Clinical Note Creation, Binning, and Artificial Intelligence

Rodrigo Octávio Deliberato; Leo Anthony Celi; David J Stone

doi:10.2196/medinform.7627

Clinical Note Creation, Binning, and Artificial Intelligence

JMIR Med Inform. 2017 Aug 3;5(3):e24. doi: 10.2196/medinform.7627.

Authors

Rodrigo Octávio Deliberato^{1

2}, Leo Anthony Celi^{2

3}, David J Stone^{2

4}

Affiliations

¹ Big Data Analytics Department, Hospital Israelita Albert Einstein, São Paulo, Brazil.
² Harvard - MIT, Division of Health Science and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States.
³ Beth Israel Deaconess Medical Center, Boston, MA, United States.
⁴ Departments of Anesthesiology and Neurosurgery, University of Virgina School of Medicine, Charlottesville, VA, United States.

Abstract

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.

Keywords: artificial Intelligence; clinical informatics; electronic health records.

©Rodrigo Octávio Deliberato, Leo Anthony Celi, David J Stone. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 03.08.2017.