
The Distilled Post AI and Healthcare Excellence Awards have been created to recognise the individuals,teams, and technologies using artificial intelligence and data-led innovation to drive measurable improvement in health and care.
As healthcare systems continue to face growing demand, workforce pressures, and structural complexity, the role of well-implemented technology has never been more critical. From enabling earlier diagnosis to optimising care pathways and supporting patients in new ways, AI is reshaping what effective care can look like.
These awards highlight practical, real-world examples of AI making a difference today. Not just ideas in development, but tools already delivering results for patients, clinicians, and health systems.
Why Enter the Distilled Post AI and Healthcare Excellence Awards?
Demonstrate clinical and system impact.
Share how your solution is improving diagnosis, treatment, patient engagement, or system efficiency, and benchmark against the best in the field.
Strengthen credibility.
Being shortlisted or selected as a winner provides a mark of quality and rigour that helps support clinical engagement, procurement conversations, and external partnerships.
Celebrate progress in a space that’s often overlooked.
Implementing technology in healthcare is complex. These awards are a chance to shine a light on the work that often happens behind the scenes — the delivery,the refinement, and the results. It’s a moment to recognise what it takes to turn potential into practice.
Shape the conversation on what good looks like.
These awards are about more than recognition. They provide a platform to influence how AI is understood, adopted, and evaluated across health and care. Finalists help set the benchmark for quality, safety, and meaningful use.
Award Categories
This year’s awards include:
Each category recognises projects with strong evidence of benefit, implementation in live settings, and relevance to health and care delivery.
To view all award categories, visit the deck via the link below:
To submit a project: