Have you ever wondered why do healthcare organizations invest in Big Data? Can others learn from their investments and approach? In the last 10 years, the amount of data that has been generated, is collected from every possible source. In return, the collected data helps businesses belonging to every healthcare industry to become more productive and efficient.
Big Data in healthcare is not so different. Other than improving profits, it can be used to prevent accidental deaths, improve on the quality of life, cure diseases and last but not the lease predicting epidemics.
In order to improve performance Data may come from imaging centres, labs, referral networks, health centres, ambulance services, and hospitals. It needs high level of analysis but it can derive the right data if pulled together correctly to support decision making.
Evidence of this is can already be seen with bodies gaining insight and improving in areas around risk, resources, referrals, performance and readmissions. On one hand, It supports government initiatives to drive down costs and hit patient targets while on the other, it takes wider initiatives such as predicting epidemics, curing diseases, improving quality of life and avoiding preventable deaths.
Today Big Data is considered huge in healthcare. At the moment when health organizations are under tremendous resourcing and budgetary constraints, Big Data is now being used to ‘survive and thrive’ in a period of massive change.
One of the major reasons for investments in Big Data is its involvement in fight against the spread of epidemics and its fight against deceases like cancer. It collects data from the diagnosis and treatment to the clinicians for further research.