CDC selects ChoiceMakers AI-based solution for NEDSS

Published 19 December 2005

Developer of artificial intelligence-based database management tool selected for CDC project to track bioterror attacks and infectious diseases

Atlanta, Georgia-based Centers for Disease Control and Prevention ( CDC ) has selected New York-based ChoiceMaker Technologies, supplier of record-matching software, for use with the National Electronic Disease Surveillance System ( NEDSS ) applications which CDC is currently developing. ChoiceMaker’s patented artificial intelligence-based software will be embedded in the PAM Development Platform, a CDC-built NEDSS product. These applications will be made available for deployment for all fifty states, as well as several U.S. territories in the next few years, and will play a role in improving the nation’s ability to identify and track emerging infectious diseases and potential bioterrorism attacks. Scott Danos, the NEDSS Project Lead Public Health Analyst at CDC, said, “We intend to standardize on ChoiceMaker as the record matching system of choice throughout the NEDSS platform.”

When applied to the national health registry, ChoiceMaker’s software ensures that false alarms are not raised due to duplicate reports of the same case. In the event of an emergency, it would be critical that public health professionals have a clean list of those affected, so as not to waste time on multiple interventions with the same individual. NEDSS requires a deployment at many sites and integration with many different middleware platforms, databases, and hardware configurations. CDC reports that in the event of a major epidemic, the system must be able to handle millions, or even tens-of-millions of records. These requirements are met by ChoiceMaker’s high-speed algorithms, cross-platform Java technology, and EJB and Web Services interfaces.

-read more about the features of ChoiceMaker’s solution at company Web site