Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning.

Journal: JAMA internal medicine

Published Date: Jun 1, 2019

Abstract

This study assesses the feasibility of using machine learning to automatically populate a review of systems of all symptoms discussed in an encounter between a patient and a clinician.

Authors

Alvin Rajkomar

1Google LLC, Mountain View, CA USA.
Anjuli Kannan

Google LLC, Mountain View, California.
Kai Chen

Department of Critical Care Medicine, Fujian Provincial Key Laboratory of Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fuzhou, Fujian, China.
Laura Vardoulakis

Google LLC, Mountain View, California.
Katherine Chou

Google Research, San Jose, CA, USA.
Claire Cui

Google Research, San Jose, CA, USA.
Jeffrey Dean

1Google LLC, Mountain View, CA USA.

Keywords

Artificial Intelligence Humans Machine Learning Medical Informatics Medical Records Systems, Computerized Physician-Patient Relations Speech Recognition Software

External Resources

View on PubMed Access via DOI PubMed (30907920)

Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals