HARNESS: Health Analytics Research Network for Education, Statistics, and Safe-AI
HARNESS - In The Media
Here is some of the news coverage our recent projects have attracted.
eFalls – Predicting serious falls in the elderly population
Researchers from the University of Leeds and University of Birmingham have developed eFalls, a predictive tool that estimates an older patient's risk of falling over the next year. Using data from over 750,000 health records, the model aims to proactively identify fall risks before injuries occur, helping direct patients to prevention services. The team hopes to integrate eFalls into NHS care pathways.
HTN Now – How electronic records support the NHS Ten Year Plan
A recent HTN Now panel discussed how customised electronic patient record (EPR) systems can better support frontline healthcare staff and help organisations deliver on the ambitions of the NHS 10‑Year Plan. The experts highlighted the need for flexible digital tools that reduce data silos, improve day‑to‑day clinical workflows, and adapt to rapid technological change to enhance patient care.
HARNESS staff lead research efforts at new MND centre
Two UK‑first research projects are launching at the new Rob Burrow Centre for Motor Neurone Disease, aiming to speed up diagnosis for people with suspected MND using advanced MRI “fingerprinting” and artificial‑intelligence‑powered computer vision. Funded by over £230,000 from Leeds Hospitals Charity, these initiatives will bring cutting‑edge diagnostic tools to Leeds, with the goal of improving accuracy, reducing uncertainty for patients, and ultimately shaping future MND care and research.
Leeds Hospital Charity BBC Article
Independent – The UK’s favourite dog breeds
A major new study has found that the UK is home to more than 13 million pet dogs – around four million more than previously estimated – revealing significant regional differences in dog ownership. Scientists say the findings will help improve planning for canine welfare by identifying population hotspots such as Telford, Darlington and Harrogate, as well as areas with notably low dog numbers, particularly several London postcodes.