Day-by-day, advancements in the technology providing amazing
solutions to benefit various organizations. The advent of software’s and applications
have made it easy to do the tasks efficiently. The last decade has witnessed
major advances in the amount of data that is regularly generated and collected
in almost everything including the human ability to understand, analyze, and
use technology. These trends have together resulted in the emergence of the
field of ‘Big Data’.
Big Data has rapidly made its way into a wide range of
industries, healthcare is one such huge industry that is experiencing a major
data transformation through the use of advanced analytics and big data
technologies. Moreover, those actually working with data structure in
healthcare organizations are beginning to see how the advent of the technology
is powering the future of patient care. It has been well identified that, by
recording disease outbreaks and analyzing disease patterns, big data analytics
approach can improve public health concerns.
Promises of Big Data
in Healthcare for Future
Not only today, but big data analytics are creating various
future opportunities for healthcare organizations. In short, big data analytics
has paved a new path for healthcare organizations to devise actionable
insights, boost up the outcomes, reduce time to value, and organize their
future vision. Here, I would like to share information on 3 big data trends in
healthcare for the coming years;
Patient Centric Care:
The focus on value-based care corresponds with an increased focus on
patient-centric care. Health payers such as insurers and public health systems are
in the early stages of shifting from fee-for-service compensation to
value-based data-driven incentives that reward high quality, cost-effective
patient care and validates meaningful use of electronic health records. This
approach requires significant developments in reporting, claims processing,
data management, and process automation.
Healthcare Internet
of Things: It has been reported that spending on healthcare IoT could top $120
billion in just four years. One of the major fact observed is data created by
the healthcare IoT is of unstructured variety, creating a major role for Hadoop
and advanced big data analytics working within the Hadoop framework.
Reduces Frauds: Big
data analytics can be a game changer for healthcare fraud. It provides the key to
detecting fraud is the ability to store and to analyze large unstructured
datasets of historical claims and to use machine learning algorithms to detect irregularities
and patterns.
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