Abstract:
OBJECTIVE:Efforts to promote adoption of electronic health records (EHRs) have focused on primary care physicians, who are now expected to exchange data electronically with other providers, including specialists. However, the variation of EHR adoption among specialists is underexplored. METHODS:We conducted a retrospective cross-sectional study to determine the association between physician specialty and the prevalence of EHR adoption, and a retrospective serial cross-sectional study to determine the association of physician specialty and the rate of EHR adoption over time. We used the 2005-2009 National Ambulatory Medical Care Survey. We considered fourteen specialties, and four definitions of EHR adoption (any EHR, basic EHR, full EHR, and a novel definition of EHR sophistication). We used multivariable logistic regression, and adjusted for several covariates (geography, practice characteristics, revenue characteristics, physician degree). RESULTS:Physician specialty was significantly associated with EHR adoption, regardless of the EHR definition, after adjusting for covariates. Psychiatrists, dermatologists, pediatricians, ophthalmologists, and general surgeons were significantly less likely to adopt EHRs, compared to the reference group of family medicine/general practitioners. After adjustment for covariates, these specialties were 44-94% less likely to adopt EHRs than the reference group. EHR adoption increased in all specialties, by approximately 40% per year. The rate of EHR adoption over time did not significantly vary by specialty. CONCLUSIONS:Although EHR adoption is increasing in all specialties, adoption varies widely by specialty. In order to insure each individual's network of providers can electronically share data, widespread adoption of EHRs is needed across all specialties.
journal_name
Appl Clin Informjournal_title
Applied clinical informaticsauthors
Grinspan ZM,Banerjee S,Kaushal R,Kern LMdoi
10.4338/ACI-2013-02-RA-0015subject
Has Abstractpub_date
2013-05-22 00:00:00pages
225-40issue
2issn
1869-0327journal_volume
4pub_type
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journal_title:Applied clinical informatics
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abstract:OBJECTIVES:Discharging patients from the Neonatal Intensive Care Unit (NICU) can be delayed for non-medical reasons including the procurement of home medical equipment, parental education, and the need for children's services. We previously created a model to identify patients that will be medically ready for discharge...
journal_title:Applied clinical informatics
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2015-09-RA-0127
更新日期:2016-05-04 00:00:00
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更新日期:2014-03-26 00:00:00
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journal_title:Applied clinical informatics
pub_type: 杂志文章
doi:10.4338/ACI-2013-12-RA-0106
更新日期:2014-04-30 00:00:00
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abstract:: ...
journal_title:Applied clinical informatics
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更新日期:2017-01-25 00:00:00
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pub_type: 杂志文章
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journal_title:Applied clinical informatics
pub_type: 杂志文章
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更新日期:2016-08-24 00:00:00
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更新日期:2018-07-01 00:00:00
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pub_type: 杂志文章,多中心研究
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更新日期:2018-10-01 00:00:00