Creating Knowledge Based Healthcare Organizations brings together high quality concepts closely related to how knowledge management can be utilized in healthcare. It includes the methodologies, systems, and approaches needed to create and manage knowledge in various types of healthcare organizations. Furthermore, it has a global flavor, as we discuss knowledge management approaches in healthcare organizations throughout the world. For the first time, many of the concepts, tools, and techniques relevant to knowledge management in healthcare are available, offereing the reader an understanding of all the components required to utilize knowledge.

This book provides an overview of key issues with regards to implementing telemedicine services as well as an in depth overview of telemedicine in pulmonary, critical care, and sleep medicine. Topics range from specific practices to program development. Telemedicine has experienced explosive growth in recent years and yet, implementing telemedicine solutions is complex with substantial regulatory, legal, financial, logistical, and intra-organization/intra-personal barriers that must be overcome. This book provides the necessary information and guidance to address those complex issues. This book is broadly divided into two parts 1) a primer on requisite steps before embarking on telemedicine service development and 2) specific applications and examples where telemedicine is successfully utilized to improve quality of care in pulmonary, critical care, and sleep medicine. The first part includes coverage of telemedicine and finance, regulatory and legal issues, and program development. The second part delves into specifics with information on ambulatory telemedicine programs, inpatient consultations, and tele-ICU programs. All chapters are written by interprofessional authors that are leaders in the field of telemedicine with extensive knowledge of diverse telemedicine programs and robust real-world experience on the topic. This is an ideal guide for telehealth program managers, and pulmonary, critical care, and sleep medicine professionals interested in improving their telehealth practice.

HUMAN-MACHINE INTERFACE The book contains the latest advances in healthcare and presents them in the frame of the Human-Machine Interface (HMI). The Human-Machine Interface (HMI) industry has witnessed the evolution from a simple push button to a modern touch-screen display. HMI is a user interface that allows humans to operate controllers for machines, systems, or instruments. Most medical procedures are improved by HMI systems, from calling an ambulance to ensuring that a patient receives adequate treatment on time. This book describes the scenario of biomedical technologies in the context of the advanced HMI, with a focus on direct brain-computer connection. The book describes several HMI tools and related techniques for analyzing, creating, controlling, and upgrading healthcare delivery systems, and provides details regarding how advancements in technology, particularly HMI, ensure ethical and fair use in patient care. Audience The target audience for this book is medical personnel and policymakers in healthcare and pharmaceutical professionals, as well as engineers and researchers in computer science and artificial intelligence.

Advances in the area of wireless and mobile telemedicine to diagnose and treat patients have drawn growing attention from healthcare providers and recipients, industry, researchers, and governments.This volumeexamines computing and network dilemmas which arise from wireless and mobile telemedicine. Comprised of the contributions of many prominent international researchers, the book gives an overview of patient care and monitoring, discusses the use of telemedicine in cardiology and diabetes, analyzes security and privacy considerations, examines issues relating to networking support, and concludes with a section on the opportunities and challenges that are faced by those involved in this exciting technology.

With the widespread knowledge and use of e-government, the intent and evaluation of e-government services continues to focus on meeting the needs and satisfaction of its citizens. E-Government Services Design, Adoption, and Evaluation is a comprehensive collection of research on assessment and implementation of electronic/digital government technologies in organizations. This book aims to supply academics, practitioners and professionals with the understanding of e-government and its applications and impact on organizations around the world.

Anesthesia Outside of the Operating Room is a comprehensive, up-to-date textbook that covers all aspects of anesthesia care in OOR settings, from financial considerations to anesthetic techniques to quality assurance. With increasing numbers of procedures such as cardiac catheterization and imaging taking place outside of the main OR, anesthesia providers as well as non-anesthesia members of the patient care team will find this book critical to their understanding of the principles of anesthesia care in unique settings which may have limited physical resources. Topics include patient monitoring techniques, pre-procedure evaluation and post-procedure care, and procedural sedation performed by non-anesthesia providers. The authors address problems of anesthesia that have unique answers in OOR settings, such as patient transport and cardiac arrest, and discuss technological progress and considerations for the future. The text also covers surgical procedures and anesthetic considerations by procedure location, such as radiology, infertility clinics, field and military environments, and pediatric settings, among many others Select guidelines from the American Society of Anesthesiologists (ASA) are provided as well. Edited by the senior faculty from Harvard Medical School and with contributions from other academic institutions, Anesthesia Outside of the Operating Room provides a unique and convenient compendium of expertise and experience.

What is artificial intelligence (AI)? What is healthcare robotics? How can AI and healthcare robotics assist in contemporary medicine? Robotics and AI can offer society unimaginable benefits, such as enabling wheelchair users to walk again, performing surgery in a highly automated and minimally invasive way, and delivering care more efficiently. AI for Healthcare Robotics explains what healthcare robots are and how AI empowers them in achieving the goals of contemporary medicine.

This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.

Medical Image Databases covers the new technologies of biomedical imaging databases and their applications in clinical services, education, and research. Authors were selected because they are doing cutting-edge basic or technology work in relevant areas. This was done to infuse each chapter with ideas from people actively investigating and developing medical image databases rather than simply review the existing literature. The authors have analyzed the literature and have expanded on their own research. They have also addressed several common threads within their generic topics. These include system architecture, standards, information retrieval, data modeling, image visualizations, query languages, telematics, data mining, and decision supports. The new ideas and results reported in this volume suggest new and better ways to develop imaging databases and possibly lead us to the next information infrastructure in biomedicine. Medical Image Databases is suitable as a textbook for a graduate-level course on biomedical imaging or medical image databases, and as a reference for researchers and practitioners in industry.

- Summarizes the state of the art in the most relevant areas of medical physics and engineering applied to radiation oncology - Covers all relevant areas of the subject in detail, including 3D imaging and image processing, 3D treatment planning, modern treatment techniques, patient positioning, and aspects of verification and quality assurance - Conveys information in a readily understandable way that will appeal to professionals and students with a medical background as well as to newcomers to radiation oncology from the field of physics