There is a massive explosion of data happening in the healthcare industry. Our estimates show that this industry will be generating almost 240 petabytes of data in 2014 alone.
An important point of consideration is that all of this data is not structured. It comes in a huge range of data types, varying from doctor’s transcripts to laboratory results.
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This raises 3 penultimate questions:
1) How can this data be effectively used
2) How to use it to provide better patient service
3) What analysis can be drawn to streamline different departments
With the world population growing at an alarming rate and with threats of new kinds of viruses, like the Middle East Respiratory Syndrome coronavirus (MERS), it has become necessary to make strategies and policies which can benefit the health of an entire population. To address these concerns, healthcare groups are looking towards analytical solutions for effective population management.
Clinical Data Analytics helps healthcare professionals to analyze such unstructured data and frame policies which can be used to take measures to monitor the health of the population.
Though they are still at a nascent stage, Clinical Data Systems are increasingly gaining traction among healthcare groups to help face the challenges posed by population health management.
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