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An initiative to put clinicians at the centre of healthcare AI. ↓
Led by
In partnership with
The mission
Artificial intelligence is presenting new opportunities to transform healthcare. Though AI development is often led by technologists with little input from clinicians, leaving real-world problems unaddressed.
Demand Signalling: AI in Healthcare begins with a problem-focussed, clinician-centred approach to identify the highest priority challenges for AI in health.
The project will generate a consensus 'demand signal' from clinicians across multiple specialties, informed by stakeholders including researchers, healthcare managers, regulatory bodies, industry, and patients.
The results will provide a strategic roadmap for more targeted, impactful, and clinically relevant healthcare AI.
We're inviting clinicians to suggest their highest priority clinical tasks for AI to address. See below for more information.
The approach
Demand signalling is the first initiative to turn the real-world experience of clinicians into ranked, stakeholder-informed clinical priorities, creating a strategic roadmap for AI development. It runs in three phases:
An open survey invites practising clinicians to nominate the clinical tasks they most want AI to address. Every response is cleaned, categorised and checked for relevance.
A multi-round Delphi prioritisation process invites an expert panel to rank AI use cases, building consensus toward a definitive list of priorities.
Workshops bring together clinicians, researchers, industry, regulatory bodies and patients to refine each priority, defining the problem, the goal and the clinical scope for AI.
The projects
Anaesthesia is our first project, the proof of concept for a method built to scale into every specialty. Here's where each project stands, and how you can take part.
The first demand-signalling exercise in the specialty, run with the Association of Anaesthetists. Full publication expected Autumn 2026.
Which clinical tasks in ICM should AI tackle first?
Help set the priorities for AI in emergency care.
The anaesthesia, perioperative medicine & acute pain survey is now closed. Thank you to everyone who contributed.
The team
Demand Signalling is led by practising clinicians and academics working at the intersection of clinical care, perioperative medicine and applied AI.
Chief Investigator
Principal Investigator, Anaesthesia
Principal Investigator, ICM
Collaborate
Demand signalling principles are reproducible and transferable to all aspects of healthcare. Whether you lead a clinical specialty or build technological solutions, we'd love to hear from you.
Want to run a demand-signalling exercise in your field? We have the experience to support you in identifying and exploring your specialty's AI priorities.
Access a clinician-validated, consensus view of where AI is genuinely needed, to focus development and investment where it will have real clinical impact and value.
Use the demand signal to steer funding and horizon-scan regulatory challenges before they become barriers to adoption.
Connect with the team via their LinkedIn profiles above.
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