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Activity Number: 136 - Toward a Learning-Health System: Methods and Strategies for Data-Driven Health Care
Type: Invited
Date/Time: Monday, July 31, 2017 : 10:30 AM to 12:20 PM
Sponsor: Health Policy Statistics Section
Abstract #321881 View Presentation
Title: Statisticians Leading the Way: Advocating for Learning Health Systems and Collaborating Effectively with Clinical Stakeholders
Author(s): Rebecca Yates Coley* and Scott Zeger
Companies: Kaiser Permanente Washington Health Research Institute and Johns Hopkins University
Keywords: electronic health record ; precision medicine ; learning health system ; data science ; patient-centered
Abstract:

While advances in electronic health record infrastructure and statistical computing have made it possible to provide dynamic individualized decision support in a clinical setting, technical, institutional, and cultural barriers to fully realizing learning health systems remain. As a result, many statisticians have been frustrated to find that innovative modeling and prediction methods designed to support more intelligent health care are difficult to implement in the real world. This talk will focus on how statisticians can effectively advocate for data-driven health care and provide the necessary leadership to integrate statistically valid tools into the clinical workflow. We'll discuss an example from Johns Hopkins Medicine, where statisticians have developed and deployed a tool to assist in personalized management of prostate cancer.


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

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