Privacy-protecting, reliable response data discovery using COVID-19 patient observations.

Jihoon Kim Larissa NeumannPaulina PaulMichele E DayMichael AratowDouglas S BellJason N DoctorLudwig Christian Hinske Xiaoqian JiangKatherine K KimMichael E MathenyDaniella MeekerMark J PletcherLisa M SchillingSpencer SooHooHua XuKai ZhengLucila Ohno-Machadonull null

Published in: Journal of the American Medical Informatics Association : JAMIA (2021)

We present an alternative or a complement to centralized COVID-19 registries of EHR data. We can use multivariate distributed logistic regression on observations recorded in the process of care to generate results without transferring individual-level data outside the health systems.

Keyphrases

electronic health record
coronavirus disease
big data
sars cov
healthcare
data analysis
small molecule
palliative care
case report
artificial intelligence
respiratory syndrome coronavirus
pain management
deep learning