Improved computing technology combined with IoT-enabled smart devices and the digitization of personal health records (PHRs) has created vast quantities of patient data in recent years. The availability of this data and new processing methods are enabling clinicians to provide better care for patients and has sparked a growing interest in consumer health informatics (CHI) and in the potential of patient-generated health data (PGHD).
This edited book looks at the current and future trends in CHI and PGHD for various health informatic technologies. It is hoped that this analysis of the existing applications will inform network management and data analytics for healthcare systems. The book explores new models for processing this data to infer new results and outlines the many challenges faced, such as interoperability, consumerisation, fostering two-way communication, digitisation of healthcare systems in clinical settings, and patient engagement.
The book presents advances in healthcare informatics technologies, by highlighting improvements and introducing emerging technologies and platforms for different applications in healthcare. The editors focus on methodologies, theories, tools, applications, trends, challenges, and case studies in and of healthcare informatics.
Bringing together chapters on bioinformatics, augmented reality, image processing, wireless smart wearable devices, communication technologies (and related security and privacy solutions), the editors provide a cohesive review of healthcare informatics, which will be a valuable reference for researchers, industry practitioners, and related government agencies staff.
Mohamed Abouhawwash is an assistant professor with the Department of Mathematics, Mansoura University, Egypt and a Visiting Scholar with the Department of Mathematics and Statistics at Thompson Rivers University, Canada. Mohamed Abouhawwash was a recipient of the best master's and PhD thesis awards from Mansoura University in 2012 and 2018, respectively. His research interests include evolutionary algorithms, machine learning, image reconstruction, and mathematical optimization.
Sudeep Tanwar is a full professor in the Computer Science and Engineering Department at the Institute of Technology, Nirma University, India. He is also a visiting professor at Jan Wyzykowski University in Polkowice, Poland and at the University of Pitesti, Romania. He serves on the editorial boards of several international journals. His current interests include wireless sensor networks, fog computing, smart grid, IoT, blockchain technology and healthcare.
Anand Nayyar is an assistant professor in the Faculty of Information Technology at Duy Tan University, Vietnam. He has published over 350 research papers and 25 books, and has presented or chaired sessions at more than 100 international conferences. He is editor in chief of International Journal of Smart Vehicles and Smart Transportation (IJSVST), IGI-Global, USA. His research interests include wireless sensor networks, mobile ad hoc networks and swarm intelligence.
Mohd Naved is a professor at Amity University, India. He is a senior member of IEEE and is actively engaged in academic research on various topics in management and technology. He has published multiple books and 60+ research papers, and holds editorial positions in various reputed and indexed journals in artificial intelligence, machine learning and business analytics. He has 16 patents in AI/ML and actively engages in commercialization of innovative products developed at university level.
