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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
5
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pubmed:dateCreated |
1989-10-23
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pubmed:abstractText |
A COMputerized Patient Advice System (COMPAS) was designed to test the feasibility of using the HELP clinical information system to direct the respiratory therapy of intensive care (ICU) patients acutely ill with adult respiratory distress syndrome. A modified black-board control architecture allowed the application of knowledge in either a forward or a backward chaining mode. Expert clinicians recommended decision logic and actions for five different modes of ventilatory support. The clinical staff used COMPAS to manage the ICU ventilatory support of five patients for a total of 624 hr. During that time there were 407 decision-making opportunities. COMPAS automatically generated therapy suggestions 379 (93.1%) times and the clinical staff accepted COMPAS's recommendation in 320 (84.4%) of these cases. These results suggest that the ventilatory support of severely ill ICU patients can be managed by a clinical information system using a blackboard control architecture.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Oct
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pubmed:issn |
0010-4809
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
22
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
474-87
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pubmed:dateRevised |
2007-11-14
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pubmed:meshHeading |
pubmed-meshheading:2776450-Algorithms,
pubmed-meshheading:2776450-Critical Care,
pubmed-meshheading:2776450-Expert Systems,
pubmed-meshheading:2776450-Hospital Information Systems,
pubmed-meshheading:2776450-Humans,
pubmed-meshheading:2776450-Monitoring, Physiologic,
pubmed-meshheading:2776450-Respiratory Distress Syndrome, Adult
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pubmed:year |
1989
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pubmed:articleTitle |
Implementation of a computerized patient advice system using the HELP clinical information system.
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pubmed:affiliation |
Department of Medical Informatics, LDS Hospital/University of Utah, Salt Lake City 84143.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.
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