This book reviews a number of issues including: Why data generated from
POC machines are considered as Big Data. What are the challenges in
storing, managing, extracting knowledge from data from POC devices? Why
is it inefficient to use traditional data analysis with big data?
What are the solutions for the mentioned issues and challenges? What
type of analytics skills are required in health care? What big data
technologies and tools can be used efficiently with data generated from
POC devices? This book shows how it is feasible to store vast numbers of
anonymous data and ask highly specific questions that can be performed
in real-time to give precise and meaningful evidence to guide public
health policy.