Forbes February 28, 2021
People who are admitted multiple times a year to inpatient psychiatric hospitals could be better served by preemptive services that not only keep them out of the hospital, but save a bed for someone else. That’s why researchers at the University of Texas Health Science Center at Houston used a machine learning algorithm to find out who is most likely to become a so-called “high utilizer.”
Analyzing data over three years from nearly 10,000 patients at the UTHealth Harris County Psychiatric Center, a safety net hospital, researchers learned that people who did not complete high school, people with schizophrenia,...
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