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PRESS RELEASE: Outcomes Based Healthcare and Big Data Partnership Secure Grant for a £1m Project To Use Big Data to Predict Complications of Diabetes

Outcomes Based Healthcare, one of the UK’s leading health outcomes advisory and technology companies and Big Data Partnership, big data service provider across all industries, today announced that they 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.

Outcomes Based Healthcare and Big Data Partnership are working together to lead the drive toward a more personalised, data-driven approach to improving health outcomes in 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. 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. 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.”

The project will be the first to link huge amounts of health data and non-health data and analyse it using machine learning. The software will support healthcare providers in making decisions about exactly who, when and how to pre-treat complications of diabetes with an approach that promises to reduce costs and improve the overall health of patients. The technology will empower doctors through finding patterns and correlations in the data that predict complications of diabetes, far in advance of symptoms appearing.

“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.


Written by

Dr Rupert Dunbar-Rees is a GP by background, and Founder of Outcomes Based Healthcare. He trained in Medicine at Imperial College, gaining a degree in Orthopaedics from University College London. He was a Partner in general practice for five years before joining the Dept of Health, London for three years, as Clinical Lead on the Commercial Team. He led the clinical work stream on a £1.25 BN NHS procurement programme, resulting in 265 new GP surgeries across the UK. Rupert was selected for the Michael Porter Value course at Harvard Business School, where he studied the principles underpinning outcomes based approaches to healthcare globally. He holds a finance MBA with distinction from CASS Business School in the City, with an award-winning research dissertation on the healthcare market in England. He is a course tutor for the Clinicians in Commissioning at CASS. Rupert is a BMJ published author and peer reviewer on competition in healthcare, and health outcomes. 

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