Agile Implementation describes the underlying theories and frameworks that explain health delivery systems and lays out the 8 steps of the Agile Implementation Model founded by Malaz Boustani, MD, MPH and Jose Azar, MD. In today's complex healthcare environment, implementing evidence-based care into real-world practices is difficult and time consuming. Even methods that are known to be effective allow for limited flexibility and therefore fail as often as they succeed. Through much study and experimentation, Malaz Boustani, MD, MPH, Jose Azar, MD, and Craig A. Solid, PhD have come to understand how individuals' interactions within the complex social systems of hospitals, clinics, and other care delivery organizations shape the decisions and behaviors of those involved. Upon this foundation and through leveraging theories of behavioral economics, we have developed the Agile Implementation Model, a process for selecting, adapting, implementing, evaluating, sustaining, and scaling evidence-based healthcare interventions. This model acknowledges the uniqueness of each individual facility and considers individuals within the system to be semiautonomous but interconnected. In tandem with illustrative examples, Agile Implementation describes the underlying theories and frameworks that explain health delivery systems and lays out the 8 steps of the Agile Implementation Model. Upon completing Agile Implementation, readers have a better understanding of why certain quality initiatives succeed while others fail and have tangible, actionable tools for implementing effective and sustainable change in the healthcare setting.

Technological innovation is deeply woven into the fabric of American culture, and is no less a basic feature of American health care. Medical technology saves lives and relieves suffering, and is enormously popular with the public, profitable for doctors, and a source of great wealth for industry. Yet its costs are rising at a dangerously unsustainable rate. The control of technology costs poses a terrible ethical and policy dilemma. How can we deny people what they may need to live and flourish? Yet is it not also harmful to let rising costs strangle our health care system, eventually harming everyone? In Taming the Beloved Beast, esteemed medical ethicist Daniel Callahan confronts this dilemma head-on. He argues that we can't escape it by organizational changes alone. Nothing less than a fundamental transformation of our thinking about health care is needed to achieve lasting and economically sustainable reform. The technology bubble, he contends, is beginning to burst. Callahan weighs the ethical arguments for and against limiting the use of medical technologies, and he argues that reining in health care costs requires us to change entrenched values about progress and technological innovation. Taming the Beloved Beast shows that the cost crisis is as great as that of the uninsured. Only a government-regulated universal health care system can offer the hope of managing technology and making it affordable for all.

"Whole System Working" is an approach that enables people to find sustainable solutions to local problems. It is also a theoretical approach to organizational development that views groups of people who share a common purpose as a "living system". Based on King's Fund work over four years with health agencies and their local partners in housing, local government, the independent sector, transport, and local people, this book describes the founding principles which characterize the approach, gives examples of its application in practice, and answers common questions.

This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis). It focuses on statistical methods that have a clear interpretation in the framework of statistical physics, rather than ad hoc, black box methods based on neural networks or support vector machines. In addition, the emphasis is on methods that deal with biomolecular structure in atomic detail. The book is highly accessible, and only assumes background knowledge on protein structure, with a minimum of mathematical knowledge. Therefore, the book includes introductory chapters that contain a solid introduction to key topics such as Bayesian statistics and concepts in machine learning and statistical physics.

This volume focuses on understanding the impact of age-related decline in cognitive abilities on medical decisions and compliance with medical instructions. It examines how medical information and the medical environment can be restructured to accommodate the decreased cognitive function associated with aging. Although the issues discussed in this book are of critical importance in providing effective health care, they have been largely neglected in the national debate over provision of health care for the increasingly aging population. It is essential that we begin to understand how to present information so that informed choices are made and patients comprehend well enough that they can follow their treatment regimens and understand the importance of those regimens.
Divided into four major sections, this volume addresses the following issues:
* the implications of cognitive aging for medical information processing;
* aging and medical decision making;
* aging and medication adherence; and
* human factors design for medical devices and instructions.

Pervasive healthcare is an emerging discipline concerning the application of wireless, mobile, and intelligent technologies to certain healthcare issues. Such issues within healthcare systems include the increased incidence of lifestyle-related diseases and chronic illnesses, the need to educate individuals on the management of their own health, the rise of consumerism in healthcare, and also the need to provide direct access to healthcare services, irrespective of time and place. Pervasive and Smart Technologies for Healthcare: Ubiquitous Methodologies and Tools provides insight from members of prestigious universities and research institutes around the world into possible solutions for the aforementioned pressures within today's healthcare systems. Pervasive healthcare technologies are creating a new market for higher quality and less expensive healthcare applications, making this book ideal for ICT community members willing to design and develop advanced pervasive healthcare applications, and healthcare practitioners wanting to reorganize business processes within a healthcare system so that patients are diagnosed and treated more quickly and effectively.

