There is no correlation between amount spent on healthcare and improvements in life expectancy. Spending money wisely requires effective use of multiple, disparate data sources (structured and unstructured) giving healthcare professionals the tools to make better, data-driven decisions.
This will not just be a top-down, data scientist driven model. Self-service analytics combine the experience and contextual knowledge of healthcare professionals with the value of "complete" data.
Read the article below in parallel with key conclusions from The Carter Report which is an NHS study but has global relevance.
Combine the two and we may see better health outcomes without escalating budgets
n Healthcare BigData analytics, the big data is described by three primary characteristics: volume, velocity and variety. Over time, health-related data will be created and accumulated continuously, resulting in an incredible volume of data. The already daunting volume of existing healthcare data includes personal medical records, radiology images, clinical trial data FDA submissions, human genetics and population data genomic sequences, etc. Newer forms of big data, such as 3D imaging, genomics and biometric sensor readings, are also fueling this exponential growth.
