title: Identification of potential surgical site infections leveraging an enterprise clinical information warehouse.
abstract: 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.
authors.affiliation: Ohio State University Medical Center, Columbus, OH, USA.
authors.forename: Jennifer
authors.initials: J
authors.lastname: Santangelo
authors.forename: Selnur
authors.initials: S
authors.lastname: Erdal
authors.forename: Linda
authors.initials: L
authors.lastname: Wellington
authors.forename: Hagop
authors.initials: H
authors.lastname: Mekhjian
authors.forename: Jyoti
authors.initials: J
authors.lastname: Kamal
mesh_terms: 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*