TY - JOUR
T1 - The Evolving Use of Electronic Health Records (EHR) for Research
AU - Kim, E.
AU - Rubinstein, Samuel M.
AU - Nead, Kevin T.
AU - Wojcieszynski, Andrzej P.
AU - Gabriel, Peter E.
AU - Warner, Jeremy L.
N1 - Publisher Copyright:
© 2019 Elsevier Inc.
PY - 2019/10
Y1 - 2019/10
N2 - 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.”
AB - 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.”
UR - http://www.scopus.com/inward/record.url?scp=85067199340&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067199340&partnerID=8YFLogxK
U2 - 10.1016/j.semradonc.2019.05.010
DO - 10.1016/j.semradonc.2019.05.010
M3 - Article
C2 - 31472738
AN - SCOPUS:85067199340
SN - 1053-4296
VL - 29
SP - 354
EP - 361
JO - Seminars in radiation oncology
JF - Seminars in radiation oncology
IS - 4
ER -