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A Bayesian patient-based model for detecting deterioration in vital signs using manual observations

Abstract:

Deterioration in patient condition is often preceded by deterioration in the patient’s vital signs. “Track-and-Trigger” systems have been adopted in many hospitals in the UK, where manual observations of the vital signs are scored according to their deviation from “normal” limits. If the score exceeds a threshold, the patient is reviewed. However, such scoring systems are typically heuristic. We propose an automated method for detection of deterioration using manual observations of the vital ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-642-53956-5_10

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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Department of Engineering Science
Oxford college:
Balliol College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Department of Engineering Science
Oxford college:
St John's College
Role:
Author
Publisher:
Springer Publisher's website
Journal:
Lecture Notes in Computer Science: FHIES 2013: Foundations of Health Information Engineering and Systems Journal website
Volume:
8315
Pages:
146-158
Host title:
Lecture Notes in Computer Science: FHIES 2013: Foundations of Health Information Engineering and Systems
Publication date:
2014-01-01
DOI:
ISSN:
0302-9743 and 1611-3349
Source identifiers:
519569
ISBN:
9783642539558
Keywords:
Pubs id:
pubs:519569
UUID:
uuid:c2217af1-a4b7-49e1-b469-f4ffdb429d9a
Local pid:
pubs:519569
Deposit date:
2018-02-01

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