Big data in the healthcare industry refers to a large and complex electronic health data that is difficult to manage with conventional software or hardware or data management tools. Big data in the healthcare industry is tremendous because of its volume, variety, and velocity required to manage it. This includes a wide variety of data ranging from patient data in electronic medical records, clinical data, data from sensors monitoring vital signs, emergency care data to news feeds. Also, it includes social media data from Facebook, Twitter, and blogs, and data from clinical decision support systems such as medical imaging, pharmacy, lab, prescriptions, and insurance. Big data in the healthcare industry is gaining traction to improve the quality of healthcare services. It also supports a wide range of healthcare functions such as disease surveillance, clinical decision support, and population health management. Also, big data analytics in the healthcare industry helps generate powerful insights about patient health and behavior and hence improve the quality of healthcare at lower costs.
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Covered in this report
The report covers the current scenario and the growth prospects of the global big data spending in the healthcare industry for the period of 2015-2019. To calculate the market size, the report considers revenue generated as a result of big data spending in the healthcare industry.
The market is segmented into the following based on category:
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Global Big Data Spending in Healthcare Industry 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the Americas, APAC, and EMEA; it also covers the landscape of the global big data spending in the healthcare industry and its growth prospects in the coming years. The report includes a discussion of the Key vendors operating in this market.
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