In the Post Obamacare period insurers are finding the pressures piling up and having to do more with a lesser revenue. Not only insurers, providers of health care, benefit managers of pharmacies all face a similar sort of pressure. And they have found an ally in data analysis as they take the field ready to scale new heights.
Though crunching numbers is hardly a thing new to insurers, they have had to figure out patients who will generate high costs in all likelihood. But now they have taken things to the next level as they try to assess relapse probabilities, patients not abiding by their medical regimes. The models put into use make use of massive amounts of medical and other related data. Some even go to the extent of putting their focus on otherwise healthy people and prevent health issues before they actually crop up.
A vast number of insurers, WellPoint, UnitedHealth Group just to name a few are increasingly concentrating their efforts on pinpointing people who are like to develop diabetes amongst various medical conditions. Pharmacy- Benefit Managers of which CVS Caremark Corporation and Express Scripts are the most illustrious are engaged in developing models related to the medical compliance of patients. Health care providers on the other hand are working tirelessly to figure out who are most likely to be readmitted or admitted to a hospital so that they may alter their services to prevent returning visits.
According to the proponents of such endeavors activities such as these will go a long way towards preventing health problems that might prove to be expensive which will reduce costs for patients and companies alike.
As Scott Lundstrom who happens to be the Health Insights analyst at the noted International Data Corporation says that the present delivery model is ineffective to deal with the rising demand in health care and companies are putting in place their best efforts to optimize the quality of very much everything now-a-days.
All this is resulting in a rising demand for Big Data professionals and personnel who are aware of the ropes of the Big Data game through suitable courses at a quality Analytics training institute.
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Great post.
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