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Bio statementTAHA A. KASS-HOUT, MD, MS: Dr. Taha Kass-Hout has over 12 years of experience in health, public health, and informatics, and has led research and development initiatives, critical assess-ment of new and emerging health IT technologies, and development of new capabilities and solutions in health and public health for federal, state, commer-cial, and international health organizations. In 2005, Dr. Kass-Hout served as a Senior Medical Advisor to the United States’ Nationwide Health Information Network (NHIN) Prototype. During the response to the 2003 SARS outbreak, Taha led the US informat-ics and information task at the US National Center for Infectious Diseases at the Centers for Disease Control and Prevention (CDC). Taha holds memberships in several professional (na-tional, and international) societies, has published in several peer-reviewed journals, presented at numer-ous national and international forums, and was in-vited guest speaker at various health and policy events. Taha holds Doctor of Medicine and Master of Science (Biostatistics) degrees, with clinical training at Harvard's Beth Israel Deaconess Medical Center and University of Texas Health Sciences Center at Houston. ConferencesAttended Medicine 2.0'08 (Toronto, Canada) Accepted AbstractsMedicine 2.0'08 (Toronto, Canada)Biosurveillance 2.0: A Social Networking Approach While not an entirely new concept, biosurveillance has been gaining importance in the modern world. In recent history, the geographic isolation between plants and animals has been gradually broken by the intentional or natural transport of organisms through human travel, tourism or trade. Today, the rate at which species are moving between different bio-geographic regions is unprecedented, resulting in adverse ecological, economic, and human health consequences. Additionally, global environm... Medicine 2.0'09 (Toronto, Canada)InSTEDD Evolve: a Collaborative Approach to Disease Detection, Monitoring and Response Over the last decade, the majority of the designs, analyses and evaluations of early detection (or biosurveillance) systems have been geared towards specific data sources and detection algorithms. Much less effort has been focused on how these systems will "interact" with humans. For example, consider multiple domain experts working at different levels across different organizations in an environment where numerous biosurveillance algorithms may provide contradictory interpretations of... |
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