Is patient consent required for retention calls?
Yes. Consent capture, opt-out, and calling windows are configured during onboarding with your compliance team.
AI Retention Agent
Governed follow-up workflows identify due patients, place empathetic reminder calls in local languages, and capture rebooking intent into your Physical Appointment Dashboard—with consent rules you control.
Desktop license—activate on your machine after verified payment. Not a cloud trial signup.
AI Retention Agent is an outbound patient engagement agent that calls patients before follow-up due dates, asks about health status in approved scripts, reminds them of physician advice, and offers appointment booking into the Physical Appointment Dashboard. It protects repeat-visit discipline for chronic and post-procedure care without inventing clinical decisions.
Due list
Doctor Dashboard + CRM follow-up dates
Outbound call
Empathetic voice in local language
Health check-in
Scripted questions, no diagnosis
Book slot
Appointment + WhatsApp when enabled
An AI Retention Agent automates reminder and rebooking calls for patients who need follow-up visits—chronic disease reviews, post-surgery checks, antenatal schedules, and missed appointments. It is revenue protection through operational discipline, not a replacement for physicians. Hayati positions the agent with consent capture, do-not-call lists, and human escalation when patients report adverse symptoms.
Each day the agent scans follow-up dates marked in the Doctor Dashboard and CRM context you enable. Patients due within your window receive outbound calls in configured languages. The conversation follows approved empathy scripts, offers booking slots that respect doctor calendars, and writes outcomes for staff review. Failed calls retry per policy; sensitive cases route to nurses or reception.
Diabetes and hypertension clinics use retention to reduce gap days between HbA1c reviews. Orthopedic groups remind post-surgery mobility checks. Fertility and dialysis centers depend on cadence adherence. Scripts differ per specialty—marketing pages do not promise one generic script fits oncology and pediatrics alike. Your clinical governance team approves wording.
Patients respond better when reminders sound human and local. The agent uses conversational Hindi, English, Telugu, Tamil, Marathi, Gujarati, and other packs you license. Tone is empathetic, not salesy. The agent does not argue with patients who refuse booking—it thanks them and logs outcome for staff callback.
When a patient agrees to visit, the agent books against live rules on the Physical Appointment Dashboard—the same spine reception uses. Conflicts with doctor leave or OT blocks should fail gracefully with offer of next slot. Staff see AI-booked retention visits tagged for morning confirmation if your policy requires it.
Retention quality depends on knowing which follow-up type applies—post-op day 7 versus annual cardiac review. Hayati reads context you store in CRM and dashboard fields, not guessed from phone number alone. Integration depth is scoped: minimum mobile match and last visit date; maximum specialty tags and medication reminder lines approved by clinicians.
Repeat visits matter for Indian hospitals with thin OPD margins. Hayati does not publish unverified thirty-five percent lift claims on the website. Measure show-rate, days-between-visits, and staff hours saved on callback lists in a pilot ward or clinic site. Compare against your baseline month, not a competitor slogan.
Manual follow-up depends on reception remembering lists at 5 PM when the desk is crowded. AI retention runs morning scans and evening catch-up calls with consistent scripts. Humans remain essential for angry patients, clinical questions, and VIP coordination. Blend AI volume with nurse-led callbacks for high-risk cohorts.
Outbound healthcare calls require consent capture, opt-out honoring, and time-window rules (no late-night dialing). Hayati configures do-not-call flags, specialty exclusions, and recording policies per Indian regulations and your hospital legal review. Agents never promise test results or prescription changes—they schedule visits and capture intent only.
Pricing ties to monthly outbound volume, languages, CRM depth, and branches. Setup includes script approval, consent workflow, dashboard field mapping, and two-week parallel run where staff compare AI bookings to manual reminder outcomes. Chronic-care hospitals should pilot one department before enterprise rollout.
Physician or nurse sets next review date and follow-up type on the patient record.
Daily job builds call list based on dates, consent flags, and specialty rules.
Outbound call typically two days before due date in the patient's preferred language pack.
Empathetic check-in using non-clinical questions; adverse answers trigger escalation.
Reads approved reminder lines only—no new medical instructions from the agent.
Patient may accept, defer, or refuse; each outcome is logged for staff.
Confirmed visits appear on reception dashboard with retention source metadata.
Messaging sent when integrated; staff see booking next business day for prep.
Reception and nursing see booked follow-up on dashboard and queue for smooth check-in.
Yes. Consent capture, opt-out, and calling windows are configured during onboarding with your compliance team.
No. It schedules visits and captures intent. Clinical changes remain with physicians.
Hindi, English, Telugu, Tamil, Marathi, Gujarati, and additional packs per contract—confirm on walkthrough.
Follow-up dates and CRM tags from the Doctor Dashboard drive the daily list—garbage in means wrong calls out.
Scripts trigger immediate escalation to human staff or emergency instructions you approve—never AI-only triage.
Yes, with branch-scoped lists and central CRM when enabled. Role access controls who sees which call outcomes.
Voice conversations handle objections, language preference, and live booking—SMS alone cannot close ambiguous responses.
Yes. Oncology, psychiatry, or sensitive cohorts can be human-only while other departments use AI retention.
Contact rate, booking rate, escalation rate, and show-rate versus your pre-pilot baseline.
Typically three to five weeks including script legal review, pilot department, and parallel run with staff callbacks.
All features: AI Receptionist · AI Retention Agent · Patient Queue Display · Doctor Dashboard · TPA billing · Multi-branch · Pharmacy inventory · GST billing · Offline billing · Queue management
Walkthrough with your follow-up list, languages, and booking rules.