Linked Life Data

10156542

Source:http://linkedlifedata.com/resource/pubmed/id/10156542

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1996-5-15
pubmed:abstractText
Hospital characteristics vary greatly across a geographic area such as a state. Hospital peer groups internally exhibit similar characteristics and can be used as a basis for the analysis of data, the dissemination of information, and the adoption of continuous quality improvement project results. This paper reflects the efforts made toward the identification of hospital peer groups within the state of Michigan. Hospital characteristics data for fiscal year 1992 were obtained from the American Hospital Association's Annual Survey of Hospitals and the Health Care Financing Administration's MEDPRO database. Thirteen peer group clusters have been identified, reviewed, and commented on by the state's hospital association and have met general approval by hospital administrators across the state. The established peer groups are being used to identify the differences in patterns of care among hospitals in the state. The peer groups also are being used for the feedback of comparable data and the identification of hospitals for participation in continuous quality improvement projects. The next research objective is to experiment with other clustering techniques and other inpatient populations. The consistency of the peer groupings across all clustering techniques and across both Medicare and total inpatient populations will be studied.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
H
pubmed:status
MEDLINE
pubmed:issn
1063-0279
pubmed:author
pubmed:issnType
Print
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
10-3
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:articleTitle
Quality assessment and patient participation in care by means of a touch-screen computer.
pubmed:affiliation
University of Utah Health Sciences Center, Salt Lake City 84132, USA.
pubmed:publicationType
Journal Article