AI automation for healthcare: appointments, patient follow-up, data compliance

Appointment chaos, MHRS integration, KVKK-compliant patient data and billing reconciliation — resolve the repetitive load of healthcare operations with AI.

Sectors: Healthcare

  • 30-40 % of MHRS-booked appointments end in no-shows or late cancellations — physician time wasted.
  • KVKK-scope patient data is scattered across systems (HIS, LIS, imaging, billing) with no unified access-audit trail.
  • SGK billing reconciliation, reimbursement coding and dispute processes lock accounting teams into 5-6 days every month.
  • Chronic patient follow-up (diabetes, hypertension, oncology) — appointment reminders and test-result delivery are fully manual; patients frequently miss the cycle.
  • Smart appointment reminder: integrated with MHRS or private HIS, WhatsApp/SMS 48 h and 2 h before; patients who cancel automatically receive a replacement slot offer and the freed slot is re-offered to the waitlist.
  • KVKK-compliant data access layer: role-based access restrictions across HIS, LIS and imaging; every access event stored in an immutable log; KVKK requests (erasure, portability) trigger automated workflows.
  • SGK reconciliation bot: auto-matches billing items by ICD/SUT code, flags miscoded lines before dispute, outputs in the exact SGK portal format — cutting 5-6 days of monthly effort to one.

Example: A multi-branch polyclinic chain in İstanbul

6 branches, 74 doctors, 1,100 daily appointments. 36 % of appointments were lost to no-shows or last-minute cancellations, amounting to 480 wasted physician-hours per month. SGK billing close took 6 days and occupied a 3-person team. Setviva activated three layers simultaneously: (1) a dual MHRS + private HIS appointment reminder — no-show rate fell from 36 % to 14 % in 6 weeks; (2) KVKK-compliant access logging — role-based restrictions across all 6 systems, first compliance report generated for the board in 3 hours; (3) SGK reconciliation bot — 2,950 of 3,200 monthly billing lines auto-matched, monthly close down from 6 days to 22 hours. The chronic patient loop (312 diabetes, 198 hypertension) is kept live via WhatsApp test-result alerts and follow-up appointment reminders.