Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

An Event Model of Medical Information Representation

An Event Model of Medical Information Representation Abstract Objective: Develop a model for structured and encoded representation of medical information that supports human review, decision support applications, ad hoc queries, statistical analysis, and natural-language processing. Design: A medical information representation model was developed from manual and semiautomated analysis of patient data. The key assumption of the model is that medical information can be represented as a series of linked events. The event representation has two main components. The first component is a frame or template definition that specifies the attributes of the event. The second component is a structured vocabulary, the terms of which are taken as the values of the slots in the event template structure. Individual event instances are linked by specific named relationships. Results: The proposed model was used to represent a chest-radiograph report. Conclusions: The event model of medical information representation provides a mechanism for formal definition of the logical structure of medical data and allows explicit time-oriented and associative relationships between event instances. This content is only available as a PDF. Author notes Dr. Rocha is supported by a scholarship from the National Council for Scientific and Technological Development (CNPq), Secretary for Science and Technology, Brazil. American Medical Informatics Association http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the American Medical Informatics Association Oxford University Press

Loading next page...
 
/lp/oxford-university-press/an-event-model-of-medical-information-representation-Q1tb0BJlEe

References (45)

Publisher
Oxford University Press
Copyright
American Medical Informatics Association
ISSN
1067-5027
eISSN
1527-974X
DOI
10.1136/jamia.1995.95261905
Publisher site
See Article on Publisher Site

Abstract

Abstract Objective: Develop a model for structured and encoded representation of medical information that supports human review, decision support applications, ad hoc queries, statistical analysis, and natural-language processing. Design: A medical information representation model was developed from manual and semiautomated analysis of patient data. The key assumption of the model is that medical information can be represented as a series of linked events. The event representation has two main components. The first component is a frame or template definition that specifies the attributes of the event. The second component is a structured vocabulary, the terms of which are taken as the values of the slots in the event template structure. Individual event instances are linked by specific named relationships. Results: The proposed model was used to represent a chest-radiograph report. Conclusions: The event model of medical information representation provides a mechanism for formal definition of the logical structure of medical data and allows explicit time-oriented and associative relationships between event instances. This content is only available as a PDF. Author notes Dr. Rocha is supported by a scholarship from the National Council for Scientific and Technological Development (CNPq), Secretary for Science and Technology, Brazil. American Medical Informatics Association

Journal

Journal of the American Medical Informatics AssociationOxford University Press

Published: Mar 1, 1995

There are no references for this article.