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BALTIMORE--(BUSINESS WIRE)--June 20, 2005--

MedMined, Inc., a medical information technology company, today announced the presentation of three clinical studies that further demonstrate the ability of its Data Mining Surveillance(R) technology to identify and reduce hospital-acquired infections (HAIs). The abstracts are being presented at the Association for Professionals in Infection Control and Epidemiology (APIC) annual conference this week.

With an estimated 2 million patients each year acquiring infections while hospitalized, reducing the incidence of HAIs is a key patient safety issue. MedMined's Data Mining Surveillance combines ongoing electronic review and analysis of hospital data with clinical support and education tools that allow hospitals to identify and reduce the rate of HAIs. The system's Nosocomial Infection Marker (NIM(TM)) is a proven alternative to manual targeted surveillance, which has been shown to be inconsistently applied, calling into question the value of the information provided.

Abstracts and presentations at the APIC conference include:

Saint Francis Hospital, a 519-bed acute care facility in Memphis, Tenn., used data mining surveillance to identify a cluster of hospital-acquired E. coli urinary tract infections in the orthopedic and rehabilitation units. Subsequent investigation revealed practices in the emergency department that contributed to the problem. Nurse managers in the departments received analysis reports to review with staff, including a checklist of evidence-based practices to reduce urinary tract infections. Data mining allowed the facility to focus on department-specific process improvements, and E. coli infections were reduced to zero in the rehabilitation unit in the subsequent three-month period.

For more information, visit www.medmined.com.

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