Innovate UK awards Outcomes Based Healthcare and Big Data Partnership £1m big data grant for Diabetes project
Outcomes Based Healthcare and Big Data Partnership have announced today that they’ve secured a match-funded grant for a £1m project from Innovate UK (formerly the Technology Strategy Board) for a ‘Digital Health in a Connected Hospital’ funding call. For those not aware, Outcomes Based Healthcare is one of the UK’s leading health outcomes advisory and technology companies and Big Data Partnership is, as the name suggests, a big data service provider across a range of industries.
The two businesses will be working together to drive a more personalised, data-driven approach to improving the health of people with diabetes.Until now, big data and advanced analytics have been used in healthcare to predict cost of care or chance of hospital readmission, but this project will take this technology a step further; creating a dashboard that provides deep insights into disease progression, to enable doctors and patients to make better decisions about their health.
Dr. Rupert Dunbar-Rees, former GP and founder/CEO at Outcomes Based Healthcare, commented “Healthcare systems are cracking under the pressure of ever-growing global health budgets, partly because we’re treating people with drugs and interventions, without being sure exactly who will benefit from any given treatment. Applying data science and outcomes insight to healthcare systems can fundamentally disrupt current disease management, allowing greater precision in care delivery, and ‘pre-treatment’ rather than simply prevention.”
Mike Merritt-Holmes, CEO and co-founder of Big Data Partnership, added, “Huge amounts of real data holds the secrets to many business and social challenges. We are thrilled to be able to apply the latest industry thinking and technology to big data from lifestyles, medication, environment and diet to discover a truly innovative way to approach healthcare.”
It’s hoped that the end-product of this funding will empower doctors, through finding patterns and correlations in the data that predict complications of diabetes, far in advance of symptoms appearing. Ultimately, allowing the doctors to better care for their patients. The diabetes prototype will be developed and tested by experts, commissioners, hospitals and GPs by Q2 2016. Once complete, the team will apply the approach to other diseases and patient communities.