Financial identity theft is well understood with clear underlying motives. Medical identity theft is new and presents a growing problem. The solutions to both problems however, are less clear.

The Economics of Financial and Medical Identity Theft discusses how the digital networked environment is critically different from the world of paper, eyeballs and pens. Many of the effective identity protections are embedded behind the eyeballs, where the presumably passive observer is actually a fairly keen student of human behavior. The emergence of medical identity theft and the implications of medical data privacy are described in the second section of this book.

The Economics of Financial and Medical Identity Theft also presents an overview of the current technology for identity management. The book closes with a series of vignettes in the last chapter, looking at the risks we may see in the future and how these risks can be mitigated or avoided.

As managed care continues to increase in the United States, hospital and system executives consider mergers and acquisitions more frequently for both aggressive and defensive reasons. Predicting Successful Hospital Mergers and Acquisitions can help you learn to analyze data to determine which hospitals are potential candidates for merger and which are risky business ventures. You will learn to take into account not only the marketing and financial elements of mergers and acquisitions, but also the operational factors crucial for success. You will also acquire a set of guidelines and financial analytical approaches that prepare you for forecasting the results of proposed mergers or acquisitions between acute units. Because few new markets are available for hospitals and competition is increasing, performing mergers and acquisitions may be the only route available for organizations wishing to grow. Predicting Successful Hospital Mergers and Acquisitions teaches hospital, system, and other health service industry executives how to keep abreast of their market positions to remain competitive and efficient in the current, intense managed care environment.As you read Predicting Successful Hospital Mergers and Acquisitions, you learn to identify significant financial variables in the market that will differentiate between merger candidates and non-targeted hospitals. The book's coverage of the following topics is important to your understanding of the health care market and the options available: market penetration product development market development diversification significant variables one year prior to merger use of accounting numbers to predict takeovers managed care staffing issues Predicting Successful Hospital Mergers and Acquisitions gives you a practical, proven model for predicting the outcome of merger and acquisition maneuvers. This model is developed from accurate, consistent, and complete data from California, a trendsetting market in health care delivery, during the years 1984 to 1992. It can be applied not only to hospital mergers and acquisitions, but also to skilled nursing facilities, psychiatric care centers, and rehabilitation facilities seeking growth.Educators and program directors in health care administration programs and executives and boards of imaging centers, surgi-centers, and home health agencies can also employ this model to stimulate growth and expansion.

This volume provides the important concepts necessary for a physician to participate in a reengineering process, develop decision-making skills based on probability and logic rather than "rules," and to measure and analyze meaningful outcomes of care delivery. This approach has been developed over ten years in a medical student-based program and has been enthusiastically embraced by medical students without backgrounds in engineering or statistics. More specifically, this text will introduce physicians to relevant and available computer software, combined with an in depth knowledge of measurement, variation, and uncertainty. It provides a basis for the transformation of data into information, information into knowledge, and knowledge into wisdom. The first quarter of the book will address understanding and visualizing data, using statistical and graphic analysis. The next quarter addresses the fundamentals of applied statistics, and the application of conditional probability to clinical decision making. The next quarter addresses the four "cornerstones" of modern analytics: regression, classification, association analysis, and clustering. The final section addresses the identification of outliers and their importance in understanding, the assessment of cause and effect and the limitations associated with retrospective data analysis. This toolbox will prepare the interested physician to actively engage in the identification of problem areas, the design of process-based solutions, and the continuous assessment of outcomes of clinical practice. Armed with this toolbox, the reader will be "prepared to make a difference" in the rapidly changing world of healthcare delivery. Measurement and Analysis in Transforming Healthcare Delivery is an excellent resource for general practitioners, health administrators, and all medical professionals interacting with healthcare delivery.

This text addresses the key issue of informal payments, or 'red packets', in the Chinese Healthcare system. It considers how transactions take place at the clinical level as well as their regulation. Analysing the practice from the perspectives of institutions and power structure, it examines how institutional changes in the pre-reform and reform era have changed the power structure between medical professions, patients and the Party-state, and how these changes have given rise and perpetuate the practice. Drawing from qualitative data from interviews of medical professionals, the author recognises the medical profession as a major player in the health care system and presents their perception of the practice as the taker of 'red packets' and their interactions with the patient and the state surrounding the illegal practice in an authoritarian power structure. The books considers the institutional reasons that motivate doctors to take, patients to give, and the government to "tolerate" red packets, arguing that the bureaucratization of the medical profession, society of acquaintances and shortage of quality of medical services jointly create an institutional setting that has given rise to these informal payments. Contributing to a rounded understanding of the problems of healthcare reform in China, this book is a key read for all scholars interested in the issue of informal payments and healthcare politics in transition economies.

"Medical Statistics "provides the necessary statistical tools to enable researchers to undertake and understand evidence-based clinical research.

It is a practical guide to conducting statistical research and interpreting statistics in the context of how the participants were recruited, how the study was designed, what types of variables were used, what effect size was found, and what the "P" values mean. It guides researchers through the process of selecting the correct statistics and show how to best report results for presentation and publication.

Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors' popular medical statistics courses.

