Industrial Best Practices of #DataScience in #Healthcare

The technological framework for healthcare information systems has a new paradigm to handle fast and accelerated medical data coming from disparate sources of data from the holistic healthcare framework of diagnostics tools, DNA mapping, precision medicine, bioinformatics, medical devices, Internet of Medical Things, biopharma, neurology, cardiovascular, drug discovery, and drug development. To surpass the healthcare challenges, increased costs for the individuals, clinical trials, and radiology providers. The majority of the problems stem from the lack of data liquidity and real-time data analytics in healthcare information systems. Healthcare providers adopting big data technologies such as Apache Hadoop can resolve major conundrums with data liquidity (Sears, 2013). Recently McKinsey and Company has released a research report describing the new value pathways for the healthcare system that enables the creation of the data and to make data flows more agiler (Sears, 2013).