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SIGNAL-BASED ANALYSIS OF CLINICAL MICROBIOLOGY

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
60439
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
AI048332
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Vecna Technologies Inc.
6404 Ivy Lane Suite 500 Greenbelt, MD -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2002
Title: SIGNAL-BASED ANALYSIS OF CLINICAL MICROBIOLOGY
Agency: HHS
Contract: 2R44AI048332-02
Award Amount: $0.00
 

Abstract:

Hospital infections and antimicrobial resistance are scourges of modern society, affecting several million Americans annually and wasting billions of dollars. Timely, accurate data analysis is critical to preventing the spread of infection and resistance. Preliminary results show that treating clinical microbiology data as signals and applying various analytical techniques to them has tremendous potential to improve the detection of outbreaks and shifts in resistance early on, while the possibility for effective intervention still exists. Building on these results, this research aims to fully characterize at least five years of historical microbiology data from three prominent hospitals. This will be used as training data to optimize early detection techniques through the use of genetic algorithms (GAs) using a Linux supercomputing cluster. Surveys will be conducted of the infection control personnel before and after a one year trial of an early prototype real-time monitoring system to determine the impact such a system has on their ability to prevent the spread of infectious disease. Success will be measured by the survey results as well as by the number of outbreaks detected in a timely manner. This research will extend the scientific understanding of GAs, infectious disease surveillance, and cluster detection.

Principal Investigator:

Daniel A. Theobald
3018647253
THEO@VECNA.COM

Business Contact:

Daniel Theobald
3018647253
THEO@VECNA.COM
Small Business Information at Submission:

VECNA TECHNOLOGIES, INC.
VECNA TECHNOLOGIES, INC. 6525 BELCREST ROAD, STE 612 HYATTSVILLE, MD 20782

EIN/Tax ID: 522152399
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No