Author: Lindsay Meyers; Christine C. Ginocchio; Aimie N. Faucett; Frederick S. Nolte; Per H. Gesteland; Amy Leber; Diane Janowiak; Virginia Donovan; Jennifer Dien Bard; Silvia Spitzer; Kathleen A. Stellrecht; Hossein Salimnia; Rangaraj Selvarangan; Stefan Juretschko; Judy A. Daly; Jeremy C. Wallentine; Kristy Lindsey; Franklin Moore; Sharon L. Reed; Maria Aguero-Rosenfeld; Paul D. Fey; Gregory A. Storch; Steve J. Melnick; Christine C. Robinson; Jennifer F. Meredith; Camille V. Cook; Robert K. Nelson; Jay D. Jones; Samuel V. Scarpino; Benjamin M. Althouse; Kirk M. Ririe; Bradley A. Malin; Mark A. Poritz
Title: Automated collection of pathogen-specific diagnostic data for real-time syndromic epidemiological studies Document date: 2017_7_31
ID: iisqysqm_35
Snippet: Public health agencies (PHAs), which include local and state health departments and the CDC, 480 are specifically exempt under an HIPAA provision that allows clinical laboratories to disclose PHI to the PHA for specified public health purposes [91] . The exemption includes follow up studies on reportable infectious diseases. Real-time pathogen specific syndromic surveillance systems such as Trend will allow state PHAs to more rapidly identify, ac.....
Document: Public health agencies (PHAs), which include local and state health departments and the CDC, 480 are specifically exempt under an HIPAA provision that allows clinical laboratories to disclose PHI to the PHA for specified public health purposes [91] . The exemption includes follow up studies on reportable infectious diseases. Real-time pathogen specific syndromic surveillance systems such as Trend will allow state PHAs to more rapidly identify, acquire, and test residual samples from potential outbreaks. Conversely, perceived "outbreaks" may actually be 485 coincidental multi-organism seasonal surges, and rapid analysis by Trend-like systems could prevent timely and costly outbreak investigation.
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