News | September 13, 2007

New Data Mining Software May Help Reduce Hospital-Acquired Infections

September 14, 2007 – A press conference on patient safety and healthcare quality initiatives at the National Press Club in Washington, D.C., featured a data mining and artificial intelligence system that helps hospitals rapidly identify hospital-acquired infection hot spots within hospitals.
Each year more than 2 million people contract an infection during a hospital stay. Those infections add an average of more than $15,000 to a patient’s hospital bill, amounting to more than $30 billion a year. A new provision by the Center for Medicare and Medicaid Services (CMS) denies further payment to fix hospital-acquired conditions and identifies medical errors for which Medicare will no longer pay, including pressure ulcers, vascular catheter-associated infections, and hospital-acquired injuries.
Cardinal Health’s MedMined Data Mining Surveillance has helped hospitals reduce their infection rates by as much as 40 percent in one year. Its data mining, artificial intelligence, and algorithmic technologies free many hospital infection control professionals from the resource-demanding process of manual search. The MedMined service provides them with the actionable, real-time information they need to curb an HAI crisis and develop process improvements do they do not reoccur.
The Blue Cross and Blue Shield Association presented the “Quality and Safety in Healthcare: Results through Shared Commitment” press conference. It explored the innovative ways insurers and providers are working together to improve healthcare quality and patient safety.

Related Content

Videos | Enterprise Imaging | December 14, 2018
ITN Editor Dave Fornell and ITN Contributing Editor Greg Freiherr share their insights on the vendors highlighting EI
RADxx Announces 2nd Annual Award Winners for Outstanding Leadership in Medical Imaging Informatics
News | Radiology Business | December 14, 2018
RAD Women (#RADxx), a networking group for the advancement of women in imaging informatics, recently announced the...
Videos | Artificial Intelligence | December 13, 2018
ITN Editor Dave Fornell and ITN Contributing Editor Greg Freiherr share their insights on the vendors showing AI prod
FDA Clears iCAD's ProFound AI for Digital Breast Tomosynthesis
Technology | Mammography | December 07, 2018
iCAD Inc. announced clearance by the U.S. Food and Drug Administration (FDA) for their latest, deep-learning, cancer...
YITU Releases AI-Based Cancer Screening Solutions at RSNA 2018
News | Artificial Intelligence | December 06, 2018
Chinese artificial intelligence (AI) healthcare company YITU healthcare released two brand-new products, Intelligent...
Veterans Integrated Service Network 19 Implements System-Wide Radiation Dose Monitoring
News | Radiation Dose Management | December 04, 2018
Agfa HealthCare announced it has collaborated in delivering a system-wide DoseMonitor automated software implementation...
ScreenPoint Medical and Volpara Partner to Bring AI to Breast Imaging Clinics
News | Computer-Aided Detection Software | December 04, 2018
ScreenPoint Medical has signed a memorandum of understanding (MOU) with Volpara Health Technologies. Volpara will...
Infervision Introduces AI Capabilities for Chest CT Reading
Technology | Computer-Aided Detection Software | November 30, 2018
Big data and artificial intelligence (AI) company Infervision announced the launch of InferRead CT Chest, a new product...
University of Utah Health Radiologists Select Philips Illumeo for Adaptive Intelligence
News | Artificial Intelligence | November 30, 2018
At the 2018 Radiological Society of North America (RSNA) Annual Meeting, Philips announced radiologists at the...