Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs.

Peter J Leese Adit Anand Andrew T Girvin Amin Manna Saaya Patel Yun Jae Yoo Rachel Wong Melissa A Haendel Christopher G Chute Tellen D Bennett Janos G Hajagos Emily Rose Pfaff Richard A Moffitt

Published in: Journal of the American Medical Informatics Association : JAMIA (2023)

This article presents method developments to manipulate and resolve EHR encounter data issues in a generalizable way as a foundation for future research and analysis.

Keyphrases

electronic health record
public health
big data
single cell
deep learning