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 required data. This report also displays associated surgical and pathology text or dictated reports providing additional information to the ICPs.
Santangelo
Jennifer
J
Ohio State University Medical Center, Columbus, OH, USA.
Erdal
Selnur
S
Wellington
Linda
L
Mekhjian
Hagop
H
Kamal
Jyoti
J
D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D009323:Natural Language Processing; D009820:Ohio; D010363:Pattern Recognition, Automated / Q000379:methods*; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D018571:Sentinel Surveillance; D013530:Surgical Wound Infection / Q000145:classification* / Q000175:diagnosis*