#BigData and the revolution of healthcare

In Data & Analytics by Oliver Arscott

big data, analytics, healthcare, retail, data storageThe opportunity offered by Big Data to revolutionise the way that interactions are made between organisation and customer are being increasingly well understood, especially by forward-looking market leaders. With the help of networking and the sharing of knowledge across sectors, facilitated by conferences such as Big Data World Europe, this new data-driven way of interaction will increasingly be seized by organisations from multi-nationals down to SMBs. The ROI will increasingly become clear and businesses will increasingly collaborate through data sharing for the good of all parties. The result, a better deal for the customer and an ever more cooperative trend in B2B relationships.

Healthcare however is an entirely different kettle of fish. The perception seems to be that there is no information, even including financial data, that the public is more protective over than their medical records. This a major barrier in the way of revolutionising how we approach healthcare. Imagine a world where doctors were able to take a thousand readings from your body to subtly assess your symptoms, and then to compare those with an archive of millions of cases to accurately diagnose you in moments. This is not science-fiction, this is absolutely possible. Indeed the UK would be the perfect setting for such a a system, according to a recent article in the Wall Street Journal. As one of the few countries around the world to offer ‘cradle to grave' healthcare there exists an impossibly valuable, and for now untapped, resource within the NHS's network.

How can this situation change? It will take a seismic shift in the minds of a great number of people to trust the government to exploit the value within their data. There needs to be a drive from government to help the public understand how valuable such a move could be, the extent to which it could save thousands of lives by identifying and treating illnesses in their early stages. Healthcare needs to move into the data driven 21st Century, and they need to do it soon.