Outcomes Based Healthcare and Big Data Partnership have announced they have secured a match-funded grant for a £1m project from Innovate UK for a ‘Digital Health in a Connected Hospital’ funding call.
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
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 the cost of care or the chance of hospital re-admission. 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, a former GP and founder and chief executive of 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.”
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 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, chief executive and co-founder 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 the spring of 2016. Once complete, the team will apply the approach to other diseases and patient communities.
