Adaptive interfaces and agents
The human-computer interaction handbook
An Electronic Diary Software for Ecological Momentary Assessment (EMA) in Clinical Trials
CBMS '04 Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems
Methods in biomedical ontology
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
Reflections on a medical ontology
International Journal of Human-Computer Studies
Gathering Precise Patient Medical History with an Ontology-Driven Adaptive Questionnaire
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
Ontology-driven adaptive medical information collection system
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
RR '09 Proceedings of the 3rd International Conference on Web Reasoning and Rule Systems
Semi-automatic Generation of a Patient Preoperative Knowledge-Base from a Legacy Clinical Database
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
Experience of using OWL ontologies for automated inference of routine pre-operative screening tests
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Managing complexity in pre-operative information management systems
Proceedings of the first international workshop on Managing interoperability and complexity in health systems
Semantic patient information aggregation and medicinal decision support
Computer Methods and Programs in Biomedicine
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Health Information Management Systems (HIMS) face considerable technical and organisational barriers before successful deployment in hospitals. In addition, many existing systems have significant limitations, including: lack of flexibility and adaptability to complex requirements and processes and a general lack of "intelligence". They offer basic patient management functionalities but do not go far beyond core functionalities. Due to their rigid architectures, these systems are hard to maintain and update. Recent advances in knowledge representation, including ontologies, can offer powerful and appealing solution to these problems. In this paper, we describe our current work on using ontologies for adapted information collection and patient representation. We describe the iterative transformation of a basic risk assessment software into a "knowledge-aware" system. We argue that using ontologies is both conceptually appealing and a pragmatic solution to implementing a shift from simple management systems to intelligent systems in healthcare. In turn, we believe such systems will efficiently support clinicians in their daily activities and will result in improved delivery of tailored patient care.