Linked Life Data

17608054

Source:http://linkedlifedata.com/resource/pubmed/id/17608054

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2007-7-4
pubmed:abstractText
This study investigates the bottlenecks in the emergency care chain of cardiac in-patient flow. The primary goal is to determine the optimal bed allocation over the care chain given a maximum number of refused admissions. Another objective is to provide deeper insight in the relation between natural variation in arrivals and length of stay and occupancy rates. The strong focus on raising occupancy rates of hospital management is unrealistic and counterproductive. Economies of scale cannot be neglected. An important result is that refused admissions at the First Cardiac Aid (FCA) are primarily caused by unavailability of beds downstream the care chain. Both variability in LOS and fluctuations in arrivals result in large workload variations. Techniques from operations research were successfully used to describe the complexity and dynamics of emergency in-patient flow.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1386-9620
pubmed:author
pubmed:issnType
Print
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
125-37
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Modeling the emergency cardiac in-patient flow: an application of queuing theory.
pubmed:affiliation
Division IV (room PK 6X.185), VU University Medical Centre, De Boelelaan 1117, PO Box 7075, Amsterdam, The Netherlands. am.debruin@vumc.nl
pubmed:publicationType
Journal Article