Many executives in the healthcare industry suggest that predictive analytics will cut cost in their organization. A survey conducted in February 2017 forecasted that predictive analytics processes will reduce 15% of the cost for more than five years. A majority of healthcare industries already use them. Lack of budget is a biggest challenge for the implementation of predictive analytics. Lack of skilled employees, too much data, lack of confidence in the accuracy of data and lack of support of technology and executives are some of the important challenges healthcare industry faces of implementing predictive analytics. Read more at :

https://www.information-management.com/news/predictive-analytics-seen-as-cost-cutter-by-healthcare-execs?feed=0000015a-13e1-deb4-ab5e-9bfd65d50000

In spite of a lot of buzz about big data and data analytics, only few organizations like Amazon and Google have managed to exploit them to the potential. With the shortage of doctors, lack of infrastructure and only 5% Indian population covered by health insurance, healthcare system in India is in a delicate condition. If used in the right way, the data analytics in healthcare system can push the sector to excellence by retaining right customers and assisting in providing cost efficient operations. Data analytics can also assist the insurers to increase the coverage of healthcare insurance from 5% to 50% of the Indian population. Read more at http://health.economictimes.indiatimes.com/news/industry/healthcare-analytics-in-india-opportunities-and-challenges/59028069