NEWMindMap Digital has acquired Bluetide.co— deepening our data & agentic-AI stack.Read more →
Home · Customer Stories · UK Telehealth Provider
Healthcare · United Kingdom

Triage-and-Booking AI at a UK Telehealth Provider — 71% Demand Deflection, Same-Day Clinician Slots

ChatNext + Clinical Pathway Engine delivering NHS-compatible triage-and-booking — clinically safe, demand-routed and culturally appropriate.

71%
Demand deflected from clinician
24w
Delivery duration
Private Cloud
Deployment
4
Accelerators used
Private CloudUK Telehealth Provider — 71% Demand deflected from clinician
71%
Demand deflected from clinician slots
Same-day
Clinician slot availability
NICE
Clinically-validated pathways
12,000
Daily triage interactions
In this storyHealthcareTelehealthTriageNHS-IGUK
01
The challenge

The challenge

The client — a UK telehealth provider delivering services to a mix of NHS and private-pay patient populations — was facing a structural demand-supply mismatch. The provider's clinician network (GPs and nurse practitioners delivering telehealth consultations) was constrained, while patient demand was growing faster than the network. Average wait-time for a clinician slot was 7 days for non-urgent appointments, with urgent cases being deflected to the NHS-111 service or to the NHS A&E system in a pattern the provider's clinical leadership considered both inefficient and clinically suboptimal.

The traditional approach — adding clinicians — was constrained by the structural shortage of UK GPs. The provider's clinical leadership had concluded that the answer was structural: a meaningful fraction of the demand reaching the clinician network did not actually require clinician judgement, and could be appropriately handled through self-care guidance, signposting to community pharmacy, signposting to alternative NHS services, or appropriate clinician handoff with the right context.

The constraints were clinical-safety-led. Any triage-and-booking AI had to operate within clinically-validated pathways — the provider's clinical leadership would not deploy a system that made clinical judgements outside evidence-based guidance. NHS Information Governance Toolkit compliance applied. The patient population spanned a wide range of digital literacy and language preferences. And the provider's CCIO had been explicit that the AI must not be perceived by patients as a gatekeeper denying them clinical care.

02
The approach

The approach

MindMap deployed a triage-and-booking platform composed of ChatNext (Cn) as the conversational triage interface, Clinical Pathway Engine (Cp) as the clinically-validated pathway logic, Patient Scheduler (Ps) as the booking-and-routing layer, and Multi-Channel Agent (Mh) for the WhatsApp, web and app channel mix.

Phase one was the pathway-library build. The provider's clinical leadership selected approximately 180 clinical pathways covering the high-volume conditions the service was seeing (minor illness, dermatological complaints, sexual health, mental-health screening, women's health, paediatric minor illness, men's health and a long tail). Each pathway was based on the relevant NICE Clinical Knowledge Summary or NHS clinical-pathway guidance, with the clinical leadership signing off the pathway logic.

Phase two was the conversational triage build. The triage conversation walks the patient through the clinically-validated pathway questions for their presenting complaint, with the conversation adapting to the patient's responses and the conversation tone calibrated to be appropriately empathetic without being clinically over-reassuring. The conversation language is plain-English with culturally-appropriate phrasing and accessibility support.

Phase three was the routing logic. Based on the pathway outcome, the patient is routed to one of: self-care guidance (with explicit advice on when to escalate if the condition worsens), community pharmacy (where the pathway indicates a pharmacy-managed condition), alternative NHS service (where the pathway indicates a different service provides better care), same-day clinician appointment (where the pathway indicates clinician judgement is required), urgent clinician appointment (where the pathway indicates rapid clinician contact is required), or 999 / A&E (where the pathway indicates a clinical emergency).

Phase four was the clinician-handoff context. For patients routed to a clinician appointment, the triage conversation produces a structured clinical summary that the clinician receives at the start of the appointment — the presenting complaint, the relevant history, the pathway findings, the system's confidence on the routing decision. This eliminates much of the clinician's history-taking time at the start of the appointment.

Accelerators in this engagement

The pre-built building blocks

Rather than commission a ground-up build, the engagement leaned on MindMap's pre-built accelerator library — production-tested components that compress what would otherwise be a six-to-nine-month build into weeks.

Cn

ChatNext

Conversational triage interface in plain-English UK patient tone

Cp

Clinical Pathway Engine

NICE-aligned clinically-validated pathway logic

Ps

Patient Scheduler

Booking-and-routing across clinician and alternative-service destinations

Mh

Multi-Channel Agent

Web, app and WhatsApp channel unification

03
The architecture

The architecture

The platform runs on the provider's UK-region Azure tenant with full NHS Information Governance Toolkit compliance. All patient interaction processing happens in the UK; no patient data is sent to any non-UK API.

