Healthcare

The clinical decision stays with the physician; agents carry prior authorisation, intake and scheduling.

In hospitals and health groups most time goes to documents, forms and phone calls: payer prior authorisation, patient intake, appointment changes. Aginies takes that operational load with agents connected to the HIS, payer portals and communication channels; every clinical decision stays with physicians and nurses, and patient data never leaves the institution.

In short

In Healthcare, Aginies offers 4 live agent scenarios and 3 solution packages: Patient journey coordinator: appointment, preparation, approval and results, Prior authorization, Patient intake and triage, Appointment scheduling and no-show reduction, Call centre quality monitoring; solutions: Voice AI for claims intake, Healthcare operations & clinical guidance, KVKK / GDPR personal data protection. The blockers on the way to production are Prior-authorisation delay, Intake and triage load, No-shows, Data sensitivity; on the compliance side 3 requirements (including Special-category health data stays inside the institution; models on-prem, no external dependency) are part of the deployment.

Why it does not reach production
01

Prior-authorisation delay

Payer rules are scattered; collecting documents and writing rationale takes hours per case.

02

Intake and triage load

Symptoms are taken by phone, transcribed into forms, then asked again.

03

No-shows

No-show rates are high; freed slots are not refilled.

04

Data sensitivity

Health data is special-category; cloud assistants do not pass the compliance team.

Where to start: the first 90 days

Three starting points; each measurable in a short pilot on existing systems.

  1. 01
    agent scenarioPatient journey coordinator: appointment, preparation, approval and results →

    Scheduling and preparation carry no clinical decision; a fast start with no-show rate measured immediately.

  2. 02
    agent scenarioPrior authorization →

    Insurer pre-approval is document-heavy and rule-based; it shortens reimbursement time.

  3. 03
    agent scenarioPatient intake and triage →

    Intake and pre-assessment run with nurse approval; it organises the emergency load.

Scenarios

Agents you can watch live for this sector

HealthcareHITL

Patient journey coordinator: appointment, preparation, approval and results

The patient writes or calls; appointment, preparation instructions, insurer pre-approval and result notice come together in one coordinator.

58,000 runs / month 95.1% success 5 agents
HealthcareHITL

Prior authorization

Payer rules searched, clinical evidence gathered and the packet ready to submit within minutes of the order.

6,200 runs / month 94.1% success 4 agents
HealthcareHITL

Patient intake and triage

The patient types or talks; intake and urgency scoring take seconds, and a nurse always makes the final call.

24,500 runs / month 95.8% success 5 agents
Healthcare

Appointment scheduling and no-show reduction

High no-show-risk patients are reached on WhatsApp in advance; freed slots are refilled from the waiting list.

62,000 runs / month 98.2% success 4 agents
Enterprise FunctionsHITL

Call centre quality monitoring

Every call scored against the rubric, not a sample; compliance breaches and coaching flags ready by morning.

90,000 runs / month 98.8% success 4 agents
Sector architecture

Derived from the 4 scenarios in the sector: supervisors, specialist agents, Hub model families and systems touched.

Supervisors
Patient Journey SupervisorPrior Auth SupervisorTriage SupervisorAppointment Supervisor
Specialist agents
Dialogue AgentScheduling AgentClinical Preparation AgentInsurer AgentOrder AgentPayer Rules AgentSubmission AgentVoice AgentSymptom AgentUrgency AgentRouting AgentNo-show Risk AgentBooking Agent
Models (Hub catalogue)
aginies-talay-2aginies-sunkar-1aginies-tulpar-4aginies-konrul-1aginies-voice-tr-v3
Systems touched
WhatsApp BusinessHospital Information SystemSchedulingInsurer PortalLab / ImagingEHR (HL7/FHIR)Payer Policy Vector StorePayer PortalExchange / M365 MailHIS SchedulingTriage Protocol Vector StoreWhatsApp Business APIHospital Information System (HIS)SMS Gateway
Channels
whatsappvoiceappapiemailwebsmsbatch
Simulation volumes
150,700runs / month
96.4%success rate
7.3 smedian duration
$0.0023estimated cost / run

Summed from the simulation definitions of the sector scenarios; recalculated for your scale in the discovery session.

Compliance and sovereignty
  • Special-category health data stays inside the institution; models on-prem, no external dependency
  • Every step of clinical nature under physician or nurse approval
  • Masking, access logging and audit trail aligned with privacy and health regulation
Regulatory frame
  • Personal health-data regulation and special-category data: health data inside the hospital perimeter, access by role and purpose, every access logged
  • Ministry hospital-information and national health-record integration rules: the agent acts through the HIS and keeps no separate data copy
  • Clinical decisions with the physician: the agent prepares, queries and organises; physician approval card when in doubt
Security →
Recommended deployment

On-prem in the hospital data centre; models inside, no external connection. For hospital groups, a dedicated tenant in the group data centre.

Approval rules

Human-approval thresholds of the sector scenarios.

  • Patient journey coordinator: appointment, preparation, approval and resultsDrug interaction, suspected contraindication or extra test need → physician approval
  • Prior authorizationSurgical procedure or cost > 25,000 TL → utilisation management nurse approval
  • Patient intake and triageA triage nurse confirms the urgency level on every case; "emergency" cases are directed to 112 immediately
Measured targets
No-show rate30–40% lower
Pre-approval completion timeFrom days to hours
Call-centre average handling time35% shorter

Target ranges from comparable deployments; baseline and target are fixed together in the first week of the pilot.

Related solution packages

Time to move from experimenting with AI to transforming with it.

In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.

Book a 30-minute discovery session → dahi@aginies.com
  1. Your 2–3 priority problems
  2. Live demo of a similar scenario
  3. Roadmap starting with value analysis