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Activity Number: 275
Type: Roundtables
Date/Time: Tuesday, August 2, 2016 : 7:00 AM to 8:15 AM
Sponsor: Health Policy Statistics Section
Abstract #321203
Title: Learning Health Systems: From Ideas to Reality
Author(s): Rebecca Yates Coley*
Companies: Johns Hopkins Bloomberg School of Public Health
Keywords: EMRD ; intelligent health system ; EHR ; Epic ; precision medicine ; patient-centered medicine

Medicine is in a period of transition; increasing amounts of complex data are available on patients while the range of therapeutic options for preventing and treating disease has grown exponentially. Learning health systems promises to improve medical decision-making in the era of Big Data by making up-to-date analyses of patient information and scientific knowledge available to physicians and patients in real time. While advances in electronic health record infrastructure and statistical computing have made it possible to provide dynamic individualized decision support in a clinical setting, many statisticians are frustrated to encounter additional technical, institutional, and cultural barriers to implementing analytic tools in a learning health system framework. In this roundtable, we'll discuss how statistical expertise and collaborative leadership skills can be brought to bear on these challenges. For example, what statistical methods are best for supporting real-time analysis? How can statisticians effectively collaborate with informatics specialists to facilitate integration of analytic tools into the electronic health record? And how can statisticians provide leadership?

Authors who are presenting talks have a * after their name.

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