Data in Healthcare | Big Data LDN 2025
Big Data LDN is the UK’s leading data and analytics event, bringing together experts to share practical insights on turning data into tangible impact. Against this backdrop, healthcare provides one of the most compelling examples of data’s power to drive change.
From data chaos to clinical clarity: enabling cutting-edge ophthalmology research with cloud data platforms
Ophthalmology generates vast amounts of imaging and clinical data. Yet fragmentation of this data slows both care and research.
At Big Data LDN, join Matt Barnfield, Lead Data Engineer at Softwire, as he shares how Softwire worked with Moorfields Eye Hospital (UK) and Retina Consultants of America (US) to address these challenges and enable new possibilities for research.
About the session
Matt will compare the parallel difficulties faced by both companies and the shared patterns used to overcome them. He’ll focus on the new, powerful tools now available to trusted researchers – spanning everything from clinical trial recruitment to retrospective studies.
Join the session to find out how Softwire built a future-ready data platform that:
- Unifies fragmented data – combining millions of images with clinical records in one place
- Automates dataset curation – cutting months of manual work down to minutes
- Empowers researchers – enabling faster clinical trials and research
Why attend
This session illustrates how modern data architecture can:
- Unlock large-scale, high-quality datasets for research
- Accelerate clinical trials and retrospective studies
- Facilitate cutting-edge research that ultimately improves lives
Expect a practical, case-study-led discussion that demonstrates how transitioning from data chaos to clarity delivers real-world impact.
Meet the speaker
Matt Barnfield
Lead Data Engineer
Matt Barnfield is a Senior Technical Lead at Softwire, specialising in medical data engineering. His work underpins cutting-edge ophthalmic research, contributing to the development of novel sight-saving treatments and the early detection of Alzheimer’s disease.
Matt is known for his close collaboration with the scientists, clinicians, and researchers behind the data. He believes technical systems should complement human behaviour rather than dictate it, and designs data platforms that enable users to explore, interpret, and act with confidence.
