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Reality of Healthcare Analytics Adopt


The irony is that although healthcare is built on a strong analytical foundation of extensive research on causes and treatments of diseases, this culture has not been extended to the delivery of care.


Healthcare in the United States and other parts of the world has been progressing through the following waves of data management: data collection, sharing, and analytics. So far, the collection and sharing waves, characterized by the critical deploy- ment of EHRs and health information exchanges, have failed to significantly


impact the qual ity and cost of healthcare. The truth is that healthcare is just beginning to have the para- mount analytics capabilities that enable system-wide cost reduction efforts and quality improvement, despite the contemporary hype about big data being the next ‘big’ thing in many other industries. The real pledge of analytics lies in its ability to remodel healthcare into a truly data-driven culture.


When it comes to adopting analytics to solve problems, the Healthcare industry is still in infancy. Healthcare Analytics Adoption Model is a frame work developed by a group of cross- industry veterans to help classify


analytics capabilities into groups, and also provide a methodical sequence of analytics adoption within healthcare organizations.


Overcoming Barriers to Adopt


Eric Dishman, General Manager of Health and Science at Intel said, “In the future, and not that far out in the future, we’re talking about really personal medicine, down to the individual level.” As interesting as it may look, a number of barriers can obstruct the adoption of healthcare analytics, even amidst information explosion.


Vol. 5 Issue 4 Aug 2016


HOSPITAL & HEALTHCARE MANAGEMENT www.hhmglobal.com


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