A fully automated algorithm for identifying patients with problem prescription opioid use using electronic health record data. (1st February 2017)

Record Type:: Journal Article
Title:: A fully automated algorithm for identifying patients with problem prescription opioid use using electronic health record data. (1st February 2017)
Main Title:: A fully automated algorithm for identifying patients with problem prescription opioid use using electronic health record data
Authors:: Carrell, David
Mardekian, Jack
Cronkite, David
Ramaprasan, Arvind
Hansen, Kristina
Gross, David E.
Palmer, Roy E.
Masters, Elizabeth
Von Korff, Michael
Abstract:
Is Part Of:: Drug and alcohol dependence. Volume 171(2017)
Journal:: Drug and alcohol dependence
Issue:: Volume 171(2017)
Issue Display:: Volume 171, Issue 2017 (2017)
Year:: 2017
Volume:: 171
Issue:: 2017
Issue Sort Value:: 2017-0171-2017-0000
Page Start:: e36
Page End:
Publication Date:: 2017-02-01
Subjects:: Drug abuse -- Periodicals
Alcoholism -- Periodicals
616.86
Journal URLs:: http://www.sciencedirect.com/science/journal/03768716 ↗
http://www.elsevier.com/journals ↗
DOI:: 10.1016/j.drugalcdep.2016.08.111 ↗
Languages:: English
ISSNs:: 0376-8716
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 3627.890000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:: 1868.xml