Healthcare Analytics

Healthcare 1.0 was broadly defined by a focus on defensive medicine, billing, and fee-for-service, culminating in the mass adoption of EMRs and data proliferation.  So far, these efforts have failed to significantly impact the quality and cost of healthcare.

Healthcare 2.0 is a new wave focused on improving clinical efficiency, quality of care, affordability, and fee-for-value –  culminating in a new age of healthcare analytics.  Analytics will be central to achieving the systematic quality improvements and cost reductions demanded by healthcare reform.  This new age of analytics will require a foundational set of analytic information systems that many executives have not anticipated.

We have Much Data – Is it Helping?

Healthcare in the United States and other parts of the world has slowly been progressing through three waves of data management: data collection, data sharing, and data analytics.

So far, the data collection and sharing waves, characterized by the urgent deployment of electronic health records and health information exchanges, have failed to significantly impact the quality and cost of healthcare.

And despite the current hype about big data being the next “big” thing in other industries, the reality in healthcare is that we are just beginning to have the necessary analytics capabilities that enable system-wide quality improvement and cost reduction efforts. The real promise of analytics lies in its ability to transform healthcare into a truly data-driven culture.

The Missing Component to Become a DATA Driven Healthcare Culture

Getting there however will require a team of very, very smart individuals.  People with advanced degrees and experience in math and computer science.  People who can interpret data and information; communicates results to the team and management and makes recommendations based on such analytics.  We can help you land these very talented individuals for your team.