A knowledge creation info-structure to acquire and crystallize the tacit knowledge of health-care experts.
Tacit knowledge of health-care experts is an important source of experiential know-how, yet due to various operational and technical reasons, such health-care knowledge is not entirely harnessed and put into professional practice. Emerging knowledge-management (KM) solutions suggest strategies to acquire the seemingly intractable and nonarticulated tacit knowledge of health-care experts. This paper presents a KM methodology, together with its computational implementation, to 1) acquire the tacit knowledge possessed by health-care experts; 2) represent the acquired tacit health-care knowledge in a computational formalism--i.e., clinical scenarios--that allows the reuse of stored knowledge to acquire tacit knowledge; and 3) crystallize the acquired tacit knowledge so that it is validated for health-care decision-support and medical education systems.
Abidi
Syed Sibte Raza
SS
Faculty of Computer Science, Dalhousie University, Halifax, NS B3H IW5, Canada. sraza@cs.dal.ca
Cheah
Yu-N
YN
Curran
Janet
J
D001185:Artificial Intelligence; D003695:Delivery of Health Care / Q000458:organization & administration*; D019451:Information Management; D008296:Malaysia