ChatNext's conversational layer uses a fine-tuned Llama 3.1 70B variant trained on the provider's historical triage-and-consultation corpus (with appropriate de-identification). The model is constrained to the pathway logic — it cannot invent clinical pathways or generate clinical advice outside the validated pathway library — and is calibrated for the empathetic, plain-English tone the provider's clinical leadership has defined.

Clinical Pathway Engine encodes the 180 pathways in a structured format that the platform evaluates against the patient's conversation responses. Each pathway has explicit decision-points, evidence citations, and escalation triggers. The pathway library is version-controlled and clinically-reviewed on a defined cadence; pathway updates flow into production through a clinical-governance approval workflow.

Patient Scheduler handles the booking-and-routing across the multiple destination channels (clinician calendar, community-pharmacy referral, alternative-NHS-service signposting, urgent-care routing). The clinician-calendar integration uses the provider's existing scheduling platform; the alternative-NHS routing uses the relevant NHS service-finder APIs.

The audit trail captures every triage interaction, every pathway evaluation, every routing decision, and every clinician interaction outcome. The provider's clinical-governance team has direct access to the audit trail for clinical-safety review; the Care Quality Commission has been granted appropriate inspection access under the provider's regulatory framework.

The outcomes

The numbers behind the story

71%
Demand deflected from clinician slots
Same-day
Clinician slot availability
NICE
Clinically-validated pathways
12,000
Daily triage interactions

Approximately 71% of patient demand is now handled without consuming a clinician slot — either through self-care guidance, community-pharmacy signposting, alternative-NHS-service routing, or other appropriate pathway outcomes. The remaining 29% reaches a clinician slot, with same-day availability now the standard rather than the exception.

Clinical-safety outcomes have been validated through extensive clinical-governance review. The provider's clinical leadership has reviewed the platform's pathway-outcome distribution against the comparable manual-triage baseline and concluded that the platform's clinical safety is equivalent to or better than the manual baseline, with the additional benefit of consistent pathway-adherence that human triage cannot guarantee.

Patient-experience outcomes have improved meaningfully. The provider's patient-experience research shows that patients value the speed of the triage process, the explicit explanation of why they are being routed to a specific destination, and the certainty of same-day clinician availability when clinician care is indicated. The previous experience of being placed on a waiting list with uncertain wait-time was a major dissatisfaction driver that the new approach has eliminated.

Clinician experience has improved as well. The clinicians receive a structured clinical summary at the start of each appointment, eliminating the history-taking time at appointment start. The clinicians' working theory is that they are seeing a higher proportion of the cases that genuinely require their judgement, rather than spending appointment time on cases that could have been resolved through self-care guidance.

An unexpected outcome: the platform's pathway-outcome data has become a source of population-health insight for the provider. The provider's clinical leadership uses the aggregated pathway-outcome patterns to identify emerging public-health patterns (seasonal infections, mental-health demand surges, regional variations in specific conditions) faster than the previous appointment-based data would have surfaced them.

We had a structural demand-supply problem that adding clinicians alone could not solve. MindMap delivered a clinically-safe triage-and-booking platform that deflects seventy-one per cent of demand from clinician slots and ensures same-day availability for the cases that need clinician care. Our clinical-governance team validated the safety profile and our patients' experience has improved meaningfully.
Chief Clinical Information Officer· UK Telehealth Provider
04
Why MindMap was chosen

Why MindMap was chosen

The provider had evaluated three triage-automation vendors. The leading global vendor's platform was strong on the conversational UX but its clinical-pathway library was US-centric and did not align with NICE and NHS clinical guidance. The two UK-headquartered vendors had the NHS-pathway alignment but lacked the conversational-UX depth.

MindMap's accelerator-composition approach — bringing ChatNext, Clinical Pathway Engine, Patient Scheduler and Multi-Channel Agent together with the NHS-IG-Toolkit-compliant UK deployment and the deep NICE-pathway integration — was the structural differentiator.

Our embedded UK clinical expertise on the delivery team (two former NHS GPs and a former NHS-Digital clinical-safety specialist) was the third factor. The provider's CCIO felt that the team understood the clinical-safety and clinical-governance realities of UK triage, not just the conversational AI technology.

Want an outcome like this?

Start with a 2-week AI Readiness Sprint. We deliver a prioritised use-case backlog and business case grounded in what's actually buildable with our accelerator library.

Book a walkthrough →Explore Healthcare
Talk to the product team