Linked Life Data

11207951

Source:http://linkedlifedata.com/resource/pubmed/id/11207951

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2001-3-1
pubmed:abstractText
Clinical indicators (CI) are increasingly being used to assess the quality of health care being provided by physicians and hospitals. However, a standardised reporting format and a methodology to assess the utility of the CI data has not been developed. This paper provides the reporting format that has been developed for the clinical colleges. The results for four surgical indicators are used to illustrate how the CI data can determine the potential to improve the quality of care. Numerical estimates of the potential gains that could be made are calculated by: (i) determining the outcome if the current mean rate was shifted to the rate for the best 20% of hospitals and (ii) identifying units with unusual variation in rates and shifting their rate to the average. All four indicators reveal gains that could impact on health policy and clinical practice.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1320-5455
pubmed:author
pubmed:issnType
Print
pubmed:volume
20
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
136-44
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Using clinical indicators to identify areas for quality improvement.
pubmed:affiliation
Health Services Research Group, University of Newcastle. strwg@hsrg.newcastle.edu.au
pubmed:publicationType
Journal Article