The table of contents is divided into sections according to whether data are continuous or categorical in nature as this distinction is fundamental to selecting the correct statistics. Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs. The chapters conclude with critical appraisal guidelines to help researchers review the reporting of results from each type of statistical test.

This new edition includes a new chapter on repeated measures and mixed models and a helpful glossary of terms provides an easy reference that applies to all chapters.

Many aspects of modern life have become personalized, yet healthcare practices have been lagging behind in this trend. It is now becoming more common to use big data analysis to improve current healthcare and medicinal systems, and offer better health services to all citizens. Applying Big Data Analytics in Bioinformatics and Medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Featuring coverage on relevant topics that include smart data, proteomics, medical data storage, and drug design, this publication is an ideal resource for medical professionals, healthcare practitioners, academicians, and researchers interested in the latest trends and techniques in personalized medicine.

-a short handbook designed for practical use by business owners to ensure they act in a professional, ethical and informed way around cybersecurity -first resource of its kind for coaches and therapists

The book presents the latest advances, innovations, and applications in the field of innovative medicine facilities, as presented by architects and engineers at the International Scientific and Practical Conference Engineering, Construction and Infrastructure Solutions for Innovative Medicine Facilities, held in St. Petersburg, Russia, on May 19-21, 2021. It covers a wide diversity of topics, including the global challenges of our time and the challenges of developing the infrastructure of innovative medicine; current issues of engineering and construction of medical facilities during the pandemic; current issues of engineering and construction of biomedical research infrastructure; formation and development of a comfortable environment for the protection of public health; biological and environmental safety in the engineering, construction and technical operation of biomedical facilities. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.

This Handbook expertly instructs the reader on how to conduct applied health research across a number of disciplines. Particularly aimed at postgraduate health researchers and students of applied health research, it presents and explains a wide range of research designs and other contemporary issues in applied health research. Focusing on learning outcomes, it takes the reader from underpinning epistemological, ontological and methodological considerations through to the key features of highlighted research designs and how to apply these in practice. In so doing, the experienced group of authors guides the reader in the choice of design for their own studies. They both examine the underpinning paradigmatic questions that guide important design choices and also explore the practical considerations that have to be taken into account when conducting research in this field. This book covers a range of designs from different traditions and also points readers to the key literatures in their areas of interest. Master's students across a range of disciplines will find this book invaluable and it will also be an essential reference tool for PhD students and new researchers in applied health research. Contributors include: F. Ahmed, H. Aveyard, S. Baines, A. Bingley, S. Brearley, G. Chatzidamianos, M. Collins, A. Dodd, M. Edwards, N. Fisher, I. Fletcher, T. Gatrell, A. Grinyer, E. Halliday, C. Murray, R.J. Parker, G. Perez Algorta, N. Preston, S. Reilly, J. Simpson, C. Thomas, S. Varey, C. Walshe, D. Wilde

Patient safety and quality improvement in health care remain a global priority. Subpar performance in health care, however, is still common more than a decade after the christening of patient safety in Africa. The core principle of safety and quality improvement systems is to identify and assess the root cause of failures in order to learn from them and devise a means to improve and to avoid recurrence. This book is designed to encourage, facilitate and empower healthcare workers in the development and implementation of strategically driven patient safety and quality improvement initiatives for safer healthcare systems and healthcare facilities in low- and middle-income countries (LMICs) of Africa. It also highlights some of the profound challenges and barriers to designing and implementing patient safety and quality improvement interventions or programmes in the region and reiterates the need to remain focused and determined to work out solutions with confidence and overcome these barriers. In the book, chapters highlight six essential components crucial for achieving evolutionary progress in safety and quality improvement in a healthcare system: Standard operating procedure Audit Research Safety management Quality management Evaluation Practical steps in planning and conducting these six essential components are outlined with some specific features to aid learning and facilitate their implementation. The authors have experience and expertise in the medical practice gained in Africa and a decade of knowledge and experience from consultancy work in safety and quality improvement in health care within and outside the region. Essentials for Quality and Safety Improvement in Health Care: A Resource for Developing Countries is authored for both medical professionals and those from other professions who are interested in and enthusiastic about patient safety and healthcare quality and therefore willing to build a career in this field. It is relevant to all health institutions, health and non-health workers, and can be used as a checklist while rendering quality and safe health care.

This book investigates the impact of patient-centered care (PCC) for older adults with chronic conditions and presents new evidence concerning its effects on the care process and health outcomes. The book highlights the impact of PCC on elderly chronic disease patients' health experiences and demonstrates that PCC is associated with better performance in delivering care to this group of patients. The PCC approach also provides opportunities for improving the delivery of cancer care, although patient-centered oncology care is still in its infancy and evidence on its effectiveness is scant. The book also includes a systemic review and meta-analysis of connections between PCC and cancer patients' adverse healthcare utilization, costs, patient satisfaction, and quality of care. This book is unique in terms of the measures' comprehensiveness and provides ample evidence that the implementation of PCC is associated with better healthcare performance. The intended readers include researchers in related fields, graduate students, and healthcare providers. It is hoped the book offers further evidence for meaningful practice and have many policy and research implications in PCC.

