The Evolving Use of Electronic Health Records (EHR) for Research

Electronic health records (EHR) have been implemented successfully in a majority of United States healthcare systems in some form. There has been a rise in secondary uses of EHR, especially for research. EHR data is large, heterogenous, incomplete, noisy, and primarily created for purposes other tha...

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Published inSeminars in radiation oncology Vol. 29; no. 4; pp. 354 - 361
Main Authors Kim, Ellen, Rubinstein, Samuel M., Nead, Kevin T., Wojcieszynski, Andrzej P., Gabriel, Peter E., Warner, Jeremy L.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.10.2019
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Summary:Electronic health records (EHR) have been implemented successfully in a majority of United States healthcare systems in some form. There has been a rise in secondary uses of EHR, especially for research. EHR data is large, heterogenous, incomplete, noisy, and primarily created for purposes other than research. This presents many challenges, many of which are beginning to be overcome with the application of computer science artificial intelligence techniques, such as natural language processing and machine learning. EHR are gradually being redesigned to facilitate future research, though we are still far from a “complete EHR.”
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ISSN:1053-4296
1532-9461
1532-9461
DOI:10.1016/j.semradonc.2019.05.010