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Methods Inf Med 1990; 29(02): 122-131
DOI: 10.1055/s-0038-1634774
Knowledge-based systems
Schattauer GmbH

DYNASCENE: An Approach to Computer-Based Intelligent Cardiovascular Monitoring Using Sequential Clinical “Scenes”

A. I. Cohnl
,
S. Rosenbauml
2   Department of Internal Medicine, Yale University School of Medicine, Yale University, New Haven, USA
,
M. Factor
3   Department of Computer Science, Yale University, New Haven, USA
,
P. L. Millerl
› Author AffiliationsThis research is supported in part by NIH grants T1S LM070S6 and R01 LM04336 from the National Library of Medicine and by a grant from the Ira DeCamp Foundation. The authors would like to thank Jeffrey Clyman, M. D. who provided a valuable review of an early draft of this manuscript, and Dean F. Sittig, Ph. D. who helped prepare data for DYNASCENE testing. This paper is an extended version of a paper presented at the Thirteenth Annual Symposium on Computer Applications in Medical Care (SCAMC XIII, Washington, D. C), published with permission.
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Publication History

Publication Date:
06 February 2018 (online)

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Abstract

Hemodynamic abnormalities such as hypovolemia typically progress through a sequence of discrete clinical phases or “scenes” (e. g., intravascular volume depletion, vasoconstriction, hypotension). Each scene can be defined by a cluster of hemodynamic trends. A natural approach to modeling the process of hemodynamic monitoring involves identifying these scenes and the temporal relationships among them. This approach has been utilized in the development of DYNASCENE, a parallel programming implementation of a computer-based intelligent hemodynamic monitor. This paper discusses: (1) The rationale for utilizing sequential clinical scenes to represent knowledge of hemodynamic behavior, (2) the design of the DYNASCENE system, and (3) preliminary tests of the DYNASCENE system.

Key-Words

Expert Systems - Computer-Assisted Diagnosis - Knowledge Representation - Real-Time Systems
 

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