Use case · Healthcare
Post-visit follow-up that scales beyond your nursing desk
Discharged yesterday? Started new medication? SvaraCall AI calls patients at T+1 and T+7 — checks symptoms, reminds medication, and flags concerning responses for clinical callback.
- Post-discharge
- Med adherence
- Symptom triage
- Lab ready alert
68%
Follow-up completion vs 22% manual callback rate
−26%
30-day readmission signals caught early in pilots
4 min
Median follow-up call duration
100%
Concerning symptoms escalated within 15 minutes
Problem
Follow-up falls through after discharge
Indian clinics and hospitals intend to call every post-op and chronic-care patient — but nursing staff are stretched. Patients forget medication, miss warning signs, and readmit. English SMS instructions fail on vernacular-speaking elderly patients.
Today
Follow-up gaps
- 1Discharge summary given — patient doesn't read medication schedule.
- 2Nurse intended to call T+1 — only 20% of list completed.
- 3Symptom worsening discovered at emergency revisit — preventable.
- 4Lab report ready — patient never notified, doesn't collect.
- 5No structured triage — every call treated same urgency.
With SvaraCall
Clinical follow-up workflow
- 1Discharge or procedure event triggers T+1 and T+7 call schedule.
- 2Agent checks pain level, medication taken, diet, and red-flag symptoms.
- 3Red-flag responses → immediate nurse callback with transcript.
- 4Lab-ready trigger calls patient to collect report or explains tele-report.
- 5All outcomes logged to HMS — no advice beyond approved script.
Care continuity outcomes
Complete follow-up coverage
Every discharged patient called — not just VIP manual subset.
Early escalation
Red-flag triage routes to nurse before ER visit.
Medication adherence
Voice reminder beats paper discharge summary for elderly patients.
Vernacular care
Telugu and Hindi follow-up for AP, Telangana, and UP patient bases.
Follow-up program ROI
- Preventable readmission signals in pilot cohort
- −26%
Preventable readmission signals in pilot cohort
- Nursing hours redeployed quarterly at 40-bed facility
- ₹2.3L
Nursing hours redeployed quarterly at 40-bed facility
- Patient satisfaction on post-visit experience
- +18 pts
Patient satisfaction on post-visit experience
Post-discharge follow-up (Telugu)
Agent: Namaskaram, Sunrise Hospital nundi — mee surgery tarvata ela unnaru? Customer: Konchem pain undi, manageable. Agent: Prescribed tablets time ki teesukuntunnara? Customer: Avunu, morning and night. Agent: Pain penchithe immediately call cheyandi — nurse ki escalate chestam. Repu check-in call vastundi.
Follow-up deployment
Step 1
Clinical script review
Red-flag keywords and escalation paths approved by medical lead.
Step 2
HMS trigger
Discharge, procedure, and lab-ready events from hospital system.
Step 3
Escalation SLA
Nurse callback within 15 minutes on flagged symptoms.
Step 4
No-advice guardrail
Agent never diagnoses — only approved check-in questions.
Patient follow-up FAQs
- Can AI give medical advice?
- No. Follow-up scripts are check-in only — any clinical question escalates to licensed staff.
- HIPAA or Indian healthcare data rules?
- DPDP-aligned storage; recordings access-controlled; PHI handling per your DPA.
- Post-surgery vs chronic care scripts?
- Separate workflows with procedure-specific red-flag lists.
- Patient opts out of follow-up calls?
- Honored immediately; alternative SMS reminder optional per policy.
- Telugu for rural patient base?
- Telugu, Hindi, English — language from admission record or ask on call.
Extend care beyond discharge with scaled follow-up calls
Connect HMS discharge events and run T+1 follow-up on next week's patients — measure callback completion.
Hear it call.
We'll place a live SvaraCall to your own phone, in Telugu, Hindi, or English.
Book a pilotGet a demo call