Public health affinity domain: A standards-based surveillance system solution

Boaz Carmeli, Tzilla Eshel, Daniel Ford, Ohad Greenshpan, James Kaufman, Sarah Knoop, Roni Ram, Sondra Renly

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationIntelligence and Security Informatics
Subtitle of host publicationBiosurveillance - Second NSF Workshop, BioSurveillance 2007, Proceedings
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783540726074
StatePublished - 2007
Event2nd NSF BioSurveillance Workshop, BioSurveillance 2007 - New Brunswick, NJ, United States
Duration: 22 May 200722 May 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4506 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd NSF BioSurveillance Workshop, BioSurveillance 2007
Country/TerritoryUnited States
CityNew Brunswick, NJ

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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