Pine Park Health scales senior care scheduling with Retell AI voice agents
As Pine Park Health scaled to nearly 200 communities, phone-based scheduling consumed hours of Medical Assistant time daily — each call taking about four minutes — causing documentation lapses and rising no-shows during busy periods.
Pine Park built an internal ambient AI dictation system, experimented with self-built voice automation, and partnered with another vendor — none met clinical-level standards. Failures included latency disrupting conversation flow, inadequate pacing for seniors, and requiring engineering effort for every small update.
Pine Park deployed two Retell AI voice agents — Ava for appointment reminders and Jay for proactive scheduling — freeing Medical Assistants from repetitive scheduling calls to focus on higher-impact coordination work.
Results are described as significant and measurable.
Frequently asked questions
What did this team achieve with this AI workflow?
Pine Park deployed two Retell AI voice agents — Ava for appointment reminders and Jay for proactive scheduling — freeing Medical Assistants from repetitive scheduling calls to focus on higher-impact coordination work.
What tools did this team use?
Retell AI, Ava, Jay.
What results were reported?
Scheduling call duration: about four minutes; Medical Assistant time consumed by scheduling: hours of Medical Assistant time every day; Overall results: significant and measurable (source-reported, not independently verified).
What failed first in this deployment?
Pine Park built an internal ambient AI dictation system, experimented with self-built voice automation, and partnered with another vendor — none met clinical-level standards.
How is this appointment scheduling AI workflow structured?
Reminder call triggered → Identity and appointment confirmation → Chart documentation → Escalation to Medical Assistant → Proactive slot identification → Outbound scheduling call → Scheduling result documented.