Digital Health Care Perspectives Applications And Cases

Digital Health Care: Perspectives, Applications, and Cases explores the trends, perspectives, and cases of Digital Healthcare and Informatics (DHI) that are transforming healthcare across the globe. Organized in 5 major connecting parts, this well-conceived text begins by laying out foundational DHI themes before focusing in on key DHI core technologies, developments, methods and challenges -- from big data analytics & artificial intelligence to security and privacy issues, clinical decision support systems, consumer health informatics, and more. It then explores DHI emerging technologies (e.g. sensors and wearable electronics), and concludes with short case studies and critical case questions designed to reinforce conceptual understanding. Written for undergraduates health professionals, this accessible text offers a multidisciplinary perspective that is suitable for use in variety of healthcare disciplines - from allied health and nursing to health administration & public health

Digital Health: Mobile and Wearable Devices for Participatory Health Applications is a key reference for engineering and clinical professionals considering the development or implementation of mobile and wearable solutions in the healthcare domain. The book presents a comprehensive overview of devices and appropriateness for the respective applications. It also explores the ethical, privacy, and cybersecurity aspects inherent in networked and mobile technologies. It offers expert perspectives on various approaches to the implementation and integration of these devices and applications across all areas of healthcare. The book is designed with a multidisciplinary audience in mind; from software developers and biomedical engineers who are designing these devices to clinical professionals working with patients and engineers on device testing, human factors design, and user engagement/compliance. Presents an overview of important aspects of digital health, from patient privacy and data security to the development and implementation of networks, systems, and devices Provides a toolbox for stakeholders involved in the decision-making regarding the design, development, and implementation of mHealth solutions Offers case studies, key references, and insights from a wide range of global experts

Roadmap to Successful Digital Health Ecosystems: A Global Perspective presents evidence-based solutions found on adopting open platforms, standard information models, technology neutral data repositories, and computable clinical data and knowledge (ontologies, terminologies, content models, process models, and guidelines), resulting in improved patient, organizational, and global health outcomes. The book helps engaging countries and stakeholders take action and commit to a digital health strategy, create a global environment and processes that will facilitate and induce collaboration, develop processes for monitoring and evaluating national digital health strategies, and enable learnings to be shared in support of WHO’s global strategy for digital health. The book explains different perspectives and local environments for digital health implementation, including data/information and technology governance, secondary data use, need for effective data interpretation, costly adverse events, models of care, HR management, workforce planning, system connectivity, data sharing and linking, small and big data, change management, and future vision. All proposed solutions are based on real-world scientific, social, and political evidence. Provides a roadmap, based on examples already in place, to develop and implement digital health systems on a large-scale that are easily reproducible in different environments Addresses World Health Organization (WHO)-identified research gaps associated with the feasibility and effectiveness of various digital health interventions Helps readers improve future decision-making within a digital environment by detailing insights into the complexities of the health system Presents evidence from real-world case studies from multiple countries to discuss new skills that suit new paradigms

This book presents a hands on approach to the digital health innovation and entrepreneurship roadmap for digital health entrepreneurs and medical professionals who are dissatisfied with the existing literature on or are contemplating getting involved in digital health entrepreneurship. Topics covered include regulatory affairs featuring detailed guidance on the legal environment, protecting digital health intellectual property in software, hardware and business processes, financing a digital health start up, cybersecurity best practice, and digital health business model testing for desirability, feasibility, and viability. Digital Health Entrepreneurship is directed to clinicians and other digital health entrepreneurs and stresses an interdisciplinary approach to product development, deployment, dissemination and implementation. It therefore provides an ideal resource for medical professionals across a broad range of disciplines seeking a greater understanding of digital health innovation and entrepreneurship.

Diabetes Digital Health brings together the multifaceted information surrounding the science of digital health from an academic, regulatory, industrial, investment and cybersecurity perspective. Clinicians and researchers who are developing and evaluating mobile apps for diabetes patients will find this essential reading, as will industry people whose companies are developing mobile apps and sensors. Provides valuable information for clinicians, researchers and industry about the design and evaluation of patient-facing diabetes adherence technologies Highlights cutting-edge topics that are presented and discussed at the Digital Diabetes Congress

Health management information systems : a managerial perspective / Joseph Tan -- Health management information systems executives : roles and responsibilities of chief executive officers and chief information officers in healthcare services organizations / Joseph Tan -- Online health information seeking : access and digital equity considerations / Fay Cobb Payton and Joseph Tan -- Health management information system enterprise software : the new generation of HMIS administrative applications / Joshia Tan with Joseph Tan -- Community health information networks : building virtual communities and networking health provider organizations / Jayfus T. Doswell, SherRhonda R. Gibbs, and Kelley M. Duncanson -- Trending toward patient-centric management systems / Joseph Tan with Joshia Tan -- Health management information system integration : achieving systems interoperability with Web services / J.K. Zhang and Joseph Tan -- Health management strategic information system planning/information requirements / Jon Blue and Joseph Tan -- Systems development : health management information system analysis and developmental methodologies / Joseph Tan -- Data stewardship : foundation for health management information system design, implementation, and evaluation / Bryan Bennett -- Managing health management information system projects : system implementation and information technology services management / Joseph Tan -- Health management information system standards : standards adoption in healthcare information technologies / Sanjay P. Sood ... [et al.] -- Health management information system governance, policy, and international perspectives : HMIS globalization through e-health / Anantachai Panjamapirom and Philip F. Musa -- Health management information system innovation : managing innovation diffusion in healthcare services organizations / Tugrul U. Daim, Nuri Basoglu, and Joseph Tan.

Digital healthcare can dramatically revolutionise the delivery of healthcare in health and social care settings. Technology enabled care greatly improves health outcomes, enhances end users' experiences and saves money. This practical book from frontline with case studies, checklists, FAQs etc.

This book focuses on the applications of different digital platforms in the field of healthcare. It describes different devices used in digital healthcare, their benefits, diagnosis, use in treatment, and use cases related to mobile healthcare. Further, it covers machine and deep learning, blockchain technology, big data analytics as relevant to digital healthcare, telehealth technology, and digital applications in the field of push-and-pull pharma marketing. Overall, it enables readers to understand the basics of decision-making processes using digital techniques for the healthcare field. Features: Discusses various aspects of digitization of healthcare systems Examines deployment of machine learning including IoT and medical analytics Provides studies on the design, implementation, development, and management of intelligent healthcare systems Includes sensor-based digitization of healthcare data Reviews real-time advancement and challenges of digital communication in the field of healthcare This book is aimed at researchers and graduate students in healthcare, internet of things, machine learning, computer science, robotics, wearables, electrical engineering, and biomedical engineering.

The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.