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Use case | Healthcare
Turning fragmented referrals and patient communications into one intelligent journey
A leading private hospital network modernising the last mile of patient communications alongside a major investment in its electronic health record platform.
Snapshot
Designed to deliver
- Measurable reduction in DNAs (did-not-attend appointments) through bi-directional confirmation
- A single, structured referral queue – replacing four inbound channels of unstructured data
- Fewer inbound calls as confirmations, directions and preparation move to intelligent messaging
- Release admin capacity across referrals, scheduling and patient-services teams
The challenge
World-class clinical systems/ Decade-old patient communications
Like many leading hospitals, the network had invested heavily in a modern electronic health record – a multi-year, multi-million-euro transformation of its clinical core. But the way patients actually heard from the hospital hadn’t kept pace.
Appointment communications were fragmented and one-way: letters that couldn’t be replied to, reminders that couldn’t be confirmed, and no easy way for a patient to say “I can’t make it” in time for the slot to be reused. The result was familiar to every operations manager in healthcare: did-not-attend rates that waste clinical time and delay care for other patients.
The same issue existed after care. Reports and correspondence sent to GPs and consultants often relied on email, telephone follow-up and manual acknowledgement. Teams could send the information, but proving that it had been received, reviewed or acted upon created another layer of administrative effort.
Upstream, communications with GPs and consultants were similarly manual and difficult to track. They arrived through every channel at once; through voice calls, email, text and HealthLink. Each referral in a different format, each requiring manual handling before triage could even begin.
The EHR remained the clinical system of record but the patient-engagement gap sat around it: orchestrating how referrals entered the organisation, how patients responded, and how every interaction was tracked back to the episode of care.
The approach
Two problems, one journey map
Discovery brought operations, corporate services, patient experience and IT into one room to map the patient communication journey end-to-end: from the moment a referral arrives to the moment a patient walks through the right door of the right ward at the right time.
The mapping confirmed that DNAs and referral chaos were actually two ends of the same broken journey: unstructured information coming in, unintelligent communication going out, and administrative teams manually bridging the gap in both directions.
It also defined the constraint that shaped the design: the solution had to work alongside the EHR and existing patient administration systems. Filling the engagement gap and not competing with a platform the hospital had just invested in.
The solution
An intelligent communications layer around the systems already in place
Intelligent appointment communications
A central orchestration layer that manages bi-directional patient journeys:
- Confirmations patients can answerConfirm, cancel or rebook in one tap, releasing unused slots back to the schedule in time to fill them
- Trackable GP and consultant communicationsReports and clinical correspondence can be securely delivered, acknowledged and automatically followed up where no action is recorded
- Pre-appointment guidanceParking, ward location, preparation instructions, delivered when they’re useful rather than buried in a letter
- Contextual alertsIntelligent, situational messages such as travel-disruption warnings before an appointment
- Print and digital togetherOlder or non-digital patients continue to receive dependable postal communications within the same orchestrated, evidenced journey
- Referral orchestrationReferrals arriving through multiple channels are captured, classified and normalised into a common data structure before entering a single workflow. Administrative and clinical teams see one prioritised queue, while structured information can be passed into downstream hospital systems without repeatedly re-keying the referral.
- Communication linked back to the episode of careOutbound correspondence, patient responses and delivery evidence can be associated with the originating appointment, referral or clinical episode, preserving provenance across the journey.
All patient data is processed inside the hospital’s own environment, on EU-based AI models. Clinical-grade sovereignty for clinical-grade data.
The outcome
What this journey is built to deliver
- A significant, measurable reduction in DNA rates through confirmations patients actually answer
- Faster referral triage at lower processing cost from a single structured queue
- Reduced inbound call volume to scheduling and patient-services teams
- A better patient experience as patients are informed and able to respond, whether digital or non-digital
- Full evidence that every communication, on every channel, was delivered correctly
The data lives within the hospital’s own environment
All processing, including the AI that structures referrals and orchestrates communications, runs on infrastructure under the hospital’s control, on EU-based models, with complete audit logging. No patient data is shared with external, non-EU AI providers.
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What is your DNA rate really costing?
In one discovery session we’ll map your appointment and referral journeys, quantify the cost of missed appointments and manual triage, and show where intelligent communication would return the most.