Harnessing the Electronic Health Record and Computerized Provider Order Entry Data for Resource Management During the COVID-19 Pandemic: Development of a Decision Tree.

Hung S Luu Laura M Filkins Jason Y Park Dinesh Rakheja Jefferson Tweed Christopher Menzies Vincent J Wang Vineeta Mittal Christoph U Lehman Michael E Sebert

Published in: JMIR medical informatics (2021)

The leveraging of EHRs and our CDS algorithm resulted in a decreased incidence of order entry errors and the appropriate flagging of persons under investigation. These interventions optimized reagent and personal protective equipment usage. Data regarding symptoms and COVID-19 exposure status that were collected by using the decision tree correlated with the likelihood of positive test results, suggesting that clinicians appropriately used the questions in the decision tree algorithm.

Keyphrases

electronic health record
clinical decision support
adverse drug
machine learning
decision making
big data
deep learning
coronavirus disease
sars cov
primary care
risk factors
palliative care
neural network
emergency department
respiratory syndrome coronavirus