Patients value staff dedication most when evaluating substance use treatment facilities

More precise diagnoses made possible with whole genome sequencing
17 March 2021
Young adults in a 20-year-long study shed light on what matters for mental health of ethnic diverse youth
17 March 2021

Patients value staff dedication most when evaluating substance use treatment facilities

Machine learning can be used to comb through online reviews of substance use treatment facilities to home in on qualities that are important to patients but remain hard to capture via formal means, such as surveys, researchers from the Perelman School of Medicine at the University of Pennsylvania show. The researchers found that professionalism and staff dedication to patients were two of the top qualities that could be attributed to either a negative or positive review of the facility. Findings from this study were published today in the Journal of General Internal Medicine.

Comments are closed.