The development of more cutting-edge technologies provides the potential to expand the digital transformation in the healthcare industry. Big data analytics is utilizing huge multiple sets of real-time data through AI-based algorithms in this healthcare system to provide a better service for the welfare of society. It is being continuously used to procure crucial information and opportunities for improvement in sub-fields of the medical domain.
A huge amount of data is being generated, consolidated, and analyzed continuously in the healthcare sector and the healthcare data analytics solutions show specific figures from the data to research new advancements, simplify processes, reduce costs and make healthcare more affordable and efficient.
We in an exclusive interaction with Mr. Akansh Khurana, CEO & Co-Founder, THB that stands for Technology | Healthcare | Big Data Analytics) is India’s leading clinical intelligence company tried to understand it further!
“Our entire focus is how do we work with hospitals, diagnostic labs, pharmaceutical companies, and insurance companies. A lot of data is being generated but it rarely gets used to its exponential and our focus is to build applications to offer so people can extract value,” said Mr. Akansh Khurana.
He added, “There are various types of data sets when we talk about healthcare, the financial data sets, there are demographic data sets, operational data sets, clinical data sets, and all of these data sets are of time importance and of prime value because clinical data actually helps you establish, the clinical and the healthcare need of a particular individual. So clinical data helps you distinguish between one diabetic patient versus the other as clinical data can tell you if one patient is taking better care of himself than the other.”
Watch The Full Video Here:
