Appointment handling
Conversational AI and voice automation can support suitable booking, rescheduling and appointment-related queries.
Healthcare
Reduce administration around appointments and referrals
ETT helps healthcare teams reduce the administrative handling behind booking and rescheduling, incomplete referral information and administrative routing. This is administrative work, not clinical triage: decisions requiring professional judgement stay with clinicians.
Where we start
The workflows we lead with in this sector
Proposed use cases based on how this work is usually organized. None of these is a published client result.
Booking and rescheduling
Handling appointment requests, changes and cancellations against the actual schedule, with the rules about who may be booked into which slot applied consistently.
Missing referral information
Checking an incoming referral for the administrative fields the pathway requires and requesting what is absent, so the referral is not returned weeks later.
Administrative routing
Getting correspondence and requests to the right administrative team. This is routing by administrative category, not clinical triage, and it does not assess urgency or need.
How it would be measured
Measures to agree before anything is built
A baseline taken after the fact is not a baseline. These are the measures we would ask you to agree, and what each one means, so the before-and-after comparison holds up.
| Measure | What it means |
|---|---|
| Administrative handling time | Staff time per referral or booking task, measured across a comparable period. |
| Completion rate | Tasks completed without a person having to intervene, reported alongside what the interventions were. |
| Routing accuracy | Proportion routed to the correct team first time, audited against a reviewed sample. |
| Escalation quality | Whether the receiving team had what it needed to act without going back to the sender. |
Who this is for
Head of Operations or Patient Access, with the information governance lead and a clinical representative for anything touching a pathway.
What has to be true first
- Information governance approval, agreed before any data is accessed
- A clear boundary agreed in writing between administrative handling and clinical decision-making
- Access to the patient administration system, and the identity model that governs it
The challenge
What teams in this sector face
Healthcare teams often carry heavy administrative and communication workloads.
Appointment requests, referral updates, patient queries, internal routing, documentation and follow-up tasks can create pressure across teams that are already stretched.
At the same time, healthcare organizations must handle sensitive information carefully. Any AI or automation needs to be designed with data protection, governance, escalation and human oversight built in from the start.
ETT helps healthcare organizations identify where AI can support repeatable operational work while keeping sensitive processes controlled and accountable.
Where AI can support
Practical use cases
Referral workflow support
Automation can help route referral information, flag missing details and support handovers between teams.
Patient admin automation
AI can help gather, structure and route information for repeatable administrative tasks.
Administrative routing
Workflows can direct correspondence and requests to the right administrative team by category, escalating anything sensitive, unclear or clinical to a person. This is administrative routing, not clinical triage.
Data readiness and governance
Healthcare AI needs clear data visibility, classification and governance before automation is scaled.
Example workflow
Example workflow: from appointment query to routed action
One request, end to end. Each stage shows what happens and the ETT solution behind it, with people kept in control wherever judgement is needed.
Illustrative workflow. The actions, integrations and controls are defined for each deployment. This is not a customer result.
- 01Patient queryConversational AI and Voice Automation
- 02Intent recognizedConversational AI and Voice Automation
- 03Information checkedData and Analytics for AI
- 04Approved workflow triggeredAgentic AI and Automation
- 05Escalation if neededvCISO for AI
- 06Admin dashboard updatedData and Analytics for AI
Each stage in detail below, with the systems involved and where a person stays in control.
Patient query
A patient asks to book, reschedule or check a referral by phone or message. Routine demand is handled the moment it arrives, day or night.
Typical technologiesPolyAIPhone / SMS / web
How ETT helpsConversational AI and Voice AutomationIntent recognized
The assistant understands the request and confirms identity within clear, governed boundaries. It only ever operates inside what it is permitted to do.
Typical technologiesOpenAIIdentity checks
How ETT helpsConversational AI and Voice AutomationInformation checked
Permitted administrative information is retrieved under a named service identity, scoped by role-based permissions, with every access written to an audit log. What the workflow may read is defined per deployment and reviewed with your information governance lead.
Typical technologiesPAS / EHRRBAC & identityAccess logging
How ETT helpsData and Analytics for AIApproved workflow triggered
Only pre-approved, low-risk admin actions run automatically, such as booking a slot or routing a referral. The bar for autonomy is set deliberately low.
Typical technologiesUiPathBooking & referral systems
How ETT helpsAgentic AI and AutomationEscalation if needed
Anything clinical, sensitive or unclear stops and goes to a person with the full context attached. The workflow does not assess clinical urgency or need — that judgement stays with the people qualified to make it.
Typical technologiesHuman-in-the-loopDefined escalation route
How ETT helpsvCISO for AIAdmin dashboard updated
Records and dashboards update so teams keep oversight, and every step stays auditable. Governance and visibility move together.
Typical technologiesAudit logOperational dashboards
How ETT helpsData and Analytics for AIWhen it cannot complete
A required administrative field is absent, the identity check does not pass, or the request needs clinical judgement. It is routed to a person, every access is logged, and the system does not infer clinical intent or urgency to fill the gap.
Where to start
One administrative pathway, with governance agreed first
We start with the information governance position, not the technology: what data is accessed, by which identity, logged how, and what escalates to a person. Then one administrative pathway is built against that, with clinical judgement explicitly out of scope.
The solutions involved
- Conversational AI and Voice AutomationFor supporting suitable appointment queries, patient communication, routing and high-volume repeatable interactions.
- Agentic AI and AutomationFor connecting admin tasks, referral workflows, internal routing and operational handovers across systems.
- Data Discovery and Classification for AIFor identifying, classifying and preparing sensitive healthcare data before it is used in AI workflows.
- vCISO for AIFor governance, compliance, risk controls and oversight around healthcare AI deployment.
- Data and Analytics for AIFor improving visibility across workflows, patient communication patterns and operational bottlenecks.
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ExploreFAQs
Common questions
How can AI automation support healthcare teams?
It can help with appointment handling, referral workflows, patient administration, communication routing and operational visibility.
Can AI handle healthcare appointments?
AI can support suitable appointment-related tasks such as booking queries, rescheduling support, reminders and routing. Sensitive or complex cases should still be escalated to people.
Does AI replace healthcare staff?
No. AI should support healthcare teams by reducing repetitive admin, improving routing and helping people focus on tasks that need judgement, empathy or clinical expertise.
Why is data governance important for healthcare AI?
Healthcare data is sensitive and often regulated. Data governance helps control how information is accessed, used, protected and reviewed within AI systems.
Can conversational AI be used in healthcare?
Yes, but it needs careful design. It can support suitable patient communication and admin workflows, with clear boundaries, escalation routes and governance controls.
Ready to explore safer AI automation for healthcare workflows?
Request an AI session to explore where AI could support appointment handling, referral workflows, patient admin and operational communication, with the right governance and controls in place.
Around four minutes. Indicative guidance based on your answers.