Dec 8, 2022 · We describe a novel unsupervised approach using the comparison and visualization of EHR action embeddings to learn context and structure from raw audit log ...
Dec 8, 2022 · We describe a novel unsupervised approach using the comparison and visualization of EHR action embeddings to learn context and structure from raw audit log ...
Characterizing the macrostructure of electronic health record work using ...
ouci.dntb.gov.ua › works
Our approach represents an important methodological advance in raw audit log research, facilitating the future development of metrics and predictive models to ...
Oxford University Press · Characterizing the macrostructure of electronic health record work using raw audit logs: an unsupervised action embeddings approach.
In this paper, we describe a novel unsupervised approach using the comparison and visualization of EHR action embeddings to learn context and structure from raw ...
People also ask
How does an EHR audit trail work?
What are the four main components of a fully developed electronic health records EHR system?
What are the key steps of the electronic health record EHR implementation planning phase?
What are the 4 healthcare professionals who maintain or use practice management and electronic health record applications?
Characterizing the macrostructure of electronic health record work using raw audit logs: an unsupervised action embeddings approach. SS Lou, H Liu, D Harford ...
Characterizing the macrostructure of electronic health record work using raw audit logs - an unsupervised action embeddings approach · Temporal Associations ...
Characterizing the macrostructure of electronic health record work using raw audit logs: an unsupervised action embeddings approach · Article. December 2022.
Jan 11, 2024 · Characterizing the macrostructure of electronic health record work using raw audit logs: an unsupervised action embeddings approach. J Am ...
Electronic Health Record 100%. Characterizing the macrostructure of electronic health record work using raw audit logs: An unsupervised action embeddings ...