In this presentation, we will introduce blockchain technologies, including their benefits, pitfalls, and the latest applications, to the healthcare domains. Especially for clinicians, technologists, healthcare executives, informaticians and researchers, we aim at covering the following topics:
Additionally, we will present a use case of blockchain for the healthcare predictive modeling, as most existing privacy protecting methods are based on centralized architecture which presents security and robustness vulnerabilities. We will describe the adaption of blockchain for privacy-preserving machine learning, without revealing any patient health information. To summarize, we will give an overview of blockchain for healthcare, to reveal the impact of this emerging technology and its potential applications.
Dr Lucila Ohno-Machado Chair, UC San Diego Health, Department of Biomedical Informatics (USA)
Lucila Ohno-Machado, MD, MBA, PhD received her medical degree from the University of São Paulo and her doctoral degree in medical information sciences and computer science from Stanford. She is Associate Dean for Informatics and Technology, and the founding chair of the Health System Department of Biomedical Informatics at UCSD, where she leads a group of faculty with diverse backgrounds in medicine, nursing, informatics, and computer science. Prior to her current position, she was faculty at Brigham and Women’s Hospital, Harvard Medical School and at the MIT Division of Health Sciences and Technology. Dr. Ohno-Machado is an elected fellow of the American College of Medical Informatics, the American Institute for Medical and Biological Engineering, and the American Society for Clinical Investigation. She serves as editor-in-chief for the Journal of the American Medical Informatics Association since 2011. She directs the patient-centered Scalable National Network for Effectiveness Research funded by PCORI (and previously AHRQ), a clinical data research network with over 24 million patients and 14 health systems, as well as the NIH/BD2K-funded Data Discovery Index Consortium. She was one of the founders of UC-Research eXchange, a clinical data research network that connected the data warehouses of the five University of California medical centers. She was the director of the NIH-funded National Center for Biomedical Computing iDASH (integrating Data for Analysis, ‘anonymization,’ and Sharing) based at UCSD with collaborators in multiple institutions. iDASH funded collaborations involving study of consent for data and biospecimen sharing in underserved and under-represented populations.
Dr Tsung-Ting Kuo Postdoctoral Fellow, UCSD Health Department of Biomedical Informatics (USA)
Dr Tsung-Ting Kuo, PhD is a Postdoctoral Fellow in DBMI, School of Medicine, UCSD. He earned his Ph.D. from National Taiwan University (NTU), M.S. from National Chiao-Tung University (NCTU), and B.S. from National Cheng-Kung University (NCKU), all in Computer Science. He was the major contributor of the UCSD DBMI team, which was one of the winners of the Use of Blockchain in Health IT and Health-related Research Challenge hold by The Office of the National Coordinator for Health Information Technology (ONC) in 2016. He was a runnerup for the Best Dissertation Award from Association of Computational Linguistic in Taiwan (ACLCLP) and Taiwan Institute of Electrical and Electronic Engineering (TIEEE) in 2014. He was also a winner of NTU Outstanding Performance Scholarship in 2011, and many other awards. Besides, he was a major contributor in the NTU team, winning four times of Association for Computing Machinery (ACM) Knowledge Discovery and Data Mining (KDD) Cup from 2008 to 2011. His current research interests include blockchain technologies, machine learning, and natural language processing.
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