Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
IHE: Integrating the Healthcare Enterprise, http://www.ihe.net/
Kaufman, J.H., et al.: From Regional to National Health Information Infrastructure. Perspectives in Health Information Management 2(10) (2005)
CDC: Centers for Disease Control, http://www.cdc.gov/
ELR: Electronic Laboratory Reporting, http://www.cdc.gov/nedss/ELR/index.html
NEDSS: National Electronic Disease Surveillance System, http://www.cdc.gov/nedss/
PHIN: Public Health Information Network, http://www.cdc.gov/phin/
XDS: Cross-Enterprise Document Sharing, http://www.ihe.net/Technical_Framework/index.cfm#IT
ebXML: Electronic Business using eXtensible Markup Language, http://www.ebxml.org/
SOAP: Simple Object Access Protocol, http://www.w3.org/TR/soap/
HL7: Health Level Seven, http://www.hl7.org
IHE Connectathon, http://www.ihe.net/Connectathon/index.cfm
IHE Europe, http://www.ihe-europe.org/
IHE Japan, http://www.ihe-j.org/en/
Eclipse OHF: Eclipse Open Healthcare Framework, http://www.eclipse.org/ohf
Eclipse, http://www.eclipse.org/
Ganta, S.R., et al.: The Eclipse Open Health Framework. In: HCTM 2006, 5th International Conference on the Management of Healthcare & Medical Technology (2006)
Mayo Clinic, http://www.mayo.edu/
Jiva Medical , http://www.jivamedical.com/
Inpriva , http://www.inpriva.com/
IBM , http://www.ibm.com/
STEM: Spatiotemporal Epidemiological Modeler, http://wiki.eclipse.org/index.php/STEM/
PHDSC: Public Health Data Standards Consortium, http://phdatastandards.info/
HITSP: Healthcare Information Technology Standards Panel, http://www.ansi.org/hitsp/
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Carmeli, B. et al. (2007). Public Health Affinity Domain: A Standards-Based Surveillance System Solution. In: Zeng, D., et al. Intelligence and Security Informatics: Biosurveillance. BioSurveillance 2007. Lecture Notes in Computer Science, vol 4506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72608-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-72608-1_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72607-4
Online ISBN: 978-3-540-72608-1
eBook Packages: Computer ScienceComputer Science (R0)