This book discusses information processing and communication in medicine, with the aim to improve quality in healthcare and diagnoses. By object-oriented analysis, modelling and design, the approach enables a development according to the needs of the medical environment. Following this approach, medical applications are realised using a heterogeneous distributed information management system. This system provides integration and communication of multimedia information for medical services. The book includes a contribution on medical terminology in clinical applications. The integrated hospital systems and the telemedicine services are well described and there is an interesting account on digital signal processing. It shows the underlying strengths the achievements in delivering such a huge and broad-ranging set of demonstrations in clinical practice. It forms an important record of a major contribution in the evolution of health informatics and discusses information processing and communication in medicine and presents a different approach.

Looking beyond the communications technology horizon and projecting future competency-specific employment demand, this book presents an evaluation of desirable information systems enhancements by integrating two disparate-domain computer ontologies. It provides readers a fresh solutions approach based on dynamic modeling and methodological contributions to philosophical and assistive communications system development in healthcare, addressing the need for both demand intelligence and practical work environment support. The pace of change in redefining occupation-specific employee resourcing needs is unrelenting and continues to accelerate. And the exponential growth in the demand for healthcare service delivery is correspondingly daunting. As such, the public and private sectors are faced with the challenge of sustaining credible relevant demand intelligence and recruitment practices, while integration, expansion and enrichment of ostensibly unconnected ontologies represent key R&D issues.

Digital Transformation in Healthcare in Post-Covid19 Times discusses recent advances in patient care and offers critical comparative insights into their application across multiple domains in healthcare. By showcasing key problems, best practices and emerging challenges, the book offers a state-of-art review of opportunities and prospects in the process of delivering smart sustainable healthcare services. Topics discussed include healthcare challenges in the post-COVID-19 era, enabling technologies for digital transformation, value driven approaches to the delivery of patient centric top-quality health services, and analytics and enhanced decision making. In addition, the book updates knowledge on best practices for training towards digital transformation and sustainable health. This is a valuable resource for healthcare professionals, medical doctors, researchers, graduate students and members of the biomedical field who are interested in learning more about the use of emerging technologies in healthcare.

Smart Healthcare for Disease Diagnosis and Prevention focuses on the advancement in healthcare technology to improve human health at all levels using smart technologies. It covers all necessary topics from basic concepts (such as signal and image processing) to advanced knowledge on topics such as tissue engineering, virtual and intelligent instrumentation (or VLSI) and Embedded Systems. This book can be used to guide students and young researchers, providing basic knowledge on signal/image processing and smart technologies. Users will find a perfect blend of the interdisciplinary approach to biomedical engineering. The book considers many technical concepts, emerging technologies, real-world healthcare applications, and many other technical, multidisciplinary notions in the same content. Finally, it systemically introduces the technologies and devices for healthcare objects and targets disease diagnosis and prevention in different views.

Septic shock remains a serious medical condition with high mortality. Despite many advances in intensive care medicine and antibiotic devel- ment, this has not changed appreciably in the last 20 years. Frustratingly, over the same period of time, enormous advances have been made in understa- ing the underlying pathogenic mechanisms of this condition. This has resulted in the development of several novel therapies for septic shock, which, despite excellent theoretical grounds for their efficacy, have failed in altering mort- ity attributable to sepsis. The reasons for these failures are multiple, but it is clear that further research is required aimed at increasing our understanding of the basic pat- physiological processes that occur following infection. Research into septic shock draws upon a number of different disciplines, ranging from molecular and cellular biology to physiological measurements on whole animals. Septic Shock Methods and Protocols is an attempt to draw together into one volume a number of protocols that are of use in the investigation of the mechanisms of septic shock. I have divided the book into five sections. The first deals with endotoxin, the lipopolysaccharide component of the Gram-negative cell m- brane that can mimic many of the features of septic shock. Gram-positive organisms are found increasingly as causes of septic shock, and several - pects of toxins produced from these bacteria are considered in the second s- tion.

