Abstract
As a major contributor and user of healthcare knowledge, the healthcare enterprise requires intelligent knowledge management strategies to effectively exploit expert-quality healthcare knowledge. In this paper, we discuss a novel knowledge acquisition and representation strategy using healthcare scenarios. This strategy is complemented with an ontology- or thesaurus-based input standardization mechanism to limit the diverse nature of the healthcare experts’ input. We also present in detail an algorithm for healthcare knowledge crystallization that, in addition to simulating the process of annealing, employs the notion of nucleation and growth on healthcare knowledge. The crystallized knowledge potentially undergoes a repair process that employs analogical reasoning to identify less useful knowledge and transform them, with the aid of more established knowledge, into useful ones. We conclude by asserting that the strategies presented do provide an all-rounded approach in our efforts to bring quality healthcare knowledge and services to the masses.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
