Using Ambulatory Syndromic Surveillance Data for Chronic Disease: A BMI Case Study
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How to Cite

Walsh, A. (2015). Using Ambulatory Syndromic Surveillance Data for Chronic Disease: A BMI Case Study. Online Journal of Public Health Informatics, 7(1). https://doi.org/10.5210/ojphi.v7i1.5723

Abstract

Ambulatory practice syndromic surveillance data needs to demonstrate utility beyond infectious disease outbreak detection to warrant integration into existing systems. The nature of ambulatory practice care makes it well suited for monitoring health domains not covered by emergency departments. This project demonstrates collection of height and weight measurements from ambulatory practice syndromic surveillance data. These data are used to calculate patient BMI, an important risk factor for many chronic diseases. This work is presented as a proof-of-principle for applying syndromic surveillance data to additional health domains.

https://doi.org/10.5210/ojphi.v7i1.5723
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