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.

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.

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.

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

During this era of continuous improvement, healthcare organizations need to be staffed by engaged, motivated, and hard-working frontline employees. As these clinical and non-clinical personnel handle most of the important tasks in any organization and are often the people who directly interact with patients and customers, it's the job of managers to oversee and motivate their staff members. Using Lean management strategies, this easy-to-read book for leaders and managers provides useful, insightful, and innovative information to help managers engage, motivate, and retain their employees during any Lean or other continuous improvement initiative.

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.

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.

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.

Accreditation in the Health Sciences: A Definitive Guide for Libraries explores the role of the library in any health sciences organization's accreditation efforts. This book has been specifically written to address the unique needs of health sciences libraries in supporting an institution's accreditation efforts. The enterprising library professional can treat this title as a manual on how to proactively address the challenges that come with any health sciences related accreditation site visits. The lessons in these chapters will create and build upon valuable opportunities for partnered success between the library and the institution it supports. Library professionals will want to have this guide handy if they need to convey any data to an accrediting agency on behalf of their institution. This book will cover all elements of health sciences libraries and has been written in a way to highlight theories and best practices, rather than specific steps to follow that will easily be outdated with any accrediting body update. In a time when librarians are asked to do more with less, this is especially targeted towards the solo, small team, and/or start up library team to simply and optimize the accreditation experience. Special chapters discuss strategy to advance the library's story will serve as a way to illustrate value and advocate for a well-resourced library. Finally, this book also can serve as an informational tool to accrediting teams themselves to better understand the myriad ways that library services are meaningfully integrated into the institutions they support. Whether working directly in the library or adjacent to it, Accreditation in the Health Sciences will be an asset for a team invested in accreditation success.

This comprehensive medical textbook is a compendium of the latest information on healthcare quality. The text provides knowledge about the theory and practical applications for each of the core areas that comprise the field of medical quality management as well as insight and essential briefings on the impact of new healthcare technologies and innovations on medical quality and improvement. The third edition provides significant new content related to medical quality management and quality improvement, a user-friendly format, case studies, and updated learning objectives. This textbook also serves as source material for the American Board of Medical Quality in the development of its core curriculum and certification examinations. Each chapter is designed for a review of the essential background, precepts, and exemplary practices within the topical area: Basics of Quality Improvement Data Analytics for the Improvement of Healthcare Quality Utilization Management, Case Management, and Care Coordination Economics and Finance in Medical Quality Management External Quality Improvement - Accreditation, Certification, and Education The Interface Between Quality Improvement and Law Ethics and Quality Improvement With the new edition of Medical Quality Management: Theory and Practice, the American College of Medical Quality presents the experience and expertise of its contributors to provide the background necessary for healthcare professionals to assume the responsibilities of medical quality management in healthcare institutions, provide physicians in all medical specialties with a core body of knowledge related to medical quality management, and serve as a necessary guide for healthcare administrators and executives, academics, directors, medical and nursing students and residents, and physicians and other health practitioners.

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.

-First edition by McGraw-Hill, 1998. -Textbook for courses on health administration and planning -Author is fairly well-known in the field.

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.

This groundbreaking book reflects the accomplishments of an internationally recognized leader of innovation, which utilized simulation and interprofessional clinical learning. Based on the North Shore-Long Island Jewish Health System corporate university experience, this book describes how simulation was used to successfully tackle the major interprofessional health issue of our time: Patient Safety. The health system created a simulation center for nurses, doctors, and related health professionals whose work in clinical teams has resulted in measurable improvements in all aspects of clinical decision-making, critical thinking, teamwork, and communication skills.

The book presents a clear, pedagogical model for use in all simulation centers and laboratories. It addresses theoretical and practical dimensions, including the business case for change, educational strategies, program blueprints, and curriculum and assessment tools in print and digital formats. Woven throughout are exemplary clinical simulations for SimMan and standardized patients. The book is an affirmation that financial and intellectual capital can by designed, through simulation, to systematically improve patient safety in a large health care system, while being cost-effective. It will be of value to health care leaders in nursing, medicine, and related professionals in practice, education, and business.

Key Features: Describes in detail a groundbreaking system of achieving patient safety through use of simulation in an interprofessional clinical learning environment Fulfills core competencies for interprofessional collaborative practice for the Health Resources and Services Administration Presents simulations scalable to any size organization Includes theoretical foundations and practical applications for teaching and learning

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.

