Knowledge representation of critical laboratory results in using the SAGE framework and challenges to its implementation.
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.
Lee
Jae Hyun
JH
R&D Center for interoperable EHR, Seoul, Korea.
Cho
In Sook
IS
Park
Kyoung Un
KU
Kim
Jeong Ah
JA
Kim
Yoon
Y
Ha
Kyu Seob
KS
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