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Epidemic Surveillance Using An Electronic Medical Record: An Empiric Approach To Performance Improvement, Hongzhang Zheng, Holly Gaff, Gary Smith, Sylvain Delisle

Biological Sciences Faculty Publications

BACKGROUNDS: Electronic medical records (EMR) form a rich repository of information that could benefit public health. We asked how structured and free-text narrative EMR data should be combined to improve epidemic surveillance for acute respiratory infections (ARI).

METHODS: Eight previously characterized ARI case detection algorithms (CDA) were applied to historical EMR entries to create authentic time series of daily ARI case counts (background). An epidemic model simulated influenza cases (injection). From the time of the injection, cluster-detection statistics were applied daily on paired background+injection (combined) and background-only time series. This cycle was then repeated with the injection shifted to each …