Diagnosis Connect: Are Your Services Ready for What's Coming?
The government’s new Diagnosis Connect initiative could change how people find charity services almost overnight.
For charities receiving referrals through the scheme, hundreds of thousands of newly diagnosed people could soon be directed towards their support. That tackles a major part of the reach challenge many services teams have been working on for years, a genuinely exciting opportunity for healthcare charities.
But more people finding services isn’t the same as more people being well supported by them.
Where can AI help?
When scaling up staff is either not an option at all, or one that will take time and money, technology can feel like the obvious answer. But where and how?
The starting point has to be honesty about which parts of your service genuinely need a human involved, and which could be handled differently.
This has been the focus of much of our work with services teams over the past year, and the information we’ve been sharing more widely over the last few months.
Used thoughtfully, AI offers a practical way to respond to the pressures ‘Diagnosis Connect’ could create. It can help services scale without simply adding headcount, improve the quality of first contact with new service users, and enable more personalised support at much higher volumes.
Three of the biggest challenges
1. Capacity and Scalability
Services are usually built around the level of demand. Helplines staffed accordingly. Community groups running at sizes that feel workable. Digital resources designed for a certain level of traffic. Diagnosis Connect will stress-test all of that.
For many organisations, simply scaling up staff won’t be realistic. AI can help services handle higher demand without simply adding headcount.
For example, AI-powered first contact tools can gather information from service users and guide them towards the most relevant support or information at any time of day, reducing pressure on helplines while ensuring people still reach the right support.
Example: Polaris (USA), which operates the National Human Trafficking Hotline, uses AI-powered voice tools to triage non-urgent calls. This allows specialist staff to focus entirely on survivor support while extending the hotline’s reach without increasing headcount.
2. The First Impression Problem
The people arriving via Diagnosis Connect will be at a uniquely sensitive moment. They’ve just received news that may change their life.
Their first interaction with a charity shapes their perception of what support is available and whether they come back. From our work with services teams we know people often disengage early if the service doesn’t immediately feel like it’s for them. And services that feel slow, generic or difficult to navigate lose people at exactly the moment they’re most needed.
AI can support frontline teams by making those first interactions more responsive and more helpful.
For example, tools that surface relevant information in real time can help helpline advisors respond more quickly and confidently during conversations.
Example: Citizens Advice developed Caddy, an internal AI assistant that helps advisors across its network of local offices find the right information quickly during live conversations. In trials, it significantly reduced waiting times and helped advisors support people more efficiently.
3. Personalisation at Volume
Diagnosis Connect creates a paradox: the more people you reach, the harder it becomes to give each of them the tailored support that makes charity services so valuable.
A 34-year-old newly diagnosed with Type 2 diabetes who is working full time and worried about what this means for their life may need something quite different from a 68-year-old recently diagnosed with the same condition.
If services respond to everyone in the same way, they risk serving no one particularly well. But personalising support at scale, with existing resources, is genuinely difficult without rethinking how services are delivered.
AI can help services move away from generic information and towards more adaptive support.
For example, digital tools can guide people through information based on their circumstances, helping them reach the most relevant advice or services more quickly.
Example: Combat Stress is piloting AI tools to analyse data from veterans’ mental health services to help identify individuals who may be at risk and enable earlier, more personalised support.
The practical questions
Across the sector, services teams are asking some practical questions about what Diagnosis Connect might mean for them:
If referrals doubled in the next 12 months, what would break first?
What does a genuinely good first experience look like for someone who has just been diagnosed?
Which parts of the services provided are most dependent on staff time, and could those be redesigned?
Where is technology being used, and where is it being avoided for the wrong reasons?
Is there internal capability to think this through, or is support required?
Diagnosis Connect is genuinely good news for the sector. It's a recognition that charities are essential partners in health and care, not an afterthought. And for the right organisations, it will be transformative, in terms of reach, impact and the difference they make to people's lives.
But good news creates its own pressures. The charities that will benefit most are the ones who treat this as a planning challenge, not a PR opportunity. The ones who start now to think seriously about capacity, quality and scalability, and who are willing to rethink how their services are built, not just how many of them there are.
Good Innovation works with charity services teams on growth, strategy and organisational transformation. If you'd like to explore what Diagnosis Connect means for your organisation, and how AI and other approaches might help you rise to the challenge, we'd love to talk.