Biomedical subjects

L Alpay

Publications and source records attributed to L Alpay.

4 recordsLinked to original sources

PubMed1998

Challenges for delivering healthcare education through telematics.

Within the context of the education of professional healthcare providers, the authors give an overview of the challenges faced by those wishing to introduce telematics as both a mechanism for content delivery and as subject content itself. After presenting a brief overview of the current state of telematics applications to healthcare education, focusing on the European sphere, the authors outline the challenges before discussing the collaborative and communicative issues in detail. The authors conclude by suggesting that, while the authors believe that telematics is a necessary direction for the future development of healthcare education for professionals, the collaboration and communication challenges are of greater importance than the technical and policy challenges and that there is a need to educate the majority of educators, based in the experiences of the enthusiasts.

Communication↗

PubMed1998

Investigating a concept-based tool to enhance the process of curriculum development: an example for healthcare education.

This paper reports on a first exploration carried out in the CoMET (COncept Modelling Environment for Teachers) project to investigate the educational potential of a concept-based toolkit developed in the GALEN project. In particular, on whether such tools can offer a basis to support and enhance healthcare curriculum development. We first adapted part of the toolkit by developing a front-end user friendly interface to access the conceptual knowledge. We then collected data from an empirical study. Preliminary results suggest that the concept-based approach of the CoMET tools is viable and has several potential benefits for educational activities. Directions for further work in the use of the concept-based tool for teaching as well as learning are also discussed.

Artificial Intelligence↗

PubMed1995

Toward a medical linguistic knowledge base.

This paper presents the design of a Medical Linguistic Knowledge Base (MLKB). This MLKB is intended to be the multilingual recipient for all the declarative knowledge about languages. It includes words, their syntax and their conceptual representation, typology of concepts of the domain, rules for semantic analysis and conceptual schemata. For that purpose, Sowa's conceptual graphs are considered as an adequate knowledge representation. The MLKB will be an enormous body of information, and the difficulty to feed it and to validate it appears immediately. Therefore, it is necessary to start an international initiative to merge efforts from different groups.

Language↗

PubMed1993

Modelling for natural language understanding.

Natural Language Understanding (NLU) is a rapidly growing field in medical informatics. Its potential for tomorrow's applications is important. However, it is limited by its ability to ground its components on a solid model of the domain. This opens the way for the emergence of the discipline of medical domain modelling, as part of the vast field of Knowledge Base (KB) engineering. This article aims at describing the current development of a multilingual natural language system, strongly oriented towards the semantics of the domain. Special emphasis is presently given to the task of building a domain model, and to establish direct links with the language platform. The result is a model-driven NLU system. Numerous benefits are expected in the long term.

Artificial Intelligence↗