PURPOSE To develop and test a machine-learning–based model to predict primary care
and other specialties using Medicare claims data. METHODS We used 2014-2016
prescription and procedure Medicare data to train 3 sets of random forest classifiers
(prescription only, procedure only, and combined) to predict specialty. Self-reported
specialties were condensed to 27 categories. Physicians were assigned to testing and
training cohorts, and random forest models were trained and then applied to 2014-2016 …

Objective: Primary care is the first line of defense during a pandemic. It can assist patients
manage at home, reinforce public health messaging, and pinpoint individuals who require
hospital treatment. Primary care struggled to quickly adapt in order to safeguard doctors,
staff, and patients during the COVID-19 outbreak and maintain patient relationships. We
outline the steps primary care has to follow in a pandemic using the existing public health
framework for doing so. Study Design: It was a review. The authors' primary care practices …