Fiscal Year:
2001
Title:
Nosocomial infections: Automated typing and data mining
Agency:
HHS
Contract:
N/A
Award Amount:
$97,560.00
Abstract:
DESCRIPTION (provided by applicant): Nosocomial infections cause about 90,000
deaths annually in the U.S. and have an associated medical care cost of about
3.5 billion dollars. Despite being the fourth leading cause of death, there has
been limited development of rapid, integrated tools for determination of
outbreaks of hospital-acquired infections. The goal of the proposed research is
to test feasibility of development of software algorithms for identifying
clusters of bacteria involved in nosocomial infections. This will be
accomplished by creation of new algorithms for clustering bacterial fatty acid
composition data to detect infection clusters and through the creation of a
"data mining" algorithm to provide patient demographic information needed to
distinguish nosocomial outbreaks from community-acquired infections or
pseudo-outbreaks. These software algorithms will be integrated into the MIDI
Sherlock Microbial Identification System as a fully automated real-time
epidemiology tool. Hospital infection-control personnel will be able to use the
output to immediately implement infection control measures, and thus to reduce
the impact of nosocomial infections.
PROPOSED COMMERCIAL APPLICATION: NOT AVAILABLE
Principal Investigator:
Myron Sasser
Small Business Information at Submission:
MICROBIAL ID, INC.
115 BARKSDALE PROFESSIONAL CTR NEWARK, DE 19711
EIN/Tax ID:
510339655
DUNS:
N/A
Number of Employees:
N/A
Woman-Owned:
No
Minority-Owned:
No
HUBZone-Owned:
No