January 6, 2016

On January 5, 2016, the Centers for Medicare and Medicaid Services (CMS) announced the 5-year Accountable Health Communities Model. This model and various other community-based models raise the bar for health care organizations in that they require large amounts of varied data and new types of analytics in order to achieve success. 


From CMS' website: 


"The Accountable Health Communities Model is based on emerging evidence that addressing health-related social needs through enhanced clinical-com...

December 8, 2015

AAI's Brady Augustine served on the executive panel "Rethinking Leadership: Lead Staff and Align Stakeholders through Value‐Based Model Transitions" and gave a presentation on the Centers for Medicare and Medicaid Services' Transforming Clinical Practice Initiative (TCPI).




September 10, 2015

AAI's Brady Augustine was the featured speaker at a joint session of the College of Science and Mathematics, School of Nursing, and Program for Health Services Administration. At the session, he gave a presentation titled "The Rise of the Health Data Scientist" that demonstrated the ability of data to bring teams together in order to improve care and reduce health care costs.






August 5, 2015

On August 4th and 5th, Brady Augustine gave invited presentations and workshops to leaders and senior staff of California Medicaid on the topics of:


Data Quality and Analytics


Managed Care Alignment


Program Integrity



February 2, 2013

In the Jan-Feb 2013 issue, Harvard Business Review noted why analytics projects often do not live up to expectations:


"In their quest to extract insights from the massive amounts of data now available from internal and external sources, many companies are spending heavily on IT tools and hiring data scientists. Yet most are struggling to achieve a worthwhile return. That’s because they treat their big data and analytics projects the same way they treat all IT projects, not realizing that the two...

October 4, 2012

From the October 2012 Harvard Business Review,


"More than anything, what data scientists do is make discoveries while swimming in data. It’s their preferred method of navigating the world around them. At ease in the digital realm, they are able to bring structure to large quantities of formless data and make analysis possible. They identify rich data sources, join them with other, potentially incomplete data sources, and clean the resulting set. In a competitive landscape where challenges keep c...

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