Healthcare · Customer interaction & experience

Healthcare operations & clinical guidance

Smart triage and patient referral; clinical decisions always stay with clinicians.

In short

Healthcare operations & clinical guidance is an Aginies solution package for the Healthcare sector in the “customer interaction & experience” area. What the agents do: Patient requests and complaints are analysed; urgency and the right department determined by the institution’s triage protocol; the scheduling agent proposes the best slot from clinician calendars and capacity; reminders and rebooking are automatic. Expected outcomes: patients routed to the right department and time at first contact; fewer no-shows, higher capacity utilisation; clinical teams relieved of administrative load. The package uses the Intent detection, Triage protocol guardrails, Scheduling tools (MCP), Human-in-the-loop capabilities of the Aginies platform and can be watched live through the Patient journey coordinator: appointment, preparation, approval and results, Patient intake and triage, Appointment scheduling and no-show reduction, Prior authorization scenarios in the agent library.

The problem

Patient requests pile up across call centre, portal and messaging; wrong-department bookings and no-shows erode capacity. Clinical teams spend their time on administrative routing.

What the agents do
  1. 01Patient requests and complaints are analysed; urgency and the right department determined by the institution’s triage protocol.
  2. 02The scheduling agent proposes the best slot from clinician calendars and capacity; reminders and rebooking are automatic.
  3. 03Prior-authorisation and referral documents are prepared; missing information is requested from the patient.
  4. 04Red-flag symptoms escalate to a clinician immediately; diagnosis and treatment decisions never sit with the agent.
Package scope
  • Appointment, pre-registration, preparation and result notice in one coordinator
  • Insurer pre-approval and public/private insurer queries
  • Preparation and contraindication checks tied to clinical protocols
  • Call centre and WhatsApp channel; approval card to the physician
What you need to start
  • API access to the hospital information and scheduling systems
  • Clinical protocols and the preparation instruction set
  • Patient identity verification and consent records
Architecture

Derived from the linked scenarios: the supervisors, specialist agents, models and systems that run this package.

Supervisors
Patient Journey SupervisorTriage SupervisorAppointment SupervisorPrior Auth Supervisor
Specialist agents
Dialogue AgentScheduling AgentClinical Preparation AgentInsurer AgentVoice AgentSymptom AgentUrgency AgentRouting AgentNo-show Risk AgentBooking AgentOrder AgentPayer Rules AgentSubmission Agent
Models (Hub catalogue)
aginies-talay-2aginies-sunkar-1aginies-tulpar-4aginies-voice-tr-v3aginies-konrul-1
Systems touched
WhatsApp BusinessHospital Information SystemSchedulingInsurer PortalLab / ImagingEHR (HL7/FHIR)HIS SchedulingTriage Protocol Vector StoreWhatsApp Business APIHospital Information System (HIS)SMS GatewayPayer Policy Vector StorePayer PortalExchange / M365 Mail
Channels
whatsappvoiceappsmsbatchapiemailweb
Simulation volumes
150,700runs / month
96.4%success rate
7.3 smedian duration
$0.0023estimated cost / run

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

Outcomes
  • Patients routed to the right department and time at first contact
  • Fewer no-shows, higher capacity utilisation
  • Clinical teams relieved of administrative load
Capabilities used
Intent detectionTriage protocol guardrailsScheduling tools (MCP)Human-in-the-loopSensitive data maskingFull audit trail
Explore the platform →
Measured targets
No-show rate30–40% lower
Procedures postponed for missing preparation50% fewer
Average handling time at the call centre35% shorter

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

Governance and approval rules

Scenario-level approval rules plus the package’s general controls.

  • Patient journey coordinator: appointment, preparation, approval and resultsDrug interaction, suspected contraindication or extra test need → physician approval
  • Patient intake and triageA triage nurse confirms the urgency level on every case; "emergency" cases are directed to 112 immediately
  • Prior authorizationSurgical procedure or cost > 25,000 TL → utilisation management nurse approval
  • packageClinical decisions never sit with the agent; physician approval when in doubt
  • packageHealth data processed inside the hospital perimeter; access by role and purpose
Rollout
  1. 1 · Discovery and design · 2–3 weeksThe 20 most frequent intents and transactions are chosen, identity and approval thresholds written with information security, channel and system integrations listed.
  2. 2 · Pilot · 4–6 weeksOne channel, a limited customer group; the test corpus runs, a human representative shadows, thresholds tuned on real traffic.
  3. 3 · Scale-outRemaining channels and transactions added; dashboards, SIEM forwarding and kill-switch handed over; monthly model and rule review begins.

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