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Make Data Work
Oct 15–17, 2014 • New York, NY

Health care conference sessions

Ryan Goldman (Cloudera), Ryan Brush (Cerner Corporation), Sabrina Dahlgren (Kaiser Permanente), Aashima Gupta (Kaiser Permanente), Michael Thompson (Children's Healthcare of Atlanta)
In this panel discussion, individuals representing key stakeholders across the healthcare ecosystem will share the ways they're applying Hadoop to solve big data challenges that will ultimately improve the quality of patient care while driving better healthcare affordability.
Sabrina Dahlgren (Kaiser Permanente), Rajiv Synghal (Kaiser Permanente)
Kaiser Permanente is dedicated to improving the quality of healthcare, and big data presents numerous opportunities to drive this mission forward.
Eugene Kolker (Seattle Children's)
This discussion touches on the human response to analysis results, especially when they do not support long held beliefs and how this effects organizational change. This discussion also focuses on Predictive Analytics best practices, team skills, and a review of what it takes to build a sustainable Predictive Analytics program.
Ailey Crow (Pivotal)
Slides:   1-PDF 
Automated image processing improves efficiency for a diverse range of applications from defect detection in manufacturing to tumor detection in medical images. We’ll go beyond traditional approaches to image processing, which fail for large image datasets, by leveraging Hadoop for processing a vast number of arbitrarily large images.
Allen Day (MapR Technologies)
Medicine is undergoing a renaissance made possible by analyzing and creating insights from this huge and growing number of genomes. This session will showcase how ETL and MapReduce can be applied in a clinical session.