Linked Life Data

12578069

Source:http://linkedlifedata.com/resource/pubmed/id/12578069

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2003-2-11
pubmed:abstractText
Some critical events in anesthesiology occur as seemingly preventable misadventures, their exact origins indeterminable. Inexperienced anesthetists, anesthesia machine malfunctions, lack of vigilance and human error inevitably initiate some incidents. Anesthesia training improves recognition and decision-making. Avoiding crisis initiation and amelioration of those that do occur is one role of the consultant anesthesiologist. Safe patient care requires medical and procedural knowledge, technical expertise, and control of resources in a complex milieu. Anesthesia simulators are clinical laboratories where anesthetists can sharpen both cognitive and manual skills. Dynamic scenarios allow opportunities for anesthetists to explore and experience crises as they develop and apply their knowledge while attempting to manage these events. Simulator-based scenarios are reproducible and large amounts of useful data can be collected and saved. The authors hypothesize these data can be utilized to compare performance of anesthetists and to measure improvement of individual anesthetists over time.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1387-1307
pubmed:author
pubmed:issnType
Print
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
121-5
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
A proposed method for the measurement of anesthetist care variability.
pubmed:affiliation
Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. paul.h.king@vanderbilt.edu
pubmed:publicationType
Journal Article