San Francisco, CA
May 15-16, 2017
Medical Director of Health Analytics
Dignity Health

Since joining Dignity Health in 2013, Dr. Gurmeet Sran has worked closely with leadership and IT staff to ensure proper deployment of EMRs, governance oversight, and ongoing innovation in the health IT space. Currently he is the Medical Director of Health Analytics, overseeing a team of physicians and statisticians who are aggregating and analyzing clinical information across the organization to enable reduced variation of care, decreased cost, and improved outcomes. By leveraging machine learning techniques, text analytics, and “big data” computing architectures, his team has developed and implemented models to improve sepsis detection and help risk segment patient populations for ongoing interventions. Prior to Dignity Health, Dr. Sran completed his residency in Internal Medicine at Stanford Hospitals and Clinics where he was active with members of the administration in trying to analyze and reduce expenditures in the hospital setting. In addition, he holds a Masters in Computational Biology from the University of Pennsylvania as well as a Bachelors of Science in Bioengineering from UC Berkeley.

May 15, 2017
10:05am - 10:45am
Grand Ballroom

The U.S health care systems broad adoption of EHRs has dramatically increased the quantity of clinical data available electronically. Simultaneously, rapid progress has been made in clinical analytics—techniques for analyzing large quantities of data and gleaning new insights from that analysis. This is all part of the big data “revolution.” As a result, there are unprecedented opportunities to use big data to reduce the costs of health care in the United States.

But what exactly are those opportunities, and how are big data and analytics changing the delivery of care as we know it?

In this opening leadership discussion, our distinguished panel of healthcare data experts discuss the insights likely to emerge from clinical analytics, the types of data needed to obtain such insights, and the infrastructure—analytics, algorithms, registries, assessment scores, monitoring devices, and so forth—that organizations will need to perform the necessary analyses and to implement changes that will improve care while reducing costs

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