• £1m Grant for Project to Predict Complications of Diabetes

News & Views

£1m Grant for Project to Predict Complications of Diabetes

Jan 21 2015

Outcomes Based Healthcare, a leading UK health outcomes advisory and technology company and Big Data partnership, a  big data service provider across all industries, have secured a match-funded grant for a £1m project from Innovate UK, the UK’s innovation agency (formerly the Technology Strategy Board) for a ‘Digital Health in a Connected Hospital’ funding call.

The project aims to expand beyond provision of big data and advanced analytics for prediction of healthcare costs or chance of readmissions by creating a dashboard that provides deep insights into disease progression, thus enabling better decisions about their health. It will use massive amounts of data to accurately predict an individual’s outcomes and allow pre-treatment of medical complications that really impact the lives of people living with diabetes – heart attacks, strokes, eye disease, kidney disease and limb amputations.

“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,” said Dr. Rupert Dunbar-Rees, former GP and founder/CEO at Outcomes Based Healthcare. “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.”

 “Huge amounts of real data holds the secrets to many business and social challenges,” said Mike Merritt-Holmes, CEO and cofounder of Big Data Partnership. “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.”

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.


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