Healthcare & Clinic AI Telephony

Streamlining Patient Telephony

Hospitals, diagnostic laboratories, and medical clinics waste valuable staff hours calling patients manually to coordinate clinical slots, confirm scheduling, verify prescription details, and handle follow-up consultations. When clinic staff spend their days dialing patients, they are distracted from providing critical in-person care. Furthermore, patients experience frustration with long wait times, missed calls, and slow response loops.

Closerr automates these patient voice interactions securely, ensuring complete compliance and reliability. Our AI voice assistants check practitioner availability in real time, book appointment dates, remind patients of medical preparations (e.g., fasting requirements before a test), check prescription refill requests, and coordinate appointment cancellations. The automated voice interface feels natural and respects the patient's time, resulting in higher operational efficiency for your clinic.

Automated Patient Appointment Reminders

Outpatient clinics and diagnostic centers face significant operational inefficiencies and financial losses due to missed appointments (no-shows). Closerr mitigates this problem by automatically triggering patient reminder calls 24 to 48 hours prior to scheduled medical visits. The voice agent converses naturally with the patient, confirms their attendance status, records their confirmation in the system, or coordinates a reschedule if the patient request has changed.

If the patient needs to reschedule, the voice agent checks practitioner availability, locks the new appointment slot, updates the clinic's internal patient management registry, and immediately sends a confirmation SMS containing preparation guidelines. This proactive communication reduces clinic no-shows, optimizes practitioner schedules, and allows administrative staff to focus on critical in-person care.

Healthcare Data Privacy & Patient PII Masking Architecture

Processing medical data requires the highest level of security to comply with global medical data privacy principles and local data protection rules in India. Closerr handles patient information using strict data scrubbing and encryption rules. Call records and voice audio streams are encrypted both in transit (using TLS 1.3) and at rest (using AES-256 databases).

Our backend integrates automated sanitization regex models that detect, redact, and mask PII (such as national identity numbers, home addresses, and specific diagnoses) from stored call transcripts:

PII Sanitization Pipeline:
[Raw Speech Input] -> (Speech-to-Text) -> "Patient Aadhaar number is 1234-5678-9012"
                                                        |
                                                        v (Regex Redaction Engine)
[Secure Log Store]  <- [Saved Transcript] <- "Patient Aadhaar number is [REDACTED]"

Additionally, hospital administrators can configure custom retention rules, ensuring call transcripts are purged immediately after verification to maintain data minimization guidelines. Access to remaining telemetry records is restricted via multi-factor authentication and role-based permissions.

EMR/EHR Database Integrations & FHIR Schemas

Closerr connects directly with Electronic Medical Record (EMR) and Electronic Health Record (EHR) systems (such as Epic, Cerner, and custom clinic database schemas) via secure HL7/FHIR API endpoints. This integration ensures patient metrics, scheduling codes, and follow-up logs stay synchronized automatically.

To support standard healthcare integrations, Closerr formats all voice scheduling metadata into standard FHIR JSON payloads before updating EHR databases. When a patient schedules or reschedules a clinic visit over the phone, our system converts the voice intents into structured FHIR resources. An example payload mapping shows how scheduling data is prepared:

{
  "resourceType": "Appointment",
  "status": "booked",
  "specialty": [{
    "coding": [{
      "system": "http://snomed.info/sct",
      "code": "408443003",
      "display": "General medical practice"
    }]
  }],
  "description": "Voice AI Booking - Closerr",
  "start": "2026-06-22T10:00:00+05:30",
  "end": "2026-06-22T10:30:00+05:30",
  "participant": [
    {
      "actor": {
        "reference": "Patient/pat_8819028",
        "display": "Rohan Sharma"
      },
      "status": "accepted"
    },
    {
      "actor": {
        "reference": "Practitioner/prac_33012",
        "display": "Dr. Aditi Patel"
      },
      "status": "accepted"
    }
  ]
}

This format ensures compatibility with hospital IT infrastructures. Our mapping logic handles cross-resource links, verifying patient IDs (`Patient` resource) and practitioner IDs (`Practitioner` resource) against active indices before executing the `Appointment` status update, avoiding database conflicts.

Compliance-First Patient Outreach

All outbound patient outreach campaigns require direct user verification under legal telemarketing guidelines. Closerr operates strictly as a data processor for clinics, executing calling campaigns only when backed by valid consent data and transactional triggers. We support configuration interfaces that check consent variables prior to dialing, and store transaction logs for customer convenience.

Additionally, patient data minimization is enforced at the database level. Our security controls support database configuration options to manage retention periods for call records, helping healthcare systems align with data minimization principles and privacy guidelines globally.

For patient safety, our voice agents include clinical triage routing protocols. If a patient expresses urgent medical symptoms, severe distress, or emergency indicators during a conversation, the AI assistant immediately suspends standard FAQ/booking routines. It plays a pre-configured critical notice advising the patient to call emergency services, and attempts a hot transfer to the clinic's active medical triage team using a dedicated priority SIP channel, ensuring patient care guidelines are maintained. Our voice gateways are active 24/7, guaranteeing that patient queries are answered without delay.