Linked Life Data

19449615

Source:http://linkedlifedata.com/resource/pubmed/id/19449615

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2009-5-19
pubmed:abstractText
Alarms in medical devices are a matter of concern in critical and perioperative care. The high rate of false alarms is not only a nuisance for patients and caregivers, but can also compromise patient safety and effectiveness of care. The development of alarm systems has lagged behind the technological advances of medical devices over the last 20 years. From a clinical perspective, major improvements in alarm algorithms are urgently needed. This review gives an overview of the current clinical situation and the underlying problems, and discusses different methods from statistics and computational science and their potential for clinical application. Some examples of the application of new alarm algorithms to clinical data are presented.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1521-6896
pubmed:author
pubmed:issnType
Print
pubmed:volume
23
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
39-50
pubmed:dateRevised
2011-4-28
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Smart alarms from medical devices in the OR and ICU.
pubmed:affiliation
Abteilung für Medizinische Informatik, Biometrie und Epidemiologie, Ruhr-Universität Bochum, 44780 Bochum, Germany. mike@imhoff.de
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't