An approach to enrich online medical Problem-Based Learning with tacit healthcare knowledge

Yu-N Cheah¹, Faridah Abdul Rashid, Syed Sibte Raza Abidi

¹Health Informatics Research Group, School of Computer Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia. yncheah@cs.usm.my

Studies in Health Technology and Informatics

|December 11, 2003

Abstract:

Existing Problem-Based Learning (PBL) problems, though suitable in their own right for teaching purposes, are limited in their potential to evolve by themselves and to create new knowledge. Presently, they are based on textbook examples of past cases and/or cases that have been transcribed by a clinician. In this paper, we present (a) a tacit healthcare knowledge representation formalism called Healthcare Scenarios, (b) the relevance of healthcare scenarios in PBL in healthcare and medicine, (c) a novel PBL-Scenario-based tacit knowledge explication strategy and (d) an online PBL Problem Composer and Presenter (PBL-Online) to facilitate the acquisition and utilisation of expert-quality tacit healthcare knowledge to enrich online PBL. We employ a confluence of healthcare knowledge management tools and Internet technologies to bring tacit healthcare knowledge-enriched PBL to a global and yet more accessible level.

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Abstract:

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