Intelligent Health Policy

This book provides a general overview of intelligence in health policy, health-care organizations and health services in the light of the current EU digital agenda, which aims to make health data and e-health tools publicly available. The first part analyses the implications of knowledge management and decision-making procedures for intelligent health policies and governance. The second part discusses in detail the concept of intelligence and illustrates why the perspective of organizational intelligence offers a solution to contemporary problems in health care, while the third part focuses on intelligent leadership models in health-care organizations. Providing a guide to new ways of understanding, developing, and reforming health policy and health services, it appeals to scholars as well as decision-makers in health governance and health-care institutions.

We are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the Cloud, this shift is already transforming the way health and medical services are provided. As the industry transitions from static digital repositories to intelligent systems, there will be winners and losers in the race to innovate and automate the provision of services. Critical to success will be the role leaders play in shaping the use of AI to be less "artificial" and more "intelligent" in support of improving processes to deliver care and keep people healthy and productive across all care settings. This book defines key technical, process, people, and ethical issues that need to be understood and addressed in successfully planning and executing an enterprise-wide AI plan. It provides clinical and business leaders with a framework for moving organizations from the aspiration to execution of intelligent systems to improve clinical, operational, and financial performance.

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services. This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided. Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.

Over the last decade the changing healthcare environment has driven hospitals to critically evaluate and optimize their operations to enhance patient treatment and care. Hospitals have moved to support an increasing outpatient care environment, driving an increased in-patient acuity levels. At many institutions these changes have been accompanied with regulatory and financial constraints impacting capital and operating budgets as well as impacting staffing. Specific hospital wide initiatives, such as the Joint Commission's patient safety goals, electronic medical record and meaning full use have driven institutions to re-design their operations to create what has been defined as the Intelligent Hospital. To deal with the complexity of patient care workflows, enhance patient diagnosis, treatment, care, safety and satisfaction, home health and telemedicine the design of Intelligent Hospitals has focused on the integration of diverse technologies, to provide a seamless exchange of information. This book outlines the technologies and clinical applications which constitute the fundamentals of the Intelligent Hospital and the technologies that support patient care and health management across a spectrum of healthcare environments, the home, remote offices and treatment facilities and the hospital itself. The book will introduce the changing environment of care resulting in new distributions of patients across a broad spectrum of the patient acuity and care environments, including the Intelligent Hospital; supporting treatment areas, such as the OR, Radiation Therapy, interventional radiology, patient care areas, such as the ICU, ambulatory / telemetry as well as all supporting functionality, including infection control, laboratory medicine, pathology, biomedical engineering, Informatics and Information Technology; I-Home supporting networked dynamically interact with the technologies and application in a variety of care settings. These include the traditional patient care and treatment environments, such as the OR, ICU, Trauma ED, Labor and Delivery, as well as Outpatient Center, Digital Hospital supply chain suite, advanced Biomedical Engineering and the i-HOME(TM) (i.e. Connected Smart Home/Intelligent Medical Home). Telemedicine systems, sensors and transducer to enable complex and seamless patient monitoring at home; as well as series of remote healthcare environments, including the office, and same day treatment areas. Each chapter will describe the fundamentals of integrating diverse technologies and clinical systems to create a seamless environment enabling data to be share across the complete spectrum care environment, starting from the ambulance, through the emergency room, diagnostics, treatment and recovery in the hospital to the home environment. As summarized in the table of contents the book will highlight and detail specific topics, including medical devices and applications, robotic, supply management, location-based services, artificial intelligence, etc., focusing on connectivity, integrations and architecture to create a seamless environment. dynamically interact with the technologies and application in a variety of care settings. These include the traditional patient care and treatment environments, such as the OR, ICU, Trauma ED, Labor and Delivery, as well as Outpatient Center, Digital Hospital supply chain suite, advanced Biomedical Engineering and the i-HOME(TM) (i.e. Connected Smart Home/Intelligent Medical Home).

This book presents the papers included in the proceedings of the 5th International Conference of Reliable Information and Communication Technology 2020 (IRICT 2020) that was held virtually on December 21–22, 2020. The main theme of the book is “Innovative Systems for Intelligent Health Informatics”. A total of 140 papers were submitted to the conference, but only 111 papers were published in this book. The book presents several hot research topics which include health informatics, bioinformatics, information retrieval, artificial intelligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering.

This book calls on policymakers, managers, educators and clinical staff to apply and nurture intelligent kindness in the organisation and delivery of care.

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services. This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided. Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.

Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.