After-hours calls went unanswered
Patients who were ready to schedule reached voicemail instead, creating avoidable frustration and lost bookings.
A bilingual, 24/7 patient intake and scheduling agent that answers every call and web chat, books directly into the EHR, sends reminders, and escalates urgent symptoms to clinical staff.
Bright Ridge Family Clinics serves roughly 90,000 patient visits each year across 12 locations in Texas and Oklahoma. Its phone system and front-desk workflows, however, were built around office hours. When patients called at night or during peak periods, they often reached voicemail or waited too long to speak with someone.
The same team responsible for welcoming patients in person was spending about 4.2 hours per day, per location, answering repetitive scheduling calls. Manual symptom routing varied by staff member, while inconsistent reminders contributed to a 22% no-show rate.
The clinic needed dependable coverage without putting clinical judgment inside a general-purpose language model or forcing staff to replace the systems they already knew.
Patients who were ready to schedule reached voicemail instead, creating avoidable frustration and lost bookings.
Every location lost almost half a staff day to booking, rescheduling, confirmation, and policy questions.
Reminder gaps and language barriers left schedule capacity unused and delayed care for other patients.
DEVginix built MediVoice as a voice-and-chat front door that works alongside the clinic’s staff, EHR calendar, policies, and on-call procedures.
For routine requests, the agent verifies a patient, checks live availability, books or reschedules the visit, and confirms it by SMS. For clinical language, it follows a clinician-approved triage tree. Red-flag symptoms trigger an immediate handoff to the on-call team—typically in under 30 seconds.
Protected health information is passed only to approved tools and is not stored in LLM context. Weekly transcript sampling, exception reviews, and policy updates keep the workflow accountable to human owners.
Operations leaders can see demand across 12 locations without interrupting the front desk or opening individual transcripts.
| Patient | Outcome | Duration | Time |
|---|---|---|---|
| SMS. Mitchell | Booked | 2m 41s | 09:14 |
| JCJ. Carter | Rescheduled | 1m 52s | 09:22 |
| OBO. Bennett | Info-only | 1m 08s | 09:31 |
| EDE. Dawson | Booked | 3m 04s | 09:40 |
| AHA. Harris | Escalated | 0m 47s | 09:48 |
A controlled five-stage workflow separates conversational understanding, approved knowledge, system actions, and human review.
Twilio voice or web chat captures the request.
The LLM interprets language inside firm guardrails.
EHR, clinic policies, and the approved triage tree.
Book, reschedule, escalate, or send confirmation.
Weekly quality review informs prompt and tool updates.
Patient reports chest tightness. Tap to review.
Callback needed within 5 min — case #E-2210 · +1 (512) 555-0184
Sarah books through web chat while James calls after hours. Both receive the same guardrailed workflow, live scheduling access, and documented outcome.
Each capability maps to a defined clinic workflow, an approved data source, and a clear escalation owner.
Answers simultaneous patient calls and web chats after hours, during lunch, and through peak demand without sending routine requests to voicemail.
Reads provider availability, respects visit types and location rules, then books or reschedules directly in the clinic’s source-of-truth calendar.
Uses a clinician-approved decision tree for safety screening and hands red-flag symptoms to on-call staff within a 30-second target.
Maintains the patient’s chosen language through voice, chat, appointment details, and SMS reminders without creating a separate workflow.
Sends confirmations, preparation instructions, bilingual reminders, and reschedule links using timing rules tied to each appointment type.
Gives practice managers PHI-safe summaries of demand, completion, escalation, transfer, and exception trends across all 12 locations.
The stack separates model reasoning from deterministic clinic tools, auditable actions, and PHI-safe operations.
Measured across the first 90 days after rollout, with operational review by the clinic’s practice-management team.
Unanswered after-hours calls fell from 38% to 11%.
Monthly completed bookings increased within the first 90 days.
Time reclaimed per location for in-person patient support.
Smart bilingual SMS reminders reduced missed visits.
Results reflect the fictional case-study brief and describe the modeled Bright Ridge Family Clinics deployment.
“Our teams got meaningful time back to focus on the patients in front of them, while callers could finally get help outside office hours. MediVoice gave us dependable coverage without removing staff from the moments where human judgment matters.”
Bring us the queue, handoff, or access problem. We’ll help you define the workflow, guardrails, integrations, and business case.