%0 Journal Article
%@ 2291-9694
%I JMIR Publications
%V 5
%N 3
%P e24
%T Clinical Note Creation, Binning, and Artificial Intelligence
%A Deliberato,Rodrigo Octávio
%A Celi,Leo Anthony
%A Stone,David J
%+ Harvard – MIT, Division of Health Science and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Ave, MIT E25-505, Cambridge, MA, MA 02139, United States, 1 617 253 7937, lceli@mit.edu
%K electronic health records
%K artificial Intelligence
%K clinical informatics
%D 2017
%7 03.08.2017
%9 Viewpoint
%J JMIR Med Inform
%G English
%X The creation of medical notes in software applications poses an intrinsic problem in workflow as the technology inherently intervenes in the processes of collecting and assembling information, as well as the production of a data-driven note that meets both individual and healthcare system requirements. In addition, the note writing applications in currently available electronic health records (EHRs) do not function to support decision making to any substantial degree. We suggest that artificial intelligence (AI) could be utilized to facilitate the workflows of the data collection and assembly processes, as well as to support the development of personalized, yet data-driven assessments and plans.
%M 28778845
%R 10.2196/medinform.7627
%U http://medinform.jmir.org/2017/3/e24/
%U https://doi.org/10.2196/medinform.7627
%U http://www.ncbi.nlm.nih.gov/pubmed/28778845