Paralysis Analysis: Investigating Paralysis Visit Anomalies in New Jersey
DOI:
https://doi.org/10.5210/ojphi.v5i1.4441Abstract
The NJ Department of Health's syndromic surveillance system developed an algorithm to categorize heat-related illness (HRI) based on a patient's chief complaint during an emergency room visit, then matched these data with subsequent Uniform Billing (UB) diagnosis data. The overall sensitivity of the algorithm was 16% and the positive predictive value was 40%. Evaluation of a major heat event found both the sensitivity and positive predictive value increased to about 23% and 60%, respectively. While the HRI algorithm was relatively insensitive, sensitivity improved during major heat events and all excursions in HRI were identified using chief complaint data.Published
2013-03-23
How to Cite
Hamby, T., Tsai, S., Genese, C., Walsh, A., Bradford, L., & Lifshitz, E. (2013). Paralysis Analysis: Investigating Paralysis Visit Anomalies in New Jersey. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4441
Issue
Section
Poster Presentations