Risk-Stratified Outreach — Not a Blanket Reminder Blast
AI risk scoring matches outreach intensity to each patient's actual no-show risk.
Award-Winning Appointment Reminder Software
Why Choose Bonami's AI No-Show Prevention Agent
No-shows cost US healthcare $150B a year. Risk-scored patient outreach cuts them 40–50% and backfills empty slots.
Cancellations Become Future Appointments — Not Lost Revenue
When engagement drops, self-service rescheduling turns likely no-shows into future bookings.
Slot Recovery in Minutes — Not the Next Available Opening in Three Weeks
The waitlist engine backfills cancellations, recovering 60–75% of vacancies 2+ hours out.
Core Capabilities of the AI No-Show Prevention Agent
Six capability pillars across primary care, specialist, dental, behavioural health, and large health systems.
ML model scores every appointment on 30+ signals — no-show history, lead time, type, time of day, insurance, and distance. Trained on 6–12 months of practice data.
Outreach via SMS, email, IVR, patient portal, and push — channel mix set per risk tier and patient preference. Each message includes a one-touch confirm or reschedule option.
Patients reply "reschedule" to any message and pick from available slots via a HIPAA-compliant, date-of-birth-verified flow — under 60 seconds on mobile.
On cancellation, the agent ranks waiting patients by urgency, wait time, and proximity — first to confirm gets the slot, booked in the EHR within seconds.
Transportation barriers trigger automatic NEMT coordination (Lyft Health, Uber Health, Modivcare) with ride confirmation sent ahead. SDOH flags elevate risk scores and route patients to care coordination.
Native connectors for Epic, Oracle Health/Cerner, athenahealth, eClinicalWorks, NextGen, Allscripts, and Kareo/Tebra. Reads schedules, writes status, and logs communications as appointment notes — no manual steps.
Core Capabilities of the AI No-Show Prevention Agent
Six capability pillars across primary care, specialist, dental, behavioural health, and large health systems.
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No-Show Risk Scoring
No-Show Risk Scoring
ML model scores every appointment on 30+ signals — no-show history, lead time, type, time of day, insurance, and distance. Trained on 6–12 months of practice data.
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Multi-Channel Outreach
Multi-Channel Outreach
Outreach via SMS, email, IVR, patient portal, and push — channel mix set per risk tier and patient preference. Each message includes a one-touch confirm or reschedule option.
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Self-Service Rescheduling
Self-Service Rescheduling
Patients reply "reschedule" to any message and pick from available slots via a HIPAA-compliant, date-of-birth-verified flow — under 60 seconds on mobile.
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Waitlist Slot Backfill
Waitlist Slot Backfill
On cancellation, the agent ranks waiting patients by urgency, wait time, and proximity — first to confirm gets the slot, booked in the EHR within seconds.
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Transportation Barriers
Transportation Barriers
Transportation barriers trigger automatic NEMT coordination (Lyft Health, Uber Health, Modivcare) with ride confirmation sent ahead. SDOH flags elevate risk scores and route patients to care coordination.
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EHR & PMS Integration
EHR & PMS Integration
Native connectors for Epic, Oracle Health/Cerner, athenahealth, eClinicalWorks, NextGen, Allscripts, and Kareo/Tebra. Reads schedules, writes status, and logs communications as appointment notes — no manual steps.
Patient No-Shows Cost $150B Per Year — Most of It Preventable.
A 4-provider practice at 15% no-show loses $1.3M–$2.2M/year — from patients who forgot, couldn't reschedule, or hit an unaddressed barrier. Bonami's agent recovers 40–50% of that loss within 90 days.
Get No-Show Assessment
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Frequently Asked Questions
[ 1 ]
What is an AI Appointment No-Show Prevention Agent?
It reads your EHR schedule, predicts at-risk patients, and runs risk-based outreach — cutting no-shows 40–50%.
[ 2 ]
How does the AI predict which patients are at high risk of not showing?
30+ EHR and engagement signals, calibrated on 6–12 months of your data. Prior no-shows predict 3–5x higher risk.
[ 3 ]
What outreach channels does the agent use and can patients choose their preference?
SMS, email, IVR, portal, and push — set by each patient's EHR preference. All outreach is HIPAA-compliant.
[ 4 ]
How does the self-service rescheduling flow work?
Verify date of birth, pick from 3–5 open slots, confirm in one tap — under 60 seconds, written to the EHR.
[ 5 ]
How does the waitlist backfill automation work?
On a vacancy the top-ranked waiting patient is contacted at once — recovering 60–75% of slots 2+ hours out.
[ 6 ]
Which EHR and practice management systems does the agent integrate with?
Epic, Oracle Health/Cerner, athenahealth, eClinicalWorks, NextGen, Allscripts, and Kareo/Tebra — plus HL7/CSV for legacy PMS.
[ 7 ]
Is the outreach HIPAA-compliant and how is patient data handled?
Messages carry no PHI. AES-256 encryption, audit logging, role-based access, and a signed BAA before go-live.
[ 8 ]
How long does implementation take and what revenue impact can we expect in the first 90 days?
4–6 weeks to go live. A 4-provider practice drops from 15% to 9–10% by week 12 — $180K–$225K recovered annually.
[ 9 ]
How is this patient appointment reminder software different from standard automated appointment reminders?
Standard automated appointment reminders treat every patient alike; this agent scales outreach to scored risk.
[ 10 ]
Can the no show prevention software send patient scheduling reminders across SMS, email, voice, and the patient portal?
Yes — patient scheduling reminders run across SMS, email, IVR voice, portal, and push, each with one-touch confirm.
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