Why Big-data is impacting big on health care industry.

In the past decade, healthcare has suffered a lot with stringent resources and an outdated skillset. The boom in BIG DATA is a promising solution to enrich healthcare with new opportunities. After its initial penetration in customer-centric services such as sales and marketing, the focus is now being shifted towards research and development. With the volumes of data rushing in, a more complex business structure is demanded to leverage the insights and promote drug development. The big data industry is enthralling with new opportunities such as:‌Improving the predictive hypothesis by understanding the various drugs and biological functioning more thoroughly and meticulously. With rigorous analysis in the pool of available medical and fundamental data, predictive analytics will help in more sophisticated and improved drug delivery along with the advantage of identifying the symptoms at early stages.‌The big data also entitle us with the power of selectivity. Today, a large amount of data is based out of social media and hence we can analyze and comprehend almost everything without going through a tedious procedure in shorter periods of time. ‌Operational costs can be significantly decreased with the proper exploitation of real-time as well as historical data, which will, in turn, promote greater business value. Today the intake of Big data in healthcare is not only present at the disease level but also has penetrated in lives (known as Healthcare IoT). With the wearable technology products, collecting individual data such as heartbeat, body movements helps us analyze the calorie count, distance covered, and various other parameters.This data collected is compared against the data of other millions of devices and hence providing progress relative to others. In a couple of years or so, this data would be used by the physicians to determine the diseases before you suffer from them. The most important characteristic of BIG DATA is that it's inexpensive, although it flows in a bulk and requires a more advanced skillset such as R language and machine learning to make use of it. The proper harnessing of this data will pave a way for more patient-centric care alongside leveraging the future with more effective and cost-driven payment structures. The big data will also help in identifying the false claims and frauds by analyzing the historical databases for anomalies and overutilization and thus, producing more returns than ever before. This vision is no longer far-fetched. These days most of the pharmaceutical industries are investigating a huge buck in making this dream of Healthcare IoT come true. There is a huge series of challenges in anyone who wants to make pharma big, the key one being the skill-set, more advanced and equipped skills are required to conquer the Healthcare IoT world wherever there is a lot to gain along the way.

~AISavvy,2020