Child health research 1: Digital health technologies, with Professor Paul Dimitri

So, um, just to start, what do we mean by child health technology, and why does it matter now?

So child health technology is really thought of as the use of digital tools, data, and innovation to improve the health, development, and life chances of children and young people.

And it really matters now because children's physical and mental health needs are rising.

Systems are fragmented, and technology allows us to deliver personalized, preventative, and proactive care at scale.

Technology itself in child health now spans an extraordinary range of tools from everyday digital platforms to highly advanced biomedical systems, and that breadth is one of the biggest opportunities ahead.

We're no longer talking about a single category of digital health.

We're talking about an ecosystem that includes remote monitoring, AI-enabled diagnostics and decision support, digital therapeutics, wearables, and app-based technologies or web-based platforms that help families manage conditions day to day.

And then alongside these sit emerging technologies such as digital twins, which I'll talk about in a short while, virtual augmented reality, robotics, and even complex assistive devices like exoskeletons and multifunctional prosthetic limbs.

And each of these brings, uh, different capabilities.

So some extend care into the home, some enhance rehabilitation, some support precision diagnostics, and others enable children with disabilities to participate more fully in school and daily life.

The real excitement here comes from how these technologies can work together, creating a connected, personalized, child-centered model of care that's proactive, empowering, and far more responsive to the realities of childhood.

These children's health systems need solutions now because the pressures they face are growing faster than their current ca- capacity to respond.

As you know, we're seeing rising numbers of children with long-term conditions, widening health inequalities and services that are stretched to their limits.

Nowhere more visibly than in mental health and neurodevelopmental pediatrics.

The waiting list for autism and ADHD, as an example, are incredibly long.

And these families are waiting too long, clinicians are firefighting, and children are missing the window where early intervention makes the biggest difference.

The good news here is that a wave of new technologies are emer- is emerging.

There are tools that can support triage, accelerate diagnostics, and provide personalized support at scale.

These range from AI-enabled screening to digital therapeutics and remote monitoring, and these i- innovations are going to help us identify need earlier.

They're gonna help us reduce these bottlenecks and give children timely and targeted care.

But most importantly, this isn't about replacing human expertise.

It's about giving overstretched services the intelligent infrastructure that they need to keep pace with the realities of modern child health.

And technology also gives us the chance to move from a system that reacts when children become unwell to one that anticipates their needs and supports them continuously.

So instead of, of waiting for systems to escalate, uh, sorry, for, of symptoms to escalate or families to reach crisis point, digital tools are gonna allow us to spot early signals.

They're gonna help us to tailor interventions and provide personalized guidance in real time.