Syndromic surveillance requires reliable, accurate, and complete healthcare encounter data to assess patterns of illness and respond to public health events. Illinois implemented syndromic surveillance statewide in response to Meaningful Use reporting objectives. To address the need for continuous, automated assessment following initial on-boarding of facility Emergency Department data, we developed an R script to assess the quality of data in the private BioSense locker database.
This script builds upon and adapts from scripts previously developed for syndromic surveillance and data quality assessment.
To describe an R script developed to assess and produce reports on data quality in the BioSense locker database.