In short: The West Midlands 5G Innovation Region deployed Technology Enabled Care across Coventry, Birmingham, and Wolverhampton. The measured outcome: £2 in adult social care budget savings for every £1 spent.
Key Takeaways
- Proven ROI — Fall detectors, smart speakers, and remote monitoring sensors delivered £2 in savings for every £1 invested in adult social care
- Scaling to 1,000 citizens — Starting with 350+ people, the programme is expanding across three cities with predictive analytics for proactive care
- Reduced hospital admissions — Quicker response times and continuous monitoring catch problems before they become emergencies
In a nutshell
The Clearest Business Case for Connected Technology
When people discuss 5G use cases, the conversation usually gravitates towards factories, ports, and autonomous vehicles. The West Midlands Combined Authority found the clearest return on investment somewhere less glamorous but far more consequential: looking after vulnerable people in their own homes.
The Technology Enabled Care (TEC) programme, part of the DSIT-funded 5G Innovation Regions initiative, deployed a suite of connected devices across social housing and care settings in Coventry, Birmingham, and Wolverhampton. The technology itself is straightforward — fall detectors worn as pendants, smart speakers for voice-activated assistance, smart doorbells for visual communication, and environmental sensors monitoring activity patterns.
What made the difference was connectivity. Reliable, always-on wireless networking meant devices could report continuously without depending on the resident's broadband connection — which many vulnerable adults simply do not have, or cannot maintain. Care teams received alerts in real time rather than waiting for the next scheduled visit. We have seen this pattern in our own deployments: the value of connected devices collapses the moment connectivity becomes intermittent, and for this demographic, assuming a working home broadband connection is fundamentally unrealistic.
What £2 for Every £1 Actually Means
The headline figure — £2 in adult social care budget savings for every £1 spent — comes from reduced hospital admissions, fewer emergency call-outs, and more efficient allocation of care worker time. When a fall detector triggers an alert within seconds rather than the person lying on the floor for hours until someone checks on them, the medical outcome is dramatically different. A bruise rather than a hip fracture. A quick check rather than a hospital stay.
Predictive analytics added another layer. By establishing baseline activity patterns — when someone normally gets up, how often they open the fridge, whether they have moved between rooms — the system can flag anomalies before they become crises. A resident who has not left their bedroom by noon when they are usually in the kitchen by 8am triggers a welfare check, not a 999 call. The trade-off, of course, is privacy: continuous environmental monitoring of vulnerable people raises legitimate questions about consent and data governance that the programme had to address carefully, and which any wider rollout will need to confront head-on.
The Scale
The initial deployment covered 350+ people, and the programme is now scaling to up to 1,000 citizens across the three cities. What started as a technology trial is becoming operational infrastructure — the councils involved are integrating TEC into their standard care commissioning.
Glasgow's 5G Innovation Region ran a parallel programme, deploying 515 smart speaker kits and 100 fall detection devices across regional health partnerships. The convergence of these independent programmes around similar technology and similar outcomes is notable; this is not a one-off result but a repeatable model, which is ultimately what matters for national policy.
Why This Matters for Network Operators
The social care use case is compelling for anyone building or operating private wireless networks. The users are not technically sophisticated — the technology must be invisible and maintenance-free. The connectivity must be reliable over years, not months. And the economic case is made not in revenue per user but in costs avoided across the health and social care system.
For local authorities evaluating private 5G, we believe this is the benchmark: a use case with measurable ROI, clear social benefit, and a scaling path that does not depend on consumer adoption. The wider context is important too — adult social care is the single largest pressure on council budgets across England, and therefore even modest percentage savings at scale translate into genuinely significant sums.