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Session 3: Alternative Data Sources: Analytical Challenges and Opportunities for Statisticians to Take the Lead
Session Chair(s)
Pandurang M Kulkarni, PhD
Chief Analytics Officer-R&D / Vice President of Statistics, Data & Analytics
Eli Lilly and Company, United States
Based on published research, 90 percent of data in the world has been created in just the last two years. This growth is expected to continue at a rate of 40 percent each year. Health care data is a major contributor to this growth, accelerating at a phenomenal rate of 48 percent every year. New technologies also accelerate this speed, such as electronic patient reported outcomes (ePROs), wearable devices, social media, and more. Key challenges are two fold: one is collecting, integrating, and making the data available quickly to be able to draw insights from the data. The other is how to address the variability, and how to make sense of mass data being generated by doctors, researchers, patients, and hospitals, so we can improve patients’ care. These challenges provide opportunities for improvements of current data storage/transfer infrastructure, analyzing methods, and a way to communicate the timely results. In this session, our distinguished speakers will provide their visionary insights and their recent works around these areas.
Learning Objective :
At the conclusion of this session, participants should be able to:
- Understand data, technology, and analytics methods to address your health care questions with data from alternative sources
Speaker(s)
Session Co-Chair
Laura Lee Johnson, PhD
FDA, United States
Director, Division of Biometrics III, Office of Biostatistics, OTS, CDER
Predicting Health Metrics with Connected Glucose Monitoring
Jesse Bridgewater
Livongo, United States
Vice President, Data Science
From Logbooks to Closed Loop Systems – How Data is Changing Diabetes Care
Marie Schiller
Lilly and Company, United States
Vice President, Drug Delivery/Device R&D Innovation
David M. Petullo, MSc
David M. Petullo, MSc
FDA, United States
Mathematical Statistician, OB, OTS, CDER
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