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Using Ambulatory Syndromic Surveillance Data for Chronic Disease: A BMI Case Study
Author(s) -
Andrew Walsh
Publication year - 2015
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v7i1.5723
Subject(s) - medicine , ambulatory , disease , outbreak , ambulatory care , data collection , medical emergency , health care , intensive care medicine , data science , data mining , computer science , pathology , statistics , mathematics , economics , economic growth
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.

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