Linked Life Data

19482968

Source:http://linkedlifedata.com/resource/pubmed/id/19482968

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2009-9-10
pubmed:abstractText
The electronic health record (EHR) is seen by many as an ideal vehicle for measuring quality of health care and monitoring ongoing provider performance. It is anticipated that the availability of EHR-extracted data will allow quality assessment without the expensive and time-consuming process of medical record abstraction. A review of the data requirements for the indicators in the Quality Assessment Tools system suggests that only about a third of the indicators would be readily accessible from EHR data. Other factors involving complexity of required data elements, provider documentation habits, and EHR variability make the task of quality measurement more difficult than may be appreciated. Accurately identifying eligible cases for quality assessment and validly scoring those cases with EHR-extracted data will pose significant challenges but could potentially plummet the cost and therefore expand the use of quality assessment.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1555-824X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
24
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
385-94
pubmed:meshHeading
pubmed:articleTitle
The challenge of measuring quality of care from the electronic health record.
pubmed:affiliation
RAND Health, Santa Monica, California 90407-2138, USA. roth@rand.org
pubmed:publicationType
Journal Article