21103 Creating a Model for the Network of Networks NHIN and PHIN

Tuesday, September 1, 2009: 2:10 PM
Courtland
Michael J. McGill, PhD , Internet2, Ann Arbor, MI
Dale alverson, MD , School of Medicine, University of New Mexico, Alberque, NM
Charles Magruder, MD, MPH , NCPHI, CDC, Atlanta, GA
larry flournoy, BS , Texas A&M, College Station, TX
Background
The Federal Communications Commission instituted a Rural Health Care Pilot Program (RHCPP) in November of 2007 and mandated support the CDC’s public health activities whenever feasible.  This RHCPP is investing up to $417M to build broadband infrastructure to rural institutions, connecting them with their urban counterparts and Internet2.   The goal is to improve the to delivery of quality health care, educational and research opportunities.  The FCC identified the need to support public health and to stay aligned with the HHS and Office of the National Coordinator for Health Information Technologies (ONC) activities.
Description
A combined Rural Health and Public Health group is identifying targeted manageable demonstration projects that address the interests and desired outcomes, document their implementation and evaluate the outcomes.
The first project is developing a model of the technical infrastructure that can be used as a representation of state, regional and national network of networks that support public health information exchange between hubs and local sites, including surveillance, early detection, analysis, and effective, efficient response.
Outcomes
The model will be used to demonstrate and evaluate the functionality, security, and reliability of the NHIN/PHIN under a variety of simulated scenarios, provide a means of iterative improvements through identification of points of failure or weaknesses, and allow testing to improve emergency preparedness and response.  
This project is creating a NHIN/PHIN network infrastructure model based on the data gathered and input from subject matter experts in public health, network engineering, health information exchange, surveillance, emergency response, situational awareness and consequence management.  The model allows for the simulation of scenarios that are potential real life emergency and/or disaster situations under various conditions and perturbations of the network infrastructure.  It will used to determine if there is adequate redundancy for disaster recovery and alternative pathways, adequate security, reliability, and quality of service.
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