There’s a moment in every clinic that rarely gets talked about.
It comes just after the consultation ends, when the patient has left the room, but the work hasn’t. Notes need to be completed, letters dictated, referrals made, and decisions recorded in a way that will hold up later, often to someone who wasn’t there.
This is where care becomes system.
And it’s also where much of today’s health technology still falls short.
For all the progress in AI, too many solutions are still designed at a distance from this reality. They perform well in controlled settings, but struggle against the complexity, accountability, and pace of frontline care. The result isn’t a lack of innovation, it’s a lack of alignment.
At T-Pro, we’ve spent years working alongside clinicians in exactly these environments. What we’ve learned is simple: meaningful innovation in healthcare doesn’t come from adding clinical input at the edges. It comes from building with clinicians at the centre, not as advisors, but as leaders.
That belief sits at the heart of Clinicians First.
And it’s what led us to create the Clinical AI Fellowship.
From Principle To Practice
There is no shortage of language in healthcare about user-centred design, co-production, and clinical engagement. But in practice, these often-become surface-level exercises, workshops, feedback loops, or validation steps that happen after key decisions have already been made.
The challenge is that clinical reality doesn’t adapt easily to technology. It is shaped by risk, by time pressure, by system constraints, and by the responsibility clinicians carry for every decision they document.
You cannot retrofit that reality into a product.
It has to shape the product from the beginning.
As Ben Jeeves, T-Pro’s CCIO and CSO, puts it:
“If clinicians aren’t shaping technology, then we’re building it wrong.”
Under his leadership, this has become more than a principle. It’s a way of working, one that embeds clinical thinking directly into product development, safety, and strategy, rather than treating it as something to validate at the end.
The Clinical AI Fellowship is how we are making that approach real.
From Principle To Practice
The T-Pro Clinical AI Fellowship is a 12-month, part-time programme designed to sit alongside clinical practice, not outside it.
Because the goal is not to take clinicians away from care to learn about AI in isolation. It is to embed them in the process of building and deploying it, in real time, in real systems, with real consequences.
This is not an advisory role. It is an embedded, hands-on model where clinicians contribute directly to product, safety, governance, design, and adoption.
It places clinical thinking where it belongs, at the point where decisions are made.
Why This Matters Now
AI is no longer a future concept in healthcare. It is already shaping how care is documented, how workflows are managed, and how services are delivered.
But adoption has made one thing clear: success is not defined by capability alone.
It is defined by trust.
Trust that systems are safe.
Trust that they reflect real clinical workflows.
Trust that they reduce burden rather than introduce new risks.
And trust is not built through technology alone. It is built when systems behave in ways clinicians recognise, understand, and can rely on.
That requires a different kind of collaboration — one where clinicians are not consulted occasionally, but embedded continuously.
It also requires a new kind of workforce: clinicians who understand how AI is built and deployed, and organisations willing to build alongside them.
This is the gap the fellowship is designed to address.
Meet T-Pro Fellows Shaping What Comes Next
Dhiren Shivji, Neurological Physiotherapist, UCLH
Dhiren works at the intersection of neurorehabilitation, systems leadership, and digital transformation, a space where clinical complexity meets the realities of how healthcare actually operates.
Across his career, he has led work spanning workforce development, service transformation, and clinical innovation within the NHS. That experience has shaped a clear focus: understanding how change happens in practice, not just in theory.
Today, his attention is on one of the most pressing challenges facing healthcare, how AI can be integrated into clinical workflows in a way that is safe, meaningful, and scalable.
At T-Pro, Dhiren will work across clinical safety, governance, and product development, helping to ensure that AI solutions are not only technically robust, but also clinically usable, operationally realistic, and genuinely beneficial to patient care.
His longer-term ambition reflects a wider shift the industry is beginning to recognise: the need to develop clinicians who don’t just adopt AI, but play a central role in shaping how it is built and used.
Dr Jack Evans, General Practitioner
Jack brings together frontline clinical practice with a deep interest in digital health and system-level design. His perspective is shaped as much by the realities of day-to-day general practice as it is by a broader understanding of how healthcare systems evolve.
His work sits at the intersection of patient safety, healthcare design, and innovation, with a consistent focus on how technology can support, rather than disrupt, the delivery of care.
At the centre of his thinking is a simple principle: technology should make care more human, not less.
At T-Pro, Jack will contribute to shaping systems that reduce unnecessary complexity for clinicians, strengthen safety across care pathways, and support more meaningful interactions between clinicians and patients.
Because ultimately, the success of AI in healthcare won’t be defined by what it can do, but by how it feels to use in a real consultation.
What We’re Building Through Clinicians First
The fellowship is not an isolated initiative. It reflects a broader shift in how we believe health technology needs to be built.
Through Clinicians First, our focus is on bringing together three things that are too often treated separately:
✔️ Designing for real clinical workflows: ensuring that information flows reliably from consultation through to outcome, not just improving the quality of documentation.
✔️ Making safety and governance integral: building systems that are transparent, defensible, and aligned with the realities of clinical accountability.
✔️ Developing clinician leaders in AI: creating pathways for clinicians to shape the future of healthcare technology, not just adapt to it.
This is how meaningful, scalable adoption happens.
A Different Signal To The Industry
For us, Clinicians First is not a campaign. It is a signal.
That the era of clinician-lite innovation is coming to an end. That AI adoption will be led by those who can bridge disciplines. And that organisations that fail to embed clinical voice deeply will struggle to scale.
Because in healthcare, credibility is everything. And credibility is built where clinical reality meets technological capability.
What's Next?
This work does not sit as an announcement. It sets the direction for what we focus on next.
Over the coming months, our aim is to build, and demonstrate, what clinician-led AI looks like in practice.
That means focusing on how clinical safety is applied, not just defined.
How workflows are shaped and refined in real environments, not ideal ones.
What it takes to move from pilot to meaningful, sustained adoption.
And where technology genuinely adds value, and where it doesn’t.
Because the impact of this initiative won’t be measured by what we say about it, but by what it changes.
This is what Clinicians First represents at T-Pro.
Not messaging, but a design decision.
A commitment to building differently.
A recognition of where real expertise sits.
And a belief that better healthcare technology starts, and ends with clinicians.
This is just the beginning.