Healthcare Industry Ups Big Data Analytics to Match Value-Based Care Demands

Big Data

The healthcare industry is now mulling to big data analytics to match the demands that they handle everytime / Photo by: sasint via Pixabay

 

The healthcare industry has been upping their game in big data analytics, as the demands of value-based care are throwing challenge after challenge for the technology to quickly mature.

As reported by Health IT Analytics, the race to keep up with the ever-rising demands of the industry has driven provider groups to continually invest “sophisticated big data analytics pilots and programs.” To tend to these investments, 88 percent of the industry has actually taken to manning these efforts through the creation of analytics teams and entire departments as big data and the healthcare industry only progress on a path of inevitable symbiosis.

Since its slow pace in 2015, 30 percent of the 56 organizations in existence that are tasked to deal with the inevitable role of data analytics in the medical industry now even have chief analytics officers or chief data officers that help them usher in a new age of medicine aided by technology.

This is why many in the industry also wasted no time in “integrating data analytics skills into multiple levels of their organizational structures.”

It has already been proven that big data is helpful in making sure diagnoses leave little room for error, but it is also through big data and the advent of machine learning that the healthcare industry sees its future more clearly. This is because machine learning, along with previously alien words to the medical industry like AI and robotic process automation (RPA) are now the pillars with which the future of the medical world will stand upon.

This extends to the mere organization of collected data, which, although is important, is still one part of a more satisfying whole for the industry.

As the healthcare industry matures further with the help of these systems, data analytics will serve a more involved purpose in the industry, helping them develop “important” strategies like data mining in order to understand “social determinants of health and the importance of customer experience and preferences.”