthcare Data for ILI Situational Awareness in Georgia

Author(s) -

Joel Greenspan,

Silvia Valkova

Publication year - 2014

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v6i1.5193

Subject(s) - pharmacy , situation awareness , reimbursement , business , health care , big data , service provider , situational ethics , data science , service (business) , medicine , marketing , computer science , family medicine , data mining , psychology , political science , engineering , social psychology , law , aerospace engineering

We describe how high-volume electronic healthcare reimbursement claims from providers' offices and retail pharmacies can be used to provide timely and accurate influenza-like illness (ILI) situational awareness at state and CBSA levels. We focused on the 2006-2010 influenza seasons and the 39 CBSAs in the State of GA. A sufficient proportion of claims for services within any 7-day service period can be accumulated from both providers' offices and retail pharmacies to generate useful CBSA-level ILI metrics, dispelling the common perception that claims data accumulate too slowly to be useful for public health decision making in sub-state geographic areas.

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