Intelligent management of epidemiologic data

In the lifecycle of epidemiologic data three steps can be identified: production, interpretation and exploitation for decision. Computerized support can be precious, if not indispensable, at any of the three levels, therefore several epidemiologic data management systems were developed. In this pape...

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Bibliographic Details
Published in:	Proceedings - Symposium on Computer Application in Medical Care pp. 343 - 347
Main Authors:	Ferri, F, Evoli, L M, Pisanelli, D M, Ricci, F L
Format:	Journal Article
Language:	English
Published:	United States American Medical Informatics Association 1991
Subjects:	Artificial Intelligence Data Interpretation, Statistical Database Management Systems Databases, Factual Epidemiologic Methods Microcomputers User-Computer Interface
Online Access:	Get full text
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Summary:	In the lifecycle of epidemiologic data three steps can be identified: production, interpretation and exploitation for decision. Computerized support can be precious, if not indispensable, at any of the three levels, therefore several epidemiologic data management systems were developed. In this paper we focus on intelligent management of epidemiologic data, where intelligence is needed in order to analyze trends or to compare observed with reference value and possibly detect abnormalities. After having outlined the problems involved in such a task, we show the features of ADAMS, a system realized to manage aggregated data and implemented in a personal computer environment.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0195-4210