An ontology-based mediator of clinical information for decision support systems: a prototype of a clinical alert system for prescription.
Methods Inf Med
; 47(6): 549-59, 2008.
Article
en En
| MEDLINE
| ID: mdl-19020690
ABSTRACT
OBJECTIVE:
We have been developing a decision support system that uses electronic clinical data and provides alerts to clinicians. However, the inference rules for such a system are difficult to write in terms of representing domain concepts and temporal reasoning. To address this problem, we have developed an ontology-based mediator of clinical information for the decision support system.METHODS:
Our approach consists of threesteps:
1) development of an ontology-based mediator that represents domain concepts and temporal information; 2) mapping of clinical data to corresponding concepts in the mediator; 3) temporal abstraction that creates high-level, interval-based concepts from time-stamped clinical data. As a result, we can write a concept-based rule expression that is available for use in domain concepts and interval-based temporal information. The proposed approach was applied to a prototype of clinical alert system, and the rules for adverse drug events were executed on data gathered over a 3-month period.RESULTS:
The system generated 615 alerts. 346 cases (56%) were considered appropriate and 269 cases (44%) were inappropriate. Of the false alerts, 192 cases were due to data inaccuracy and 77 cases were due to insufficiency of the temporal abstraction.CONCLUSION:
Our approach enabled to represent a concept-based rule expression that was available for the prototype of a clinical alert system. We believe our approach will contribute to narrow the gaps of information model between domain concepts and clinical data repositories.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Informática Médica
/
Preparaciones Farmacéuticas
/
Bases de Datos Factuales
/
Técnicas de Apoyo para la Decisión
/
Sistemas de Apoyo a Decisiones Clínicas
/
Internet
/
Terminología como Asunto
Tipo de estudio:
Prognostic_studies
Límite:
Humans
País/Región como asunto:
Asia
Idioma:
En
Revista:
Methods Inf Med
Año:
2008
Tipo del documento:
Article
País de afiliación:
Japón