Published on in Vol 7, No 1 (2015):

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

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

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

Authors of this article:

Andrew Walsh
The full text of this article is available as a PDF download by clicking here.

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.