Google Inc.

Kurt Litsch

Yi Zhang

Kun Zhang

Yingwei Cui

Eyal Oren

Patrik Sundberg

Gerardo Flores

Gavin Duggan

Jeffrey Adgate Dean

Kai Chen

Quoc V Le

James Wilson

Gregory Sean Corrado

Andrew M Dai

Nissan Hajaj

Alvin Rishi Rajkomar

Peter Junteng Liu

Benjamin Irvine

James Wexler

Hector Yee

Michaela Hardt

Xiaomi Sun

Xiaobing Liu

Jacob Marcus

Alexander Mossin

A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.

System and method for predicting and summarizing medical events from electronic health records

Growing community of inventors

Mountain View, CA, United States of America

Kurt Litsch