Big Data in Healthcare

Pouria Amirian has a PhD in Geospatial Information Science (GIS) and is a Principal Research Scientist in Data Science and Big Data at the Ordnance Survey GB and a Data Science Research Associate with the Global Health Network. He managed and led a joint project (Oxford and Stanford) on “Using Big Data Analysis Tools to Extract Disease Surveillance Information from Point-of-Care Diagnostic Machines”. Pouria has done research and development projects and lectured about Big Data, Data Science, Machine Learning, Spatial Databases, GIS, and Spatial Analytics since 2008. Trudie Lang is Professor of Global Health Research, Head of the Global Health Network, Senior Research Scientist in Tropical Medicine at Nuffield Department of Medicine, and Research Fellow at Green Templeton College at the University of Oxford. She has a PhD from the London School of Hygiene and Tropical Medicine and has worked within the industry, the World Health Organisation (WHO), NGOs and academia conducting clinical research studies in low-resource settings. Dr Lang is a clinical trial research methodologist with specific expertise in the capacity development and trial operations in low-resource settings. She currently leads the Global Health Network (GHN), which is a focused network of researchers to help clinical researchers with trial design, methods, interpretation of regulations, and general operations.Francois Van Loggerenberg is Scientific Lead of the Global Health Network, based out of the Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine. Originally trained as a research psychologist, from 2002 to 2012 Francois was employed at the Nelson R Mandela School of Medicine in Durban, South Africa, where he worked initially as the study coordinator on a large HIV pathogenesis study at the Centre for the AIDS Programme of Research in South Africa (CAPRISA). In 2005 he was awarded a Doris Duken Foundation Operations Research For AIDS Care and Treatment In Africa grant that funded his PhD work on enhancing adherence to antiretroviral therapy (2011, London School of Hygiene and Tropical Medicine).

“This book serves as an introduction to and definition of what constitutes ‘big data’ and touches on some of the issues encountered in using large data sets, including analytical and ethical challenges. … The book seems most appropriate for pharmaceutical company managers and executives, as it creates an awareness of the availability and potential of tapping into big data.” (Michael R. Jacobs, Doody's Book Reviews, January, 2018)

• Introduction – Improving Healthcare with Big Data.- Data Science and Analytics.- Big Data and Big Data Technologies.- Big Data Analytics for Extracting Disease Surveillance Information: An Untapped Opportunity.- Ebola and Twitter. What Insights Can Public Health Draw from Social Media?