BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT

Boston, MA
Oct. 23-24, 2017

Niteesh Choudhry

Executive Director, Center for Healthcare Delivery Sciences
Brigham and Women's Hospital, Harvard Medical School

Niteesh K. Choudhry, M.D., Ph.D., is an internist and health services researcher whose work focuses on the development and evaluation of novel strategies to improve health care quality and reduce spending.  He is professor medicine at Harvard Medical School, the founding executive director of the Center for Healthcare Delivery Sciences and an associate physician in the Division of Pharmacoepidemiology and Pharmacoeconomics, at Brigham and Women's Hospital, where he is also a practicing hospitalist.

Much of Dr. Choudhry’s current research deals with non-adherence to evidence-based medications, a problem that is estimated to cost almost $300 billion annually in the U.S. alone. He has led and is leading numerous clinical trials embedded in real-world health systems aimed at addressing this issue.

A second focus of Dr. Choudhry’s work is predictive analytics: he seeks to identify which patients will ultimately become non-adherent to their prescribed therapies and why and when this will occur. He and his colleagues have applied and evaluated novel quantitative methods for clustering patients into longitudinal and dynamic adherence trajectories, shown their relationship to long-term clinical outcomes, and demonstrated the capacity to predict a patient’s membership in each of these adherence trajectories with great accuracy.  In ongoing work, he and his colleagues are exploring the ability of novel data sources, such as retail purchasing information and electronic health record data, to improve the ability to predict future non-adherence.

October 24, 2017
9:05am - 9:50am
America Ballroom

Medication non-adherence is a key determinant of chronic disease outcomes, but it continues to challenge the healthcare system. Healthcare professionals frequently deliver interventions in a one-size fits all approach. The results, predictably, are modest. This occurs despite robust scientific evidence that everyone is different:  some people require less intervention, others more.

The sweet spot for success? Using data to segment patient populations and run better, more targeted interventions.

In this keynote, Niteesh Choudhry, MD, who has spent years as a physician and researcher working to improve medication adherence, examines the industry’s ongoing challenges. The “good news,” he says, is that while there’s still a lot of work to do, techniques are available to use routinely collected data to segment patient populations and deliver better smarter interventions.

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