AI predicts demand, reduces no-shows, and routes patients to the right care first time.
Clinics were juggling no-shows, overbooked slots, and uneven staff load. We implemented an AI layer that forecasts appointment demand by location and specialty, predicts no-show risk, and recommends slot rebalancing. A triage assistant collects structured symptoms and routes patients to the right modality—virtual, urgent, or in-person—so clinicians see the right cases at the right time.
Unpredictable attendance wasted capacity and increased wait times.
Some clinics were overloaded while others had idle capacity.
Free-text symptoms made routing inconsistent and slowed clinicians.
Rescheduling complexity and unclear instructions lowered satisfaction.
AI flags risky bookings and triggers reminders or double-booking windows.
Demand predictions by clinic/specialty guide staffing and slot allocation.
Dynamic questionnaires produce clean hand-offs to EHR notes.
Patients reschedule via links; slots auto-released to waiting lists.
KPIs—wait time, utilization, no-show rate, patient satisfaction.
Integrate calendar, EHR intake, and messaging.
Start with one specialty and expand progressively.
Retrain monthly; drift monitoring keeps predictions accurate.
Dashboards for schedulers; alerts for high-risk sessions.
Schedulers can override with reasons—useful for clinical exceptions.
Forms adapt to local language and reading level to improve completion.
Regular bias checks on risk models protect against unfair outcomes.
Fewer last-minute gaps and better clinician utilization.
Patients routed correctly without repeat booking.
Fewer calls and manual reschedules for staff.
Clear instructions and reminders reduce confusion.
Risk scores trigger smart reminders or double-booking windows to protect capacity.
Forecast demand by clinic/specialty to staff the right skills at the right time.
Structured triage sends patients to virtual, urgent, or in-person care—first time right.
Patient links free up staff and auto-fill cancellations from waitlists.
Better scheduling is better care. Predictive demand and smart intake create calmer clinics, happier patients, and more time for clinicians to do clinical work.
Started in 2013 as a self-taught developer, now leading a 20+ member team.
Built long-term partnerships with US brands like Convoso.
Empowered 100+ businesses — from local SMBs to funded startups and US enterprises.
