T.H.E. Clinic, a federally qualified health center serving a low-income communmity in Los Angeles, recently reduced missed patient visits (“no-shows”) from 25-28% to 13-14%. To learn more about this exceptional improvement, we sat down with CIO Wilson Santos who describes how the healow AI-Powered No-Show Prediction Model helped their clinic achieve this goal.
Many factors create what Santos called an “unacceptable” rate of missed visits. People are tied down taking care of family members, forget visits, get busy, or simply get well before the time of their visit and fail to cancel.
T.H.E. Clinic was one of first adopters of healow AI-powered no-show prediction model, and after implementing it saw the great results. The clinic now identifies the appointments most likely to be missed through predictive analytics on EHR data, and dedicates front desk staff to contacting them.
Two interventions solve a lot of problems: offering transportation (even calling a shared ride such as Uber), and changing the visit to telehealth. By reducing missed visits, the clinic has created slots to handle new patients for their growing population. Because of this improvement, the clinic can improve continuity of care, and patients are happier as well.
The clinic is considering more AI solutions from eClinicalWorks and integrated with eClinicalWorks, particularly healow Genie, an AI contact center solution. Check out our interview with T.H.E. Clinic to learn more about their efforts to reduce no-shows at their FQHC.
Learn more about T.H.E. Clinic, Inc.: https://www.tohelpeveryone.org/
Learn more about eClinicalWorks: https://www.eclinicalworks.com/
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