Automating Electronic Clinical Data Capture for Quality Improvement and Research: The CERTAIN Validation Project of Real World Evidence.

Emily Beth Devine Erik G Van Eaton Megan E Zadworny Rebecca Symons Alison M DevlinDavid YanezMeliha YetisgenKatelyn R KeylounDaniel Capurro Rafael Alfonso-Cristancho David R Flum Peter Tarczy-Hornoch

Published in: EGEMS (Washington, DC) (2018)

Semi-automated data abstraction may be useful, although raw data collected as a byproduct of health care delivery is not immediately available for use as real world evidence. New approaches to gathering and analyzing extant data are required.

Keyphrases

quality improvement
electronic health record
healthcare
big data
machine learning
high throughput
data analysis
patient safety