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[V3-S3] Implication of Medical Big Data Usage – Applicability and Challenges in Clinical Development
Session Chair(s)
Eiko Shimizu, PhD, MSc
Project Lecturer, Pharmaco-Business Innovation, Graduate School of Phama Science, The University of Tokyo, Japan
Rising cost and increased attrition rates is one of the challenges in drug development. There is a growing need of scientifically-rationalized drug development process from clinical trial design to postmarketing safety activities. Ranges of application of medical big data usage and infrastructure-building have been expanding. Meanwhile, many challenges for its efficient usage remain. In this session, examples of available medical big data and their utilization will be shared and potential utilization, challenges, and future perspective will be discussed with users and experts for database construction and data science. If you have any question about big data such as, “I need this analysis,” “Is it possible to use Big Data?” and “current issues,” please send an e-mail to Hideo.Susa@diaglobal.org by October 31, 2015.
Speaker(s)
Eiko Shimizu, PhD, MSc
Project Lecturer, Pharmaco-Business Innovation, Graduate School of Phama Science, The University of Tokyo, Japan
Medical Big Data Usage-Current Situation and Challenges of Medical Information Database Network (MID-NET?) Project
Nobutomo Matsui
Vice President, Real World Solutions, IQVIA Solutions Japan K.K. , Japan
How to Effectively Utilize Medical Big Data in Japan and Data Limitations
Toru Tsunoda
Manager, Sales Support Team, Platform Group, Solution Consulting Division 1, SAS Institute Japan Ltd., Japan
Advancement in IT Facilitating Utilization of Big Data and the Cases
Fumitaka Takahashi
Office of Informatics and Epidemiology, Pharmaceuticals and Medical Devices Agency (PMDA), Japan
Current Situation and Challenges of Medical Information Database Network (MID-NET) Project
Daisuke Shima, PhD
Director, Cardiovascular/Metabolism, Medical Affairs, Pfizer Japan Inc., Japan
Disruptive Data Generation Way by Using Clinical Database
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