From March 16th – 20th, City St George’s, University of London hosted a dynamic Clinical AI Hackathon, bringing together healthcare professionals, engineers, and researchers to collaborate on innovative solutions to real-world clinical challenges.
Held in partnership with the NHS and military clinicians, the event highlighted the power of interdisciplinary collaboration in advancing patient care through cutting-edge technology.
The Challenge
Participants were tasked with tackling a real-world healthcare problem: transforming unstructured clinical data specifically Word-based patient documents into structured, sequential treatment data that can be used effectively within clinical workflows. This reflects a common and critical challenge faced by healthcare systems today.
Over the course of the week, teams worked intensively to design and prototype AI-driven solutions capable of converting complex, unstructured patient information into actionable insights, helping to improve efficiency, accuracy, and decision-making in clinical environments.
From Learning to Building
Through hands-on workshops, mentoring sessions, and collaborative problem-solving, participants explored how AI tools such as large language models and intelligent agents can support clinical workflows and unlock the value of healthcare data.
The hackathon not only showcased technical innovation but also emphasized the importance of cross-sector collaboration in shaping the future of healthcare where AI plays a key role in enhancing patient outcomes and supporting frontline clinicians.
Problem Statement
The clinical problem can be found here: https://github.com/dsikar/clinical-ai-hackathon/