TY - GEN
T1 - Public health affinity domain
T2 - 2nd NSF BioSurveillance Workshop, BioSurveillance 2007
AU - Carmeli, Boaz
AU - Eshel, Tzilla
AU - Ford, Daniel
AU - Greenshpan, Ohad
AU - Kaufman, James
AU - Knoop, Sarah
AU - Ram, Roni
AU - Renly, Sondra
PY - 2007
Y1 - 2007
N2 - The negative impact of infectious disease on contemporary society has the potential to be considerably greater than in decades past due to the growing interdependence among nations of the world. In the absence of worldwide public health standards-based networks, the ability to monitor and respond quickly to such outbreaks is limited. In order to tackle such threats, IBM Haifa Research Lab and IBM Almaden Research Lab developed a PHAD implementation which consists of an information technology infrastructure for the public health community leveraging the Integrating the Healthcare Enterprise (IHE) initiative and important standards. This system enables sharing of data generated at clinical and public health institutions across proprietary systems and political borders. The ability to share public health data electronically paves the way for sophisticated and advanced analysis tools to visualize the population health, detect outbreaks, determine the effectiveness of policy, and perform forecast modeling.
AB - The negative impact of infectious disease on contemporary society has the potential to be considerably greater than in decades past due to the growing interdependence among nations of the world. In the absence of worldwide public health standards-based networks, the ability to monitor and respond quickly to such outbreaks is limited. In order to tackle such threats, IBM Haifa Research Lab and IBM Almaden Research Lab developed a PHAD implementation which consists of an information technology infrastructure for the public health community leveraging the Integrating the Healthcare Enterprise (IHE) initiative and important standards. This system enables sharing of data generated at clinical and public health institutions across proprietary systems and political borders. The ability to share public health data electronically paves the way for sophisticated and advanced analysis tools to visualize the population health, detect outbreaks, determine the effectiveness of policy, and perform forecast modeling.
UR - http://www.scopus.com/inward/record.url?scp=37249068036&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-72608-1_14
DO - 10.1007/978-3-540-72608-1_14
M3 - Conference contribution
AN - SCOPUS:37249068036
SN - 9783540726074
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 147
EP - 158
BT - Intelligence and Security Informatics
PB - Springer Verlag
Y2 - 22 May 2007 through 22 May 2007
ER -