IntelliSpace Epidemiology Information system

IntelliSpace Epidemiology

Information system

Find similar products

Our first system to combine live clinical informatics with genetic fingerprinting of bacterial pathogens, Philips IntelliSpace Epidemiology supports your efforts to contain and eliminate healthcare-associated infections (HAI). Powerful analysis tools combine with an easy-to-read interface and partially automated workflow to enhance the effectiveness of infection control professionals.

Features
Identify HAI transmissions and rule out pseudo-clusters

Identify HAI transmissions and rule out pseudo-clusters

IntelliSpace Epidemiology overlays the patient's clinical information with the pathogen's genomic information to help unambiguously identify transmission events and rule out pseudo-clusters, saving time and wasted mitigation efforts.
Identify antimicrobial resistance trends

Identify antimicrobial resistance trends

On-demand, customizable, real-time antibiogram helps you detect and track bacterial resistance patterns across time and space.
Enhance the effectiveness of the IP team

Enhance the effectiveness of the IP team

IntelliSpace Epidemiology automatically collects data from hospital systems, such as ADT, laboratory information systems and pathogen genomic sequencing then organizes and displays the infection prevention/control teams need to investigate possible HAI transmissions and rule out pseudo-clusters.
Ease your workflow

Ease your workflow

Advanced algorithms find and highlight possible infection clusters, organizing and automating your infection control workflow.
Stop the spread

Helping you stop the spread of HAI

IntelliSpace Epidemiology’s advanced algorithms find and highlight possible infection clusters and facilitates identification of common associations between patients that may contribute to spread of infection.
  • 1 Agency for Healthcare Research and Quality 2009
  • 2 Reed D, Kemmerly S.A. “Infection Control and Prevention: A Review of Hospital-Acquired Infections and the Economic Implications.” The Oshsner Journal. 2009: 9(1), 27-31.