The bright colour of haemoglobin has, from the very beginning, played a significant role in both the investigation of this compound as well as in the study of blood oxygen transport. Numerous optical methods have been developed for measuring haemoglobin concentration, oxygen saturation, and the principal dyshaemoglobins in vitro as well as in vivo. Modern applications include pulse oximeters, fibre optic oximeters, multiwavelength haemoglobin photometers ('co-oximeters') and instruments for near infrared spectroscopy in vivo. Knowledge of the light absorption spectra of the common haemoglobin derivatives is a prerequisite for the development and understanding of these techniques.
In the 1960s a reference method based on the absorptivity of a single derivative (haemiglobincyanide; HiCN) at a single wavelength (540 nm) was established for measuring the total haemoglobin concentration. Thus an anchor value was provided on which the absorptivity spectra of all other haemoglobin derivatives could be based.
This monograph presents absorption spectra and absorptivity data in the wavelength range of 480 to 1000 nm of the major haemoglobin derivatives for human adult and foetal haemoglobin and for haemoglobin of several animals (cow, dog, horse, pig, rat, and adult and foetal sheep). A detailed description of the methods used to acquire these data has been included to allow future investigators to reproduce and expand on the data.
The second part of the monograph includes chapters on the principles and development, in historical perspective, of the principal methods for measuring total haemoglobin concentration for two, three, and multi-component analysis of haemoglobin derivatives, and for blood oxygen saturation measurement. Accurate quantitative data pertaining to haemoglobin in human blood are presented, together with a description of methods for measuring haemoglobin oxygen capacity and oxygen affinity. These chapters have been written with a view to foster knowledge and insight concerning the principles, purposes, and limitations of the various methods of all who use these methods in research and patient care.

Consumer Satisfaction in Medical Practice will equip physicians and other decision makers in health care with the necessary tools to meet the growing demand for customers'satisfaction in medical practices. Addressing the deliverance of accurate and affective medical services, this intelligent guide provides you with proven techniques in order to provide competitive prices, convenience, accessibility, and quality outcomes to customers. Consumer Satisfaction in Medical Practice turns the delivery of health care toward the patient. Each recommendation will enable you to provide long-term and cost-effective benefits for customers and your company. Exposing common myths about medical practice, this knowledgeable book offers you a patient s perspective on the services they need and request to help you offer your customers the appropriate services. From Consumer Satisfaction in Medical Practice, you will be able to give customers the medical services they want with the help of proven methods and suggestions which include: remembering that office budgets, profits for practitioners, and financial strengths of progressive hospitals and physician service organizations exist to help offer better health services to customers creating a consumers'bill of rights that ensures patients that they are receiving the best possible care for their money, that every patient has a right to their own medical information, and that every patient has a right to express grievances sending out newsletters and announcements of staff changes and changes to office hours to improve physician services to patients incorporating consumer satisfaction in employee and physician performance evaluations and setting standards for consumer satisfaction measuring physician staff and employee satisfaction along with that of the patient and payer to improve provider conditions and consumer satisfaction increasing physician satisfaction by recognition through awards and an incentive systemFeaturing several charts, tables, and suggestion boxes, this guide contains effective steps that you can institute in order to offer excellent care to your customers. Consumer Satisfaction in Medical Practice allows you to expand and improve customer satisfaction for the benefit of your customers and your business.

Contains papers presented at the Third International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (1997), which provide evidence that computer-based models, and in particular numerical methods, are becoming essential tools for the solution of many problems encountered in the field of biomedical engineering. The range of subject areas presented include the modeling of hip and knee joint replacements, assessment of fatigue damage in cemented hip prostheses, nonlinear analysis of hard and soft tissue, methods for the simulation of bone adaptation, bone reconstruction using implants, and computational techniques to model human impact. Computer Methods in Biomechanics and Biomedical Engineering also details the application of numerical techniques applied to orthodontic treatment together with introducing new methods for modeling and assessing the behavior of dental implants, adhesives, and restorations.
For more information, visit the "http: //www.uwcm.ac.uk/biorome/international symposium on Computer Methods in Biomechanics and Biomedical Engineering/home page, or "http: //www.gbhap.com/Computer_Methods_Biomechanic s_Biome dical_Engineering/" the home page for the journal.

Predictive control is a powerful tool in dealing with those processes with large time delays. Generalized Predictive Control (GPC) is the most popular approach to the subject, and this text discusses the application of GPC starting with the concept of long-range predictive control and its need in medicine (particularly automated drug deliveries). The concept of adaptation is also emphasized with respect to patient-to-patient parameter variations. Subsequent chapters discuss interactions, comparisons and various aspects of GPC. The book concludes by putting into perpective the generic nature of the architecture built around GPC and which provides model-based fault diagnosis with control.

