Digital technologies is a major emerging area to invest and research in new models of health management. Future health scenarios are constituted by technologies in health and clinical decision-making systems. This book provides a unique multidisciplinary approach for exploring the potential contribution of AI and digital technologies in enabling global healthcare systems to respond to urgent twenty-first-century challenges. Deep analysis has been made regarding telemedicine using big data, deep learning, robotics, mobile and remote applications.

Features:

• Focuses on prospective scenarios in health to predict possible futures.
• Addresses the urgent needs of the key population, socio-technical and health themes.
• Covers health innovative practices as 3D models for surgeries, big data to treat rare diseases, and AI robot for heart treatments.
• Explores telemedicine using big data, deep learning, robotics, mobile and remote applications.
• Reviews public health based on predictive analytics and disease trends.

This book is aimed at researchers, professionals, and graduate students in computer science, artificial intelligence, decision support, healthcare technology management, biomedical engineering, and robotics.
About the Author:

Maria José Sousa (PhD in Management) is a University Professor with Habilitation and a research fellow at ISCTE/Instituto Universitario de Lisboa. Her research interests currently are public policies, information science, innovation and management issues. She is a best-selling author in Research Methods, ICT and People Management and has co-authored over 100 articles and book chapters and published in several scientific journals (i.e. Journal of Business Research, Information Systems Frontiers, European Planning Studies, Systems Research e Behavioral Science, Computational and Mathematical Organization Theory, Future Generation Computer Systems, and others). She has also organised and peer-reviewed international conferences and is the guest-editor of more than five Special Issues from Elsevier and Springer. She has coordinated several European projects of innovation and is also External Expert of COST Association - European Cooperation in Science and Technology and is former President of the ISO/TC 260 - Human Resources Management, representing Portugal in the International Organisation for Standardisation.

Francisco Guilherme Nunes, before joining ISCTE-IUL in a full-time position (2005), worked as HRM consultant for five years and Marketing Researcher for ten years. After 2005, he taught several courses in HRM and Applied Research Strategies. It was the manager of several programmes in the HRM field (undergraduate, master and Ph.D. levels). He was the Director of the Human Resource and Organisational Behaviour Department for four years. More recently, he shifted his career to a more research orientation. His research interests are the determinants of organisational performance, organisational identity, and leadership development, especially in highly institutionalised contexts like healthcare services or public and non-profits.

Generosa do Nascimento is a PhD in Management, specialising in Human Resources and Organisational Behaviour, by ISCTE-IUL. She is Assistant Professor at the Department of Human Resources and Organisational Behaviour at ISCTE Business School. She is Director of the Executive Master in Strategic People Management and Leadership, of the Executive Master in Healthcare Services Management and of the Post-Graduation at ISCTE Executive Education. The main areas of research are healthcare management and strategic people management. She has been a member of boards of directors (or adviser) and has extensive consulting experience in strategic people management, healthcare services management and organisational change in multiple organisations, private, public and social economy, across different business sectors.

Chinmay Chakraborty, SMIEEE, is an Assistant Professor in Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India, and postdoctoral fellow of Federal University of Piaui, Brazil. His main research interests include the Internet of Medical Things, wireless body sensor networks, wireless networks, telemedicine, m-health/e-health, and medical imaging.