While the use of database technology is ubiquitous throughout IT (and health IT in particular), it is not generally appreciated that, as a database increases in scope, certain designs are far superior to others. In biomedical domains, new knowledge is being generated continually, and the databases that must support areas such as clinical care and research must also be able to evolve while requiring minimal or no logical / physical redesign. Appropriately designed metadata, and software designed to utilize it effectively, can provide significant insulation against change. Many of the larger EMR or clinical research database vendors have realized this, but their designs are proprietary and not described in the literature. Consequently, numerous misconceptions abound among individuals who have not had to work with large-scale biomedical systems, and graduates of a health or bioinformatics program may find that they need to unlearn what they were taught in database and software design classes in order to work productively with such systems. A working knowledge of such systems is also important for individuals who are not primarily software developers, such as health informaticians, medical information officers and data analysts. This book is, in a sense, intended to prepare all of the above individuals for the real world.

Leadership and Collaboration provides international examples of how leadership of interprofessional education and practice has developed in various countries and examines how interprofessional education and collaborative practice can make a difference to the care of the patient, client and community.

This case studies book is an indispensable resource for educators, students, and practitioners of nursing. It is innovative in its application of lessons from the communication sciences to common challenges in the delivery of safe patient care. The authors apply basic tenets of human communication to the context of nursing to provide a foundation for practices that can advance the safety and quality of care. The cases, which describe "close calls" and adverse events, are organized along the continuum of healthcare delivery, providing quick access to solutions in commonly encountered care situations. Each case is accompanied by a discussion of how skillful communication can be key to preventing and recovering from errors and adverse events. Thought-provoking discussion questions and references for further reading make this book a valuable reference for nursing educators, students, and practitioners across the world.

This book brings together all the major components of the private health care sector in India, with detailed description of its evolution, the foundational ideas, its development, the positives and ill effects on the population. It suggests intelligible and practical remedies for public good. The book presents a comprehensive review of private health care sector's resistance to Indian Government's reforms like the national medical commission, NEET, clinical establishment act and the new boost to the traditional medicine by the Indian government. The author has discussed contentious areas like Corporate Hospitals, Capitation Fee Colleges, Pharmaceutical Industry, Western Models in Health Care, Integration of Medical Systems, Ayushman Bharat Scheme, Health Insurance and Public Private Partnership on a massive scale.

This book provides a complete practical guide of processing data in public health with R language. On the basis of the author’s research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. Popular and novel R packages in public health are introduced as well.

The book shows readers exactly how to use Lean tools to design healthcare work that is smooth, efficient, error free and focused on patients and patient outcomes. It includes in-depth discussions of every important Lean tool, including value stream maps, takt time, spaghetti diagrams, workcell design, 5S, SMED, A3, Kanban, Kaizen and many more, all presented in the context of healthcare. For example, the book explains the importance of quick operating room or exam room changeovers and shows the reader specific methods for drastically reducing changeover time. Readers will learn to create healthcare value streams where workflows are based on the pull of customer/patient demand. The book also presents a variety of ways to continue improving after initial Lean successes. Methods for finding the root causes of problems and implementing effective solutions are described and demonstrated. The approach taught here is based on the Toyota Production System, which has been adopted worldwide by healthcare organizations for use in clinical, non-clinical and administrative areas.

Patient safety is now a very strong focus of pharmacy degrees. Competency-based evaluations of pharmacy students using simulated assessments including Objective Structured Clinical Examinations (OSCEs) and Criterion Referenced Assessments (CRAs) are increasingly commonplace. These are designed to simulate aspects of real-life pharmacy practice in order to train students to integrate their knowledge of medicinal chemistry, pharmaceutics, therapeutics, legislation, clinical skills, numeracy, communication and empathy, and to test a student's ability to provide safe and effective patient care. This book provides a unique resource to support students and trainers in developing and practising these essential skills. It is designed as a useful resource for undergraduate students, clinical tutors and those involved in teaching students on pharmacy degree courses. Format OSCE outline Format (written/interactive) Level of difficulty Time limit Props supplied (e.g. BNF) Competencies tested Station task Model Answers and sample marking schemes Tips Short chapter introductions about how to tackle the type of problems encountered in the chapter. Station examples to test your ability to integrate knowledge and skills. Stations written in detail so that you can practise and then check or score performance against model answers. Examples of competency-based assessments designed to assess the level of integration between science and practice.

Forecasting new and emerging risks associated with new technologies is a hard and provocative challenge. A wide range of new and modified materials are being made available, and many of these have unknown consequences including nanomaterials, composites, biomaterials, and biocybernetics. Additionally, the greater complexity of man-machine processes and interfaces, the introduction of collaborative robots, and the excessive dependence on computers, as in the case of unmanned vehicles in transportation, could trigger new risks. Forecasting and Managing Risk in the Health and Safety Sectors is an essential reference source that combines theoretical underpinnings with practical relevance in order to introduce training activities to manage uncertainty and risks consequent to emerging technologies. Featuring research on topics such as energy policy, green management, and intelligence cycle, this book is ideally designed for government officials, managers, policymakers, researchers, lecturers, advanced students, and professionals.