This open access book explores how expertise about bipolar disorder is performed on American and French digital platforms by combining insights from STS, medical sociology and media studies. It addresses topical questions, including: How do different stakeholders engage with online technologies to perform expertise about bipolar disorder? How does the use of the internet for processes of knowledge evaluation and production allow for people diagnosed with bipolar disorder to reposition themselves in relation to medical professionals? How do cultural markers shape the online performance of expertise about bipolar disorder? And what individualizing or collectivity-generating effects does the internet have in relation to the performance of expertise? The book constitutes a critical and nuanced intervention into dominant discourses which approach the internet either as a quick technological fix or as a postmodern version of Pandora's box, sowing distrust among people and threatening unified conceptualizations and organized forms of knowledge.

Hydrogels are networks of polymer chains which can produce a colloidal gel containing over 99 per cent water. The superabsorbency and permeability of naturally occurring and synthetic hydrogels give this class of materials an amazing array of uses. These uses range from wound dressings and skin grafts to oxygen-permeable contact lenses to biodegradable delivery systems for drugs or pesticides and scaffolds for tissue engineering and regenerative medicine. Biomedical Applications of Hydrogels Handbook provides a comprehensive description of this diverse class of materials, covering both synthesis and properties and a broad range of research and commercial applications. The Handbook is divided into four sections: Stimuli-Sensitive Hydrogels, Hydrogels for Drug Delivery, Hydrogels for Tissue Engineering, and Hydrogels with Unique Properties.

Key Features:

• Provides comprehensive coverage of the basic science and applications of a diverse class of materials
• Includes both naturally occurring and synthetic hydrogels
• Edited and written by world leaders in the field.

Mathematical Modeling, Simulations, and Artificial Intelligence for Emergent Pandemic Diseases: Lessons Learned from COVID-19 includes new research, models and simulations developed during the COVID-19 pandemic into how mathematical methods and practice can impact future response. Chapters go beyond forecasting COVID-19, bringing different scale angles and mathematical techniques (e.g., ordinary differential and difference equations, agent-based models, artificial intelligence, and complex networks) which could have potential use in modeling other emergent pandemic diseases. A major part of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling in ecology, economics and epidemiology. Readers will benefit from learning how to apply advanced mathematical modeling to a variety of topics of practical interest, including optimal allocations of masks and vaccines but also more theoretical problems such as the evolution of viral variants.

Design Automation Methods and Tools for Microfluidics-Based Biochips deals with all aspects of design automation for microfluidics-based biochips. Experts have contributed chapters on many aspects of biochip design automation. Topics covered include: device modeling; adaptation of bioassays for on-chip implementations; numerical methods and simulation tools; architectural synthesis, scheduling and binding of assay operations; physical design and module placement; fault modeling and testing; and reconfiguration methods.

Design of Pulse Oximeters describes the hardware and software needed to make a pulse oximeter, and includes the equations, methods, and software required for them to function effectively. The book begins with a brief description of how oxygen is delivered to the tissue, historical methods for measuring oxygenation, and the invention of the pulse oximeter in the early 1980s. Subsequent chapters explain oxygen saturation display and how to use an LED, provide a survey of light sensors, and review probes and cables. The book closes with an assessment of techniques that may be used to analyze pulse oximeter performance and a brief overview of pulse oximetry applications. The book contains useful worked examples, several worked equations, flow charts, and examples of algorithms used to calculate oxygen saturation. It also includes a glossary of terms, instructional objectives by chapter, and references to further reading.

The original edition of this text, Clinical Evaluation of Medical Devices: Principles and Case Studies, provided the first overview of key pr- ciples and approaches to medical device clinical trials, illustrated with a series of detailed, real-world case studies. The book is designed as a resource for clinical professionals and regulatory specialists working in the field of new medical device development and marketing. Since the first edition of this text was published in 1997, the rapid pace of inno- tion in health care technologies continues to yield exciting and important new products. The regulatory landscape has also evolved, reflecting some of the changes and needs within the medical device industry. The purpose of Clinical Evaluation of Medical Devices: Principles and Case Studies, Second Edition is to provide an updated and expanded presentation of the scientific methods and regulatory requirements applied to the study of new significant risk medical devices. The text now includes (1) new information on the requirements and process for gaining reimbursement of new products from Medicare and private insurers, with case studies of research specifically designed for this p- pose as well as health care technology assessment methods; (2) infor- tion on new statistical methodologies applied to medical device trials; and (3) all new case studies, including examples of combination pr- ucts, three-phase development models (i. e. , feasibility, FDA approval, Medicare reimbursement), and novel study designs.

