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_3
Snippet: The obstacles largely center on information privacy and network security. A real-time surveillance system using diagnostic test results requires safeguards for protected health 105 information (PHI). Medical records and devices have become attractive targets for cyber attackers in recent years [44] , which has made hospitals and clinics reluctant to connect their Local Area Networks (LANs) to the Internet. Releasing patient test results requires .....
Document: The obstacles largely center on information privacy and network security. A real-time surveillance system using diagnostic test results requires safeguards for protected health 105 information (PHI). Medical records and devices have become attractive targets for cyber attackers in recent years [44] , which has made hospitals and clinics reluctant to connect their Local Area Networks (LANs) to the Internet. Releasing patient test results requires the removal of PHI or authorization from the patient. Studies have shown that de-identification of patient data is not as simple as removing all specific identifiers because, in the age of big data, under the right 110 circumstances it is possible to re-associate patients and their data using publicly available information [45] [46] [47] [48] .
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