Case Study: Inhealthcare achieves scalable, cost-effective remote care for people with long-term conditions with Amazon Polly

Using Amazon Polly to Deliver Health Care for People with Long-Term Conditions

Inhealthcare, a UK digital health platform that supports remote home monitoring for people with long‑term conditions, needed a simple, inclusive, and scalable way to deliver automated telephony and IVR services to an aging population. They required low‑latency, cost‑effective text‑to‑speech to power call scripts and clinical pathways that patients could use without smartphones or apps, so Inhealthcare turned to Amazon Polly for synthesized speech.

Inhealthcare integrated Amazon Polly into its digital pathway engine and call‑script designer to generate real‑time speech for automated calls, using SSML, caching, and monitoring to optimize performance and cost. The solution delivered median latencies around 50 ms, cache hit rates above 80%, simplified infrastructure (reduced local TTS CPU/RAM), and reliable scaling with rate limiting and thread pools—enabling more efficient, nationwide remote care while keeping costs down with Amazon Polly’s pay‑as‑you‑go model.

Inhealthcare

Mike Wray

Senior Software Architect