title: Knowledge representation of critical laboratory results in using the SAGE framework and challenges to its implementation.
abstract: When a laboratory result is abnormal, the Computerized Critical Laboratory Results Alerting System should notify clinicians promptly. Use of this system can decrease the length of time spent in life-threatening situations, the average length of stay and the cost. 10 criteria oriented not to the individual but to a large number of patients were defined, these criteria were encoded using the SAGE framework. This type of modeling is utilized to validate a knowledge converter that converts the SAGE output to a knowledge engine.
authors.affiliation: R&D Center for interoperable EHR, Seoul, Korea.
authors.forename: Jae Hyun
authors.initials: JH
authors.lastname: Lee
authors.forename: In Sook
authors.initials: IS
authors.lastname: Cho
authors.forename: Kyoung Un
authors.initials: KU
authors.lastname: Park
authors.forename: Jeong Ah
authors.initials: JA
authors.lastname: Kim
authors.forename: Yoon
authors.initials: Y
authors.lastname: Kim
authors.forename: Kyu Seob
authors.initials: KS
authors.lastname: Ha
mesh_terms: D000465:Algorithms; D002984:Clinical Laboratory Information Systems / Q000458:organization & administration*; D019411:Clinical Laboratory Techniques; D003422:Critical Care / Q000379:methods*; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D007723:Korea; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D009323:Natural Language Processing; D009626:Terminology as Topic