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Kentucky Statewide Food Animal Health Risk Surveillance and Disease Cluster Detection Initiative
Carter, C. N., W. Northington, J.L. Smith
Livestock Disease Diagnostic Center
The overall goal of this project is to fully implement an integrated Kentucky-wide animal health information system that fuses diagnostic and farm-level syndromic health data streams from two full-service veterinary laboratories and the Office of the State Veterinarian (OSV). The integration of these data will aid animal health officials to manage day-to-day disease outbreaks, emerging diseases, and provide early detection of a possible agroterrorist event.
This will be accomplished by electronically processing all active clinical cases (over 200,000) from two laboratories through the new system for a period of two years to include accessioning, test order entry, test resulting, automated case reporting and data base archiving. At the close of business each day, a sophisticated statistical system will analyze important health events and reported syndromes which will generate alerts to key animal health officials regarding emerging diseases and clusters of disease. The system will also publish disease alerts and trends on the web for public access. All medical terminology utilized at the two laboratories will be mapped to an internationally-recognized standardized nomenclature, thereby allowing the seamless integration of multiple data bases for disease cluster and trend reporting.
This novel system will provide near-real time animal health situational awareness for farmers, practicing veterinarians, and state and federal animal health officials, thereby helping to conserve precious animal agricultural resources. The resultant system could become a model for the entire U.S.
2010 Project Description
A comprehensive test of the clinical case accessioning system, order entry and test resulting system was conducted. In addition, the LIMS case reporting and alerting systems related to statistical clusters of grazing animal disease events for laboratory clients, the State Veterinarian, the USDA, and the Kentucky Cabinet for Health and Family Services utilizing nomenclature and messaging standards adopted by the AVMA and the USDA for the NAHLN were also successfully tested. Finally, a web-based system was developed to allow for client-initiated access to clinical cases and laboratory test results.
The outputs listed above have the following impact on Kentucky agriculture:
- Timely and accurate reporting of animal health diagnostic testing results to veterinarians and farmers.
- Alerting of unusual/emerging animal health events to improve medical situational awareness for the purpose of mounting an appropriate and timely medical response.
- Better veterinarian access to clinical diagnostic testing information, both current and historical.
Carter CN, Vanzant E, Odoi A, Smith J, Dwyer R, Riley J, Stepusin R: Supercomputer-Based Animal Health Risk Forecasting, Proceed 147th American Veterinary Medical Association, July, 2010