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Tools for the Real-Time Assessment of a Pseudomonas aeruginosa Infection Model

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EpiPortal: an electronic decision support system for infection control.

David Wajngurt¹, Frank Hong, Rohit Chaudhry

¹Department of Biomedical Informatics, Columbia University, New York, NY, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|January 24, 2007

Summary

This study introduces an electronic hospital epidemiology decision support system designed for infection control professionals. The system uses standard components for flexibility and user control in infection prevention.

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Area of Science:

Hospital Epidemiology
Infection Control
Health Informatics

Background:

Effective hospital epidemiology relies on robust decision support systems.
Existing systems may lack flexibility or user control.
Infection control professionals (ICPs) require tailored tools for practice.

Purpose of the Study:

To describe the development of a comprehensive, electronic hospital epidemiology decision support system.
To highlight the system's adaptability and user-centric design for ICPs.
To emphasize the benefits of an open, vendor-independent approach.

Main Methods:

Utilizing off-the-shelf software components.
Adhering to accepted industry standards for interoperability.
Designing for ICP control and customization.

Main Results:

The system is comprehensive and electronic, supporting diverse users.
It is open, vendor-independent, and controlled by ICPs.
Development allows flexible adaptation to evolving infection control practices.

Conclusions:

An electronic decision support system built on open standards empowers ICPs.
Vendor independence and ICP control enhance system utility.
Flexible development ensures the system remains relevant to infection control.