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

East Asian medicine, biomedical research, and health care policy are framed by their own set of moral and cultural commitments. Chief among these is the influence of Confucian ideas. A rich portrayal is offered of the implications of Confucian moral and ontological understandings for medical decision-making, human embryonic stem cell research, and health care financing. What is offered is a multifaceted insight into what distinguishes East Asian bioethical reflections. This volume opens with an exploration of the Confucian recognition of the family as an entity existing in its own right and which is not reducible to its members or their interests. As the essays in this volume show, this recognition of the family supports a notion of family autonomy that contrasts with Western individualistic accounts of proper medical decision-making.

This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data. Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.

This handbook covers the broad scope of nanomedicine. Starting with the basics, the subject is developed to potential clinical applications, many of which are still at an experimental stage. The book features extensive coverage of nanodiagnostics and nanopharmaceuticals, which are two important components of nanomedicine. Written by a physician-scientist author who blends his clinical experience and scientific expertise in new technologies, this book provides a definitive account of nanomedicine. It offers more up-to-date and comprehensive coverage of nanomedicine than any other comparable work.

This book highlights the latest advances on the implementation and adaptation of blockchain technologies in real-world scientific, biomedical, and data applications. It presents rapid advancements in life sciences research and development by applying the unique capabilities inherent in distributed ledger technologies. The book unveils the current uses of blockchain in drug discovery, drug and device tracking, real-world data collection, and increased patient engagement used to unlock opportunities to advance life sciences research. This paradigm shift is explored from the perspectives of pharmaceutical professionals, biotechnology start-ups, regulatory agencies, ethical review boards, and blockchain developers. This book enlightens readers about the opportunities to empower and enable data in life sciences.

Over the last decade, interest in mycoplasmas has been greatly sti- lated by the spread of contagious bovine pleuropneumonia (CBPP), caused by Mycoplasma mycoides subsp. mycoides SC, in Europe and Africa and the discovery of a possible association between mycoplasmas and AIDS. During this period there has also been a recognition by control authorities and int- national organizations, including the Office International des Epizooties, that mycoplasmas are major causes of economic loss in livestock and continue to be a problem in humans as a result of a range of chronic respiratory and urogenital diseases. However, it is likely that the true significance of my- plasmas is still underestimated because of the difficulties in working with these extremely fastidious microorganisms. Advances in such laboratory technology as DNA amplification has enabled the detection of unrecoverable mycoplasmas in tissue samples and this will provide us with a better understanding of their role in disease. Important developments have also been seen in more conv- tional areas such as serological tests and media formulation enabling improved recovery and identification. Mycoplasma Protocols provides in a single volume up-to-date and easy-- follow methods for the detection, isolation, identification, and characterization of mycoplasmas, with a major emphasis on those of medical and veterinary significance. It also includes biochemical, genetic, and molecular techniques that will form the basis of understanding pathogenicity and, particularly, - hesion to host cells.

This dictionary contains thousands of definitions from various related disciplines and minimizes the need for several dictionaries. The book defines everything from AAMI (Association for the Advancement of Medical Instrumentation) to zymogen (proenzyme). The editor, an internationally recognized expert in the area of biomaterials, has combined knowledge from the fields of medicine, pharmacology, physiology, polymer chemistry, biochemistry, metallurgy, and organic chemistry.

Despite the social and economic importance of biomedical and health research, it is only fairly recently that the European Community became involved in research and technological development in this research sector. The general goal of the programme is clearly to contribute to a better quality of life by improving health, and its distinctive feature is to strengthen European collaboration in order to achieve this goal. The ultimate goal of the biomedical engineering part of the programme has been to contribute to the improvement of the quality of health care, as well as to the containment of its costs. Health technology assessment has gained further importance in view of the completion of the internal market within the EC. Such assessment may provide essential information for decision making at all levels (i.e. political, health services, medical).