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Jamoom, EW; Heisey-Grove, D; Yang, N; Scanlon, P (2016)
Publisher: OMICS International
Journal: Journal of health & medical informatics
Languages: English
Types: Article
Subjects: EHR optimization, Physicians, National Electronic Health Records Survey (NEHRS), Health information technology, Electronic health records, Article, R1

Classified by OpenAIRE into

mesheuropmc: health care facilities, manpower, and services, social sciences, health care economics and organizations, health services administration
Optimization and experience with using EHRs may improve physician experiences. Physician opinions about EHR-related impacts, and the extent to which these impacts differ by self-reported optimized EHR use and length of experience are examined through nationally representative physician data of EHR users from the National Electronic Health Records Survey extended survey (n=1,471). Logistic regression models first estimated how physicians' length of times using an EHR were associated with each EHR-related impact. Additionally, a similar set of models estimated the association of self-reported optimized EHR use with each EHR impact. At least 70% of physicians using EHRs continue to attribute their administrative burdens to their EHR use. Physicians with 4 or more years of EHR experience accounted for 58% of those using EHRs. About 71% of EHR users self-reported using an optimized EHR. Physicians with more EHR experience and those in practices that optimized EHR use had positive opinions about the impacts of using EHRs, compared to their counterparts. These findings suggest that longer experience with EHRs improves perceptions about EHR use; and that perceived EHR use optimization is crucial to identifying EHR-related benefits. Finding ways to reduce EHR-related administrative burden has yet to be addressed.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • Citation: Jamoom EW, Grove DH, Yang N, Scanlon P (2016) Assessing the Financial Impact of Reusing Electronic Health Records Data for Clinical Research: Results from the EHR4CR European Project. J Health Med Informat 7: 247. doi:10.4172/2157-7420.1000240
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