In developing the electronic nose and biosensor devices, researchers not only copy biochemical pathways, but also use nature's approach to signal interpretation as a blueprint for man-made sensing systems. Commercial biosensors have demonstrated their benefits and practical applications, providing high sensitivity and selectivity, combined with a significant reduction in sample preparation assay time and the use of expensive reagents. The Handbook of Biosensors and Electronic Noses discusses design and optimization for the multitude of practical uses of these devices including:

As telehealth and occupational therapy service delivery in early intervention become more common, occupational therapy practitioners have the opportunity to apply their flexibility, adaptability, and unique skill set to serve young children, regardless of physical location. This text, the second in a series on telehealth by AOTA, acknowledges that telehealth is a critical part of delivering occupational therapy in early intervention. It equips practitioners to effectively bridge the digital divide, ensure equitable access to services, determine whether telehealth is an appropriate fit, and coach caregivers for the best possible outcomes. Case examples illustrate how to apply content in realistic scenarios. Practical and evidence based, practitioners can immediately integrate information into their occupational therapy practice to support families.

Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis. This edited volume contains practical case studies, and will appeal to students, researchers and professionals working in data management and analysis in the business, education, healthcare, and bioinformatics areas.

The rapidly evolving field of protein science has now come to realize the ubiquity and importance of protein-protein interactions. It had been known for some time that proteins may interact with each other to form functional complexes, but it was thought to be the property of only a handful of key proteins. However, with the advent of high throughput proteomics to monitor protein-protein interactions at an organism level, we can now safely state that protein-protein interactions are the norm and not the exception. Thus, protein function must be understood in the larger context of the various binding complexes that each protein may form with interacting partners at a given time in the life cycle of a cell. Proteins are now seen as forming sophisticated interaction networks subject to remarkable regulation. The study of these interaction networks and regulatory mechanism, which I would like to term "systems proteomics," is one of the thriving fields of proteomics.

The bird-eye view that systems proteomics offers should not however mask the fact that proteins are each characterized by a unique set of physical and chemical properties. In other words, no protein looks and behaves like another. This complicates enormously the design of high-throughput proteomics methods. Unlike genes, which, by and large, display similar physico-chemical behaviors and thus can be easily used in a high throughput mode, proteins are not easily amenable to the same treatment. It is thus important to remind researchers active in the proteomics field the fundamental basis of protein chemistry. This book attempts to bridge the two extreme ends of protein science: on one end, systems proteomics, whichdescribes, at a system level, the intricate connection network that proteins form in a cell, and on the other end, protein chemistry and biophysics, which describe the molecular properties of individual proteins and the structural and thermodynamic basis of their interactions within the network.

Bridging the two ends of the spectrum is bioinformatics and computational chemistry. Large data sets created by systems proteomics need to be mined for meaningful information, methods need to be designed and implemented to improve experimental designs, extract signal over noise, and reject artifacts, and predictive methods need to be worked out and put to the test. Computational chemistry faces similar challenges. The prediction of binding thermodynamics of protein-protein interaction is still in its infancy. Proteins are large objects, and simplifying assumptions and shortcuts still need to be applied to make simulations manageable, and this despite exponential progress in computer technology.

Finally, the study of proteins impacts directly on human health. It is an obvious statement to say that, for decades, enzymes, receptors, and key regulator proteins have been targeted for drug discovery. However, a recent and exciting development is the exploitation of our knowledge of protein-protein interaction for the design of new pharmaceuticals. This presents particular challenges because protein-protein interfaces are generally shallow and interactions are weak. However, progress is clearly being made and the book seeks to provide examples of successes in this area.

Healthcare is noted for using leading-edge technologies and embracing new scientific discoveries to enable better cures for diseases and better means to enable early detection of most life-threatening diseases. However, the healthcare industry globally, and in the US specifically, has been extremely slow to adopt technologies that focus on better practice management and administrative needs. Presently, healthcare is grappling with many challenges both nationally and globally, including escalating costs, a move to a preventative care environment, and a technologically savvy patient with high expectations. The Handbook of Research on Optimizing Healthcare Management Techniques is a pivotal reference source that provides an extensive and rich compilation of various ICT initiatives and examines the role that ICT plays and will play in the future of healthcare delivery. It represents ways in which healthcare delivery can be made superior and the healthcare industry can begin to address the major challenges it faces in the 21st century so that ultimately the most important person in the web of healthcare players, the patient, can be confident about receiving high-quality, cost-effective healthcare. While highlighting topics such as e-health, medical informatics, and patient value, this publication explores the role of supportive technologies as well as the methods of focused, patient-centric outcomes. This book is ideally designed for doctors, nurses, hospital administrators, medical staff, hospital directors, medical boards, IT consultants, health practitioners, academicians, researchers, and students.

e-Health Systems: Theory, Advances and Technical Applications offers a global vision of all the parties involved with e-health system deployment and its operation process, presenting the state of the art in major trends for improving healthcare quality and efficiency of healthcare management. The authors focus on ICT technologies and solutions for health management and healthcare applications, specifically emerging ICT to help reduce costs and improve healthcare quality, and healthcare trends in consumer empowerment and information-rich "Smart Care", with ubiquitous care access from anywhere, at any time, by any authorized person(s) when needed. Split into two parts, this book provides a comprehensive introduction to the concepts of e-health and delves into the processes carried out to store information, as well as the standards that are used; the authors explore applications and implementation of e-health systems, explaining in depth the types of wireless networks and security protocols employed to convert these systems into robust solutions avoiding any kind of data corruption and vulnerabilities.