This book offers a comprehensive overview of performing return-on-investment (ROI) analyses for healthcare quality improvement (QI). In the United States, healthcare policy regarding physician and facility payment/reimbursement is steadily trending towards the use of "value-based" systems and away from the traditional "fee-for-service" (FFS) payment mechanisms. Healthcare professionals and organizations who have previously focused on quality metrics are now finding themselves burdened with having to define and assess value metrics, without much guidance or assistance. This volume aims to be a guide and a reference for healthcare professionals tasked with estimating and establishing ROI for QI. Chapters describe the general framework for how to perform QI; establish standard definitions of important terms, concepts, and calculations; and provide specific instructions for how to complete each step of an ROI analysis. These include: selecting a QI initiative and identifying the associated metrics, establishing measurable, monetizable, and attributable costs and benefits, determining the appropriate scope and perspective, calculating ROI and related metrics (payback period, benefit-to-cost ratio, etc.), comparing with established benchmarks or previously published results, and interpreting the results for the intended audience. In addition, chapters offer examples of real studies (or hypothetical studies of real situations), as well as templates for several of the necessary activities that readers can leverage for their own use. Return on Investment for Healthcare Quality Improvement is a must-have resource for healthcare providers, administrators, and other professionals who work in healthcare organizations, hospitals and other healthcare settings, health systems, and residency programs seeking to obtain outside funding, as well as policy makers and administrators of federal programs.

This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book's closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.

This concise guide covers the important angles of your grant application, whether for a health research project or personal training programme, and will help you be among the successful applicants.

The author, a reviewer for grant funding organisations and internationally respected research scientist, gives you the benefit of his experience from both sides of the process in this easy-to-use, readable guide. The book takes you through the grant application process, explaining how to: Present the justification for the proposed projectDescribe the study design clearlyEstimate the financial costsUnderstand a typical review process, and how this can influence the contents of the grant application

The author provides practical advice on a range of project types (observational studies, clinical trials, laboratory experiments, and systematic reviews) to increase the chance that your application will be successful. There are also tips on what to avoid throughout the application.

With generic information about application requirements, "How to Write a Grant Application" is ideal for healthcare professionals seeking a health services or scientific grant.

These days, the idea of "value" is at the center of many activities and decisions in health care in the United States. While there exist books that detail the technical steps for how to carry out a specific type of value assessment, such as cost-effectiveness or return on investment, there are few that attempt to teach healthcare professionals how to think about value. This book provides a deeper understanding of value as a concept as well as an endeavor (as in, to determine or uncover the value of care) within the healthcare industry by illustrating the different components of value that should guide decision-making processes for policy, infrastructure, and quality improvement. Through an exploration of theories of economics and implementation science, as well as practical suggestions for real-world applications, this text provides a foundation for the long and complicated "value" journey the US has bet its entire healthcare system on. In the US, policy to promote what is referred to as "value-based care" is here to stay. As we move forward within this construct, we need to move beyond the over-simplified definition of value as "quality per dollar spent" to a more functional framework for how to think about value that can adapt to different circumstances and points of view. Only then will it be possible to compare value across settings, conditions, and activities. The book consists of 9 chapters organized in four sections: Part I: Understanding the Challenges of Assessing the Value of Health Care Part II: A Primer on Fundamental Concepts and Current Techniques Used to Measure Value in Health Care Part III: A Discussion of the Real-world Motivations and Requirements that Should be Contemplated when Exploring Value Part IV: How to Design and Perform a Value Assessment Practical Strategies to Assess Value in Health Care is an essential resource for healthcare professionals at all levels and points of care who are interested in understanding how best to assess and interpret value for a particular situation including providers, administrators, payers, insurers, health plans, and policy-makers.

Operations research tools are ideally suited to providing solutions and insights for the many problems health policy-maker's face. Indeed, a growing body of literature on health policy analysis, based on operations research methods, has emerged to address the problems mentioned above and several others. The research in this field is often multi-disciplinary, being conducted by teams that include not only operations researchers but also clinicians, economists and policy analysts. The research is also often very applied, focusing on a specific question driven by a decision-maker and many times yielding a tool to assist in future decisions. The goal of this volume was to bring together a group of papers by leading experts that could showcase the current state of the field of operations research applied to health-care policy. There are 18 chapters that illustrate the breadth of this field. The chapters use a variety of techniques, including classical operations research tools, such as optimization, queuing theory, and discrete event simulation, as well as statistics, epidemic models and decision-analytic models. The book spans the field and includes work that ranges from highly conceptual to highly applied. An example of the former is the chapter by Kimmel and Schackman on building policy models, and an example of the latter is the chapter by Coyle and colleagues on developing a Markov model for use by an organization in Ontario that makes recommendations about the funding of new drugs. The book also includes a mix of review chapters, such as the chapter by Hutton on public health response to influenza outbreaks, and original research, such as the paper by Blake and colleagues analyzing a decision by Canadian Blood Services to consolidate services. This volume could provide an excellent introduction to the field of operations research applied to health-care policy, and it could also serve as an introduction to new areas for researchers already familiar with the topic. The book is divided into six sections. The first section contains two chapters that describe several different applications of operations research in health policy and provide an excellent overview of the field. Sections 2 to 4 present policy models in three focused areas. Section 5 contains two chapters on conceptualizing and building policy models. The book concludes in Section 6 with two chapters describing work that was done with policy-makers and presenting insights gained from working directly with policy-makers.