Developing Real-Time Situational Awareness Data Grid: Implementing a Data Grid leveraging secure reliable transport, clustered node data sets using existing open source and concepts utilized by the Public Health Information Network (PHIN)

Currently, the Public Health Information Network already represents a loosely coupled Data Grid of sorts.  While, within its current implementation, there exists a number of services and components that allows an organization to quickly connect and share data, which is of large part a publication model (from a messaging partner perspective), the natural next step is to move towards a model where data publication and subscription capabilities can be better utilized such that, health professionals can take advantage of Real-Time Situational Awareness by enabling the following:

  * Real-Time clustered search across cities, states, and tribal health organizations

  * Organize data to a scope beyond HL7 formatted data which includes data that can be in a “natural form” such as MS Word Documents, XML, PDF’s, Excel Spread-sheets, etc. 

  * Dynamically add, update and remove services and applications to group(s) of nodes. Additionally, services and applications needed to analyze these data sets may exceed the scope

     and possible capabilities of most web services that primarily operate on data contain within databases.

  * Significantly simplify the security infrastructure, deployment and maintenance

To that end, this presentation will demonstrate a solution that will incorporate the following:

Data Grid: The Architecture

  * Network Topology: Connecting Devices

  * PKI (Security)and Access Control Simplified

  * Secure and Reliable Exchange of:

     - Data

     - Applications and Services [Underscores (SOA)]

Secure Data

  * Defining Data Taxonomy and Access Control

  * Clustered Search

  * GIS Visualization

Distribution

  * Packaging and Deploying

  * Support Model

Open Source (Proof of Concept) Demonstration

The results of the above will reveal a solution that can be deployed to all levels of organizations as well as, reduce cost in regards to operations and deployments while, greatly enhancing the heath professional’s capabilities to receive, monitor, report and analyze data.