In this case study, you’ll discover how a 20-location healthcare network partnered with GeBBS Healthcare Solutions to reduce patient no-shows by 70% using its Patient No-Show Predictive Model. By leveraging data-driven insights to identify at-risk appointments and trigger targeted patient outreach, the organization transformed a 10.14% no-show rate into a more efficient, patient-centered scheduling process that improved both operational performance and access to care.
A growing California health system faced mounting pressure on patient access operations โ rising labor costs, staffing shortages, and surging demand were outpacing internal
