Medical practitioners are continuing to advance their knowledge of the latest technologies in order to keep up with the opportunities for faster and more reliable treatments for patients. Advancing Medical Practice through Technology: Applications for Healthcare Delivery, Management, and Quality focuses on the latest medical practices through the utilization of technologies and innovative concepts. This book is an essential reference source for researchers, academics, and industry professionals interested in the latest advancements in the healthcare, biomedicine, and medical communications fields.

Improvements in health services require continual attention and dedication to ensure proper care and treatment for citizens. To support this endeavor, professionals rely more and more on the application of information systems and technologies to promote the overall quality of modern healthcare. Maximizing Healthcare Delivery and Management through Technology Integration is an authoritative reference source for the latest scholarly research on the integration of ICT within the health services sector. Featuring comprehensive coverage on a range of topics from technical and non-technical perspectives, this book is an essential reference source for IT specialists, professionals, managers, and students seeking current research on the growing relationship between technology and healthcare.

Digital disruption in healthcare is generating new technologies, applications, and large data sets, and these are all precipitating significant changes in healthcare processes. Emerging applications due to digital disruption and their impact on healthcare delivery and quality are becoming some of the key focus areas of research. However, to date, systematic, generalizable, full-scale evaluation of these new technologies/applications is lacking. Little is known about the net short- or long-term health and wellness impacts of digital technologies. Similarly, the care-delivery and management process changes caused by digital disruption are forcing healthcare organizations to react rather than plan for them in advance. Given these gaps, this book addresses the technology, applications, data, and process aspects of digital disruption in healthcare. This volume is a collection of key areas in health and wellness impacted by digital disruption. It highlights the benefits, barriers, facilitators, and transformative forces that are shaping healthcare digital disruption. Topics explored in the chapters include: Towards Network Medicine: Implementation of Panomics and Artificial Intelligence for Precision Medicine Telehealth Implementation: A Synopsis of Patients’ Experience of Clinical Outcomes Realising the Healthcare Value Proposition of Better Access, Quality and Value of Care by Incorporating the Social Determinants of Health with Digital Health The Internet Hospital in the Time of COVID-19: An Example from China Given the diverse interest in healthcare delivery solutions today, the need is broad across academia and the healthcare industry for a comprehensive resource for teaching, practice, and research. Digital Disruption in Healthcare is a point-of-entry resource for transferring theory into practice for heads of IT departments in hospitals, consultants, and academia, as well as scholars and researchers. Both graduate and undergraduate students as well as certificate-seeking health informatics and public health students would benefit from this book. Furthermore, it is useful for healthcare stakeholders including healthcare professionals, clinicians, medical administrators, managers, consultants, policy-makers, and IT practitioners within the healthcare space.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Software applications once held on local computers and servers are beginning to shift to the public Internet sphere, and private health information is no exception. The likelihood of placing once restricted and private health records “in the cloud” is increasing. Cloud Computing Applications for Quality Health Care Delivery focuses on cloud technologies that could affect quality in the healthcare field. Leading experts in this area offer their knowledge and contribute to the demystification of healthcare in the Cloud. This publication will prove to be a useful tool for undergraduate and graduate students of healthcare quality and management, healthcare managers, and industry professionals.

Although the standards in electronic health records and general healthcare services continue to evolve, many organizations push to connect interoperability with public service and basic citizenship rights. This poses significant technical and organizational challenges that are the focus of many research and standardization efforts. Interoperability in Healthcare Information Systems: Standards, Management and Technology provides a comprehensive collection on the overview of electronic health records and health services interoperability and the different aspects representing its outlook in a framework that is useful for practitioners, researchers, and decision-makers.

There are many different approaches to understanding human consciousness. By conducting research to better understand various biological mechanisms, these can be redefined and utilized for technological purposes. Advanced Research on Biologically Inspired Cognitive Architectures is an essential reference source for the latest scholarly research on the biological elements of human cognition and examines the applications of consciousness within computing environments. Featuring exhaustive coverage on a broad range of innovative topics and perspectives, such as artificial intelligence, bio-robotics, and human-computer interaction, this publication is ideally designed for academics, researchers, professionals, graduate students, and practitioners seeking current research on the exploration of the intricacies of consciousness and different approaches of perception.