An ontology-based mediator of clinical information for decision support systems: a prototype of a clinical alert system for prescription.

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 three steps: 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.

journal_name

Methods Inf Med

authors

Kawazoe Y,Ohe K

doi

10.3414/ME9126

subject

Has Abstract

pub_date

2008-01-01 00:00:00

pages

549-59

issue

6

eissn

0026-1270

issn

2511-705X

pii

08060549

journal_volume

47

pub_type

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