Edge Health

With data growing in scale, dashboards growing in complexity and your clinical and operational communities requiring access to real time quality assured data at scale you need expert support.

We are able to partner with your team, upskill them and ensure they and us are able to provide you with the data you need, quality assured and actionable.

With a team of machine learning and AI specialists, we are also able to embed AI within our services and optimise processes such as benchmarking, productivity and quality assurance.

What We Do

Data pipelines and QA

We bring our NHS analytics mindset to building quality assured data pipelines that support your actionable insights.

AI for Benchmarking

We use robust statistical and machine learning approaches to adjust patient outcomes for the mix of patients treated to ensure information is comparable and variation is correctly identified and actionable.

Data Infrastructure

We ensure you can take advantage of the latest developments in cloud computing and security.

AI for Quality Assurance

We leverage AI and Natural Language Processing to improve the quality of your data.

APIs, Web Apps, Dashboards

We build custom solutions for you that ensure your data is actionable.

Support and training

We partner with your team, upskill them, bring them along and ensure you feel supported throughout.

AI to Support Productivity

We use AI and machine learning to boost theatre throughput, managing cancer patient lists and solve other operational dilemmas.

Read more about our related work and articles:

See All

SPaedIT: Bridging the Gap in Paediatric Health Data Post-Pandemic

SPaedIT is revolutionizing pediatric healthcare in the post-pandemic era by addressing critical data gaps and backlogs.

Improving theatre productivity with machine learning – “Space Finder”

National Theatre Data Analysis For D&C Modelling

One of the ways in which the NHS is trying to reduce the list of patients waiting for surgery is by enabling increased theatre throughput. A method of achieving this is bundling high-volume, low-complexity surgeries together and thus operating on these more efficiently. To understand the impact of this nationally as well as monitor implementation over time, GIRFT and the NHS more generally needed to collect theatre data on a national scale and refresh it regularly.

System-wide Cancer Pathway Management – CanCollaborate, a tool to monitor and risk-assess PTLs

CanCollaborate tackles this issue by streamlining communication and data sharing across hospitals. This tool helps predict patient wait times, identify bottlenecks, and improve access to care for complex cases. Learn how CanCollaborate improves efficiency and patient outcomes.

Engineering Data Solutions and AI