Identification of potential surgical site infections leveraging an enterprise clinical information warehouse

At The Ohio State University Medical Center (OSUMC), infection control practitioners (ICPs) need an accurate list of patients undergoing defined operative procedures to track surgical site infections. Using data from the OSUMC Information Warehouse (IW), we have created an automated report detailing...

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Bibliographic Details
Published in:AMIA ... Annual Symposium proceedings 2008-11, p.941-941
Main Authors: Santangelo, Jennifer, Erdal, Selnur, Wellington, Linda, Mekhjian, Hagop, Kamal, Jyoti
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Humans
Information Storage and Retrieval - methods
Medical Records Systems, Computerized - organization & administration
Natural Language Processing
Ohio
Pattern Recognition, Automated - methods
Risk Assessment - methods
Risk Factors
Sentinel Surveillance
Surgical Wound Infection - classification
Surgical Wound Infection - diagnosis
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Summary:At The Ohio State University Medical Center (OSUMC), infection control practitioners (ICPs) need an accurate list of patients undergoing defined operative procedures to track surgical site infections. Using data from the OSUMC Information Warehouse (IW), we have created an automated report detailing required data. This report also displays associated surgical and pathology text or dictated reports providing additional information to the ICPs.
ISSN:1559-4076