A collaborative medical case authoring environment based on the UMLS

Authors:
Siriwan Suebnukarn;Peter Haddawy;Phattanapon Rhienmora
Affiliations:
Thammasat University, Graduate School of Dentistry, Pathumtani 12121, Thailand;Asian Institute of Technology, School of Engineering and Technology, Pathumtani 12120, Thailand;Asian Institute of Technology, School of Engineering and Technology, Pathumtani 12120, Thailand
Venue:
Journal of Biomedical Informatics
Year:
2008

Citing 7
Cited 2

Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge

Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge
WebDAV: a network protocol for remote collaborative authoring on the Web

Proceedings of the Sixth European conference on Computer supported cooperative work
CARLOS: A Collaborative Authoring Tool for Reusable Learning Objects

DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Modeling individual and collaborative problem-solving in medical problem-based learning

User Modeling and User-Adapted Interaction
MedicoPort: A medical search engine for all

Computer Methods and Programs in Biomedicine
COMET: A Collaborative Tutoring System for Medical Problem-Based Learning

IEEE Intelligent Systems
A Bayesian approach to generating tutorial hints in a collaborative medical problem-based learning system

Artificial Intelligence in Medicine

Employing UMLS for generating hints in a tutoring system for medical problem-based learning

Journal of Biomedical Informatics
Associating Clinical Archetypes Through UMLS Metathesaurus Term Clusters

Journal of Medical Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present a novel collaborative authoring tool that was designed to allow medical teachers to formalize and visualize their knowledge for medical intelligent tutoring systems. Our goal is to increase the efficiency and effectiveness in creating the domain model representing the problem solution-often referred to as the bottleneck in developing intelligent tutoring systems. We incorporate the Unified Medical Language System (UMLS) knowledge base to assist the authors in creating the problem solution collaboratively via a videoconferencing platform. The system consists of a shared workspace gathering information visualization and tools necessary for collaborative problem-solving tasks. We found that the authoring tool can be used to effectively elicit the knowledge structure of the domain model. This was achieved in hours compared to months for the conventional paper-based approach.