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dc.contributor.authorYu, Feliciano B.
dc.contributor.authorMenachemi, Nir
dc.contributor.authorBerner, Eta S.
dc.contributor.authorAllison, Jeroan J.
dc.contributor.authorHouston, Thomas K.
dc.contributor.authorHouston, Thomas K.
dc.date2022-08-11T08:10:43.000
dc.date.accessioned2022-08-23T17:17:49Z
dc.date.available2022-08-23T17:17:49Z
dc.date.issued2009-06-09
dc.date.submitted2010-08-05
dc.identifier.citationAm J Med Qual. 2009 Jul-Aug;24(4):278-86. Epub 2009 Jun 5. <a href="http://dx.doi.org/10.1177/1062860609333626">Link to article on publisher's site</a>
dc.identifier.issn1062-8606 (Linking)
dc.identifier.doi10.1177/1062860609333626
dc.identifier.pmid19502568
dc.identifier.urihttp://hdl.handle.net/20.500.14038/47714
dc.description.abstractThis study compares quality of care measures for hospitals with fully implemented computerized physician order entry (CPOE) systems with hospitals that have not fully implemented such a system. Using a cross-sectional design, this study linked hospital quality data from the Centers for Medicare and Medicaid Services to the Health Information Management Systems Society Analytics database, which contains hospital CPOE adoption information. Performance on quality measures was assessed using univariate and multivariate methods. In all, 8% of hospitals have fully implemented CPOE systems; CPOE hospitals were more frequently larger, not-for-profit, and teaching hospitals. After controlling for confounders, CPOE hospitals outperformed comparison hospitals on 5 of 11 measures related to ordering medications and on 1 of 9 nonmedication-related quality measures. Using a large sample of hospitals, our study found significant positive associations between specific objective quality indicators and CPOE implementation.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=19502568&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1177/1062860609333626
dc.subjectCenters for Medicare and Medicaid Services (U.S.)
dc.subjectdata
dc.subjectCross-Sectional Studies
dc.subjectHospital Administration
dc.subjectHumans
dc.subjectMedical Order Entry Systems
dc.subjectnumerical data
dc.subjectOutcome Assessment (Health Care)
dc.subjectPharmacy Service, Hospital
dc.subjectnumerical data
dc.subjectQuality Assurance, Health Care
dc.subjectand numerical data
dc.subjectQuality Indicators, Health Care
dc.subjectUnited States
dc.subjectBioinformatics
dc.subjectBiostatistics
dc.subjectEpidemiology
dc.subjectHealth Services Research
dc.titleFull implementation of computerized physician order entry and medication-related quality outcomes: a study of 3364 hospitals
dc.typeJournal Article
dc.source.journaltitleAmerican journal of medical quality : the official journal of the American College of Medical Quality
dc.source.volume24
dc.source.issue4
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/qhs_pp/837
dc.identifier.contextkey1426311
html.description.abstract<p>This study compares quality of care measures for hospitals with fully implemented computerized physician order entry (CPOE) systems with hospitals that have not fully implemented such a system. Using a cross-sectional design, this study linked hospital quality data from the Centers for Medicare and Medicaid Services to the Health Information Management Systems Society Analytics database, which contains hospital CPOE adoption information. Performance on quality measures was assessed using univariate and multivariate methods. In all, 8% of hospitals have fully implemented CPOE systems; CPOE hospitals were more frequently larger, not-for-profit, and teaching hospitals. After controlling for confounders, CPOE hospitals outperformed comparison hospitals on 5 of 11 measures related to ordering medications and on 1 of 9 nonmedication-related quality measures. Using a large sample of hospitals, our study found significant positive associations between specific objective quality indicators and CPOE implementation.</p>
dc.identifier.submissionpathqhs_pp/837
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.source.pages278-86


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