Boston, MA
Oct. 22-23, 2018
Executive Director, Real-World Education, Detection and Intervention
The University of Texas System

Lynda Chin, MD, is an elected member of the National Academy of Medicine and a world renowned cancer genomic scientist who had authored over 200 peer-reviewed publications, and delivered over 300 presentations in national and international conferences. 

Her work spans the fields of transcription, telomere biology, mouse models of human cancers, cancer genomics and personalized medicine, as well as development of novel drug development construct and technology-enabled healthcare transformation for the underserved.  

As a clinically trained physician scientist, Dr. Chin is passionate about improving health and health outcome of patients through science and technology. As an innovator, Dr. Chin is a champion for foundational infrastructure that integrates across research and clinical care domains as well as across industry sectors, because she believes that broad and material impact from science and technology can only be realized through collaboration that needs to be enabled and facilitated by such infrastructure among otherwise independent (public or private) enterprises. Dr. Chin is also an entrepreneur who has founded or co-founded 3 biotechnology and AI companies.

October 22, 2018
12:10pm - 12:40pm
America Ballroom

Physician and cancer-genomic scientist Lynda Chin is passionate about improving health and health outcomes for patients through science and technology. In this session, she addresses a critical question, perhaps the critical question: How do you leverage data and analytics to empower clinicians and patients to be more proactive and timely in managing care?

As she’ll explain, no analytic solution is any good without data governance (it’s key to trust and transparency), but beyond that, integrating data into practice requires a cultural shift and the data literacy necessary to understand how turn data into knowledge. Only then can healthcare organizations execute and scale a data & analytics strategy to address specific problems

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