Leading researchers have contributed state-of-the-art chapters to this overview of high-performance computing in biomedical research. The book includes over 30 pages of color illustrations. Some of the important topics featured in the book include the following:

Over the past decade, significant advances in the fields of stem cell biology, bioengineering, and animal models have converged on the discipline of regenerative medicine. Significant progress has been made leading from pre-clinical studies through phase 3 clinical trials for some therapies. This volume provides a state-of-the-art report on tissue engineering toward the goals of tissue and organ restoration and regeneration. Examples from different organ systems illustrate progress with growth factors to assist in tissue remodeling; the capacity of stem cells for restoring damaged tissues; novel synthetic biomaterials to facilitate cell therapy; transplantable tissue patches that preserve three-dimensional structure; synthetic organs generated in culture; aspects of the immune response to transplanted cells and materials; and, suitable animal models for non-human clinical trials. The chapters of this book are organized into six sections: Stem Cells, Biomaterials and the Extracellular Environment, Engineered Tissue, Synthetic Organs, Immune Response, and Animal Models. Each section is intended to build upon information presented in the previous chapters, and set the stage for subsequent sections. Throughout the chapters, the reader will observe a common theme of basic discovery informing clinical translation, and clinical studies in animals and humans guiding subsequent experiments at the bench.

"True wellness innovation requires the recruitment of multi-disciplinary participants. This book breaks the mold with examples from healthcare experts and other professionals who have leveraged informatics to better the lives of their constituents." - Jason Helgerson, Founder & CEO, Helgerson Solutions Group LLC Developed for those training in academic centers as well as for those already "out in the field," this book looks at how attorneys, behavioral health experts, business development experts, chief information officers, chief medical officers, chief nursing information officers, consumer advocates, cryptographic experts, futurists, geneticists, informaticists, managed care executives, nurses, pharmacists, physicians, public health professionals, software developers, systems security officers, and workforce experts are collaborating on a "team-based," IT-enabled approach to improve healthcare.

In Sight is a memoir about how a love of science and discovery drove Julia Levy, a celebrated scholar and biotech CEO, to work her way through gender bias in order to achieve academic and professional recognition. Her story traces the unconventional invention of a breakthrough drug treatment from its development from laboratory research to its application as a medical treatment for vision loss. Told from a female perspective, In Sight is a unique and personal story covering Levy's early years as a refugee, her university training in the UK, and her appointment as professor at the University of British Columbia. Years spent as an academic led the author to unexpected exposure to the biotechnology industry and a chance meeting with colleagues that led to the formation of a lucrative biotechnology company, known today as QLT Inc. The bulk of the book covers the years spent building the company, and Levy's surprising transition from chief scientific officer to CEO. In Sight is an honest description of the trials of drug development, the tensions inherent in the commercialization of health innovations, and the truly remarkable hurdles faced by women in the scientific community.

This special volume contributes to the rapidly growing body of eHealth research, presenting a selection of multidisciplinary studies on the role and impacts of technology and the Internet in health communication, healthcare delivery, and patient self-management. The use of the Internet and new communication technologies have impacted nearly every aspect of life in recent years. These technologies hold tremendous promise to improve systems of healthcare and enable people to better understand their health and manage their healthcare. However, there are also risks to the use of eHealth technologies. Empirical evidence is urgently needed to examine the use and impacts of eHealth technologies and to inform targeted health communication interventions. Chapters explore both old and new challenges associated with technology-enabled care. These include the persistence of social determinants in shaping Digital Divides in access and use of eHealth technologies, the unintended consequences associated with electronic medical records and pagers on healthcare professionals' ability to control their work time, and how self-tracking and quantification may exacerbate gendered norms of the body and health. Other chapters provide updated information on trends in and predictors of people's trust of health information channels, how people make credibility assessments of online health information, the role of personality traits in perceived benefits in online support group participation, and how online health resources impact people's sense of empowerment and the use of healthcare services. Finally, chapters explore the future potential of eHealth in addressing the needs of underserved communities and guide the creation of new technology-enabled intervention strategies.

"Software Tools and Algorithms for Biological Systems" is composed of a collection of papers received in response to an announcement that was widely distributed to academicians and practitioners in the broad area of computational biology and software tools. Also, selected authors of accepted papers of BIOCOMP'09 proceedings (International Conference on Bioinformatics and Computational Biology: July 13-16, 2009; Las Vegas, Nevada, USA) were invited to submit the extended versions of their papers for evaluation.

Biomaterials are composed of metallic materials, ceramics, polymers, composites and hybrid materials. Biomaterials used in human beings require safety regulations, toxicity, allergic reaction, etc. When used as implantable materials their biological compatibility, biomechanical compatibility, and morphological compatibility must be acessed. This book explores the design and requirements of biomaterials for the use in implantology.

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.

This book provides the reader with empirical findings on innovative signal processing approaches to detecting pathologies in infant cries, by comparing new technological approaches to standard ones. The contributors examine novel approaches to machine adaptation to dysarthric speech.