Digital technologies are currently dramatically changing healthcare. Cloud healthcare is an increasingly trending topic in the field, converging skills from computer and health science. This new strategy fosters the management of health data at a large scale and makes it easier for healthcare organizations to improve patient experience and health team productivity while helping the support, security, compliance, and interoperability of health data.
Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare is a reference in the ongoing digital transformation of the healthcare sector. It presents a comprehensive state-of-the-art approach to cloud internet of things health technologies and practices. It provides insights over strategies, methodologies, techniques, tools, and services based on emerging cloud digital health solutions to overcome digital health challenges. Covering topics such as auxiliary systems, the internet of medical things, and natural language processing, this premier reference source is an essential resource for medical professionals, hospital administrators, medical students, medical professors, libraries, researchers, and academicians.
Digital technologies are currently dramatically changing healthcare. Cloud healthcare is an increasingly trending topic in the field, converging skills from computer and health science. This new strategy fosters the management of health data at a large scale and makes it easier for healthcare organizations to improve patient experience and health team productivity while helping the support, security, compliance, and interoperability of health data.
Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare is a reference in the ongoing digital transformation of the healthcare sector. It presents a comprehensive state-of-the-art approach to cloud internet of things health technologies and practices. It provides insights over strategies, methodologies, techniques, tools, and services based on emerging cloud digital health solutions to overcome digital health challenges. Covering topics such as auxiliary systems, the internet of medical things, and natural language processing, this premier reference source is an essential resource for medical professionals, hospital administrators, medical students, medical professors, libraries, researchers, and academicians.
Ricardo Queirós holds a PhD on Computer Science
and is an assistant professor of Computer Science at the
Polytechnic Institute of Porto. He is also a researcher in the
field of e-learning interoperability and programming languages
learning at the Center for Research in Advanced Computing Systems
(CRACS) research group of INESC TEC Porto. He is also the author of
5 books regarding Android development and has almost 100 scientific
publications focused on computer science education.
Bruno Cunha holds a PhD in Computer Science and is
a Research Scientist at Porto Research, Technology & Innovation
Center (PORTIC) and a Professor at the informatics engineering
department of the Institute of Engineering of Porto (ISEP), both
part of the Polytechnic Institute of Porto (P.Porto). His research
interests are in the areas of optimization and machine learning.
His current investigation focuses on the application of these
technologies to the digital health field, creating new efficient
and intelligent technologies to support different stages of the
medical treatment.
Xavier Fonseca is a Doctor Engineer that aims for
positive impact in society through research and IT-based solutions.
Fonseca is driven by innovation, and actively seeks for ways to
build software and technology that can be created from underlying
values such as social responsibility, privacy, and high
performance. Fonseca uses the knowledge and professional experience
accumulated over the years to tackle ever-evolving world-wide
complex problems. Fonseca co-authored multiple articles in top
scientific journals and has presented work on several national and
international conferences. The topics addressed are on social
cohesion, meaningful social interaction, playable cities,
requirements engineering, user profiling, civic engagement,
location-based games, serious digital games, games for education,
and high performance computing to speed up artificial
intelligence-based sequential algorithms (with the use of general
purpose GPUs). Besides his scientific presentations, Fonseca also
gave presentations as keynote speaker to other research groups on
social cohesion, to help further define their research questions.
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