NHS 24:
Delivering Faster, Smarter, and More Trusted Patient Interactions
How NHS 24 broke down data silos to cut talk time by 20% and make patient identity verification over 90% faster, with clinical routing on Amazon Connect.
The Challenge
Manual processes and data silos were creating severe delays and time pressures on clinical staff. High call volumes across critical queues were leading to slow resolutions, jeopardising the patient experience.
- Patient identity verification was entirely manual and painfully slow
- Clinical data trapped in disconnected silos causing repeat information requests
- High call volumes overwhelming queues for prescriptions and clinical queries
- Agents unable to see a unified patient profile, leading to long handle times
- No intelligent routing—calls were landing with the wrong specialists
The Solution
By implementing Amazon Connect alongside Apollo by CloudInteract (leveraging AWS Bedrock and Lex), we deployed intelligent automation that unifies customer profiles and securely automates clinical routing workflows.
- Deployed Apollo by CloudInteract for AI-powered patient experience insights
- Built automated identity verification using Amazon Lex and secure integrations
- Unified disparate data sources into a single, real-time patient profile
- Implemented intelligent clinical routing based on query type and urgency
- Deployed Amazon Connect Contact Lens for compliance monitoring and quality assurance
- Reduced average talk time by 20% through smarter data availability at the point of contact
Why CloudInteract
CloudInteract began with a deep analysis of the existing patient journey, identifying the points of highest friction. We designed an automation-first approach that prioritised the most impactful bottlenecks—identity verification and clinical routing—to deliver measurable improvement from Day 1.
Project Timeline
Analysed high-friction touchpoints across clinical and pharmacy queues
Designed automated IDV and intelligent routing workflows
Connected disparate clinical data sources into unified patient profiles
Deployed to production with ongoing tuning via Apollo analytics
Technology Stack
Key Results
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