Missed Appointments Are Costing Clinics Billions Annually
No-show rates of 20–30% leave clinics with empty slots, wasted time, and delayed care for the patients who need it most.
Lost Revenue
Every no-show costs clinics hundreds of dollars in missed revenue and unused staff time. Some practices lose up to 30% of their scheduled visits each month.
Poor Patient Outcomes
No-shows disrupt continuity of care, especially for patients managing mental health or chronic conditions. Delays can mean setbacks in treatment.
Inefficient Workflows
Staff spend hours chasing confirmations and managing reschedules manually—slowing down the clinic and straining operations.
Limited Data, Limited Action
Most clinics don’t have access to advanced analytics or patient behavior insights—making it hard to predict or prevent missed appointments.
Intelligent Prediction. Personalized Engagement. Fewer No-shows.
Our AI model identifies which patients are most likely to miss their appointments, using only non-sensitive data and insights from evidence-based research.
Then, it automatically sends personalized reminders at just the right time, through the right channels—email, SMS, and voice—based on each patient’s profile.
Clinics reduce no-shows by up to 25%, without adding work for their staff or compromising patient privacy.
Our Partners
Ready to Recover Missed Revenue And Improve Patient Care?
-
Fewer No-Shows: Boost revenue, improve care continuity, and fill your schedule with fewer gaps.
-
No Sensitive Data Required: Avoid compliance complexity while protecting patient privacy and trust.
-
Personalized Outreach: Reach patients in the right language, tone, and timing for stronger engagement.
-
No Extra Burden on Staff: Automate your reminder flow so your team stays focused on what matters most.
-
Smarter Communication Over Time: Our system learns from patient response patterns and gets better with every appointment.
Founder's Note
"This isn't just tech. It’s human-centered care, made smarter."
As a former growth marketer, I saw how personalization can transform engagement. I created SmartHealth AI to bring that same power to healthcare—reducing no-shows with smart, compassionate reminders that truly connect with patients.
Trang Bui
Founder, SmartHealth AI
Q&A
Q: How accurate is the prediction model?
A: Our MVP model is trained using data-backed risk factors and real-world studies. In pilot environments, similar systems have reduced no-show rates by up to 25%. Accuracy improves over time as more data is gathered.
Q: Can SmartHealth AI integrate with our existing EMR or scheduling system?
A: Yes. We’re building lightweight, flexible integrations for popular systems. We also offer a standalone dashboard for clinics that prefer not to integrate directly. Contact us to join the pilot and lock in early access.
Q: How does pricing work?
A: We offer tiered pricing based on clinic size and volume of appointments. Our pilot program is currently open for early adopters at a discounted rate.