Health Systems Science Review E-Book PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Health Systems Science Review E-Book PDF full book. Access full book title Health Systems Science Review E-Book by Jesse M. Ehrenfeld. Download full books in PDF and EPUB format.
Author: Jesse M. Ehrenfeld
Publisher: Elsevier Health Sciences
ISBN: 0323653715
Category : Medical
Languages : en
Pages : 130
Get Book Here
Book Description
As part of the American Medical Association (AMA)'s Accelerating Change in Medical Education Consortium's work, Health Systems Science (HSS) is establishing itself as the third major branch of a balanced medical education, alongside basic and clinical sciences. Health Systems Science Review is a first-of-its-kind review book designed to prepare future physicians and other health care professionals to function effectively within health systems by better understanding how health care is delivered, how health care professionals work together to deliver that care, and how the health system can improve patient care and health care delivery. This study tool provides case-based questions followed by discussions of answers and suggested readings—making it a valuable review resource for medical students and instructors, as well as medical residents; nursing, allied health, and public health students; and hospital administrators. - Meets a growing need for an effective, targeted review tool on HSS, a topic increasingly covered on the USMLE and other exams. - Contains 250+ case-based, multiple-choice questions, with extensive discussion of correct and incorrect answers. - Offers an up-to-date, effective review to support and assess competence in HSS, covering health care delivery and processes, health care policy and economics, clinical informatics and technology, social determinants of health, patient safety, teamwork and collaboration, systems thinking and complexity science, and much more. - Provides highly relevant content applicable to today's evolving health care delivery written by experts in emerging areas of HSS. - Serves as an excellent study companion for the ground-breaking book, Health Systems Science, by Susan E. Skochelak, MD, MPH, et al., also developed by the AMA's Accelerating Change in Medical Education Consortium, which is at the forefront of change and innovation in medical education.
Author: Jesse M. Ehrenfeld
Publisher: Elsevier Health Sciences
ISBN: 0323653715
Category : Medical
Languages : en
Pages : 130
Get Book Here
Book Description
As part of the American Medical Association (AMA)'s Accelerating Change in Medical Education Consortium's work, Health Systems Science (HSS) is establishing itself as the third major branch of a balanced medical education, alongside basic and clinical sciences. Health Systems Science Review is a first-of-its-kind review book designed to prepare future physicians and other health care professionals to function effectively within health systems by better understanding how health care is delivered, how health care professionals work together to deliver that care, and how the health system can improve patient care and health care delivery. This study tool provides case-based questions followed by discussions of answers and suggested readings—making it a valuable review resource for medical students and instructors, as well as medical residents; nursing, allied health, and public health students; and hospital administrators. - Meets a growing need for an effective, targeted review tool on HSS, a topic increasingly covered on the USMLE and other exams. - Contains 250+ case-based, multiple-choice questions, with extensive discussion of correct and incorrect answers. - Offers an up-to-date, effective review to support and assess competence in HSS, covering health care delivery and processes, health care policy and economics, clinical informatics and technology, social determinants of health, patient safety, teamwork and collaboration, systems thinking and complexity science, and much more. - Provides highly relevant content applicable to today's evolving health care delivery written by experts in emerging areas of HSS. - Serves as an excellent study companion for the ground-breaking book, Health Systems Science, by Susan E. Skochelak, MD, MPH, et al., also developed by the AMA's Accelerating Change in Medical Education Consortium, which is at the forefront of change and innovation in medical education.
Author: Susan E. Skochelak
Publisher: Elsevier Health Sciences
ISBN: 0323694675
Category : Medical
Languages : en
Pages : 354
Get Book Here
Book Description
The first textbook devoted to this emerging area, Health Systems Science now brings you fully up to date with today's key issues and solutions. This increasingly important branch of health care explores how health care is delivered, how health care professionals work together to deliver that care, and how the health system can improve patient care and health care delivery. Along with basic and clinical sciences, health systems science is rapidly becoming a crucial 'third pillar' of medical science, with an emphasis on understanding the role of human factors, systems engineering, leadership, and patient improvement strategies that will help transform the future of health care and ensure greater patient safety. In this 2nd Edition, new chapters, new exercises, and new information help you acquire the knowledge and skills you need for success in today's challenging healthcare system. - The first comprehensive text for mastering health systems science, offering practical coverage of all of the factors in the lives of patients that influence their well-being, the structures and processes of the health system itself, societal factors, communication, and information technology. - NEW to this edition: New content on systems thinking, ethics and legal issues, and international care models further define and address this new important component of health care education; additional exercises; and expanded information on the patient experience and private practice. - Complete coverage of patient safety, quality improvement, value in health care, teamwork, stewardship of health care resources, population health, clinical informatics, care coordination, leadership, and health care financing/reform. - Patient improvement strategies incorporate checklists, information technology, team training, and more. - A consistent chapter template provides clear coverage of each topic, including Learning Objectives, Chapter Outline, Core Chapter Content, Summary, Questions for Reflection, and Annotated Bibliography and References. - Developed by the American Medical Association's Accelerating Change in Medical Education Consortium, and authored by a team that includes AMA staff members working with individuals from the Consortium member schools.
Author: Rosalyn Maben-Feaster
Publisher: Elsevier Health Sciences
ISBN: 044311143X
Category : Medical
Languages : en
Pages : 140
Get Book Here
Book Description
Now taught in a majority of medical schools nationwide, health systems science (HSS) prepares learners for the health systems of the future—an essential topic in modern health care. Health Systems Science Education, part of the American Medical Association's MedEd Innovation Series, is a first-of-its-kind, instructor-focused field book that that equips educators to not just teach health systems science, but to know how to integrate and implement HSS comprehensively and effectively across the curriculum. This change management-oriented volume . . . - Provides practical approaches and addresses common challenges to successfully implementing health systems science. - Considers both clinical and classroom settings and discusses best practices, successful cases, and common frameworks implemented by early adopters of the third pillar of medical education. - Contains clear lists of competencies. - Covers both medical school (UME) and residency program (GME) implementation strategies. - Offers a framework for creating an environment of continuous improvement—from pre-implementation to sustainability. One of the American Medical Association's Change MedEd initiatives and innovations, written and edited by members of the Accelerating Change in Medical Education Consortium – a unique, innovative collaborative that allows for the sharing and dissemination of groundbreaking ideas and projects.
Author: Ursula H. Hübner
Publisher: Springer Nature
ISBN: 303091237X
Category : Medical
Languages : en
Pages : 850
Get Book Here
Book Description
This new edition of the classic textbook on health informatics provides readers in healthcare practice and educational settings with an unparalleled depth of information on using informatics methods and tools. However, this new text speaks to nurses and — in a departure from earlier editions of this title — to all health professionals in direct patient care, regardless of their specialty, extending its usefulness as a textbook. This includes physicians, therapists, pharmacists, dieticians and many others. In recognition of the evolving digital environments in all healthcare settings and of interprofessional teams, the book is designed for a wide spectrum of healthcare professions including quality officers, health information managers, administrators and executives, as well as health information technology professionals such as engineers and computer scientists in health care. The book is of special interest to those who bridge the technical and caring domain, particularly nurse and medical informaticians and other informaticians working in the health sciences. Nursing Informatics: An Interprofessional and Global Perspective contains real-life case studies and other didactic features to illustrate the theories and principles discussed, making it an ideal resource for use within health and nursing informatics curricula at both undergraduate and graduate level, as well as for workforce development. It honors the format established by the previous editions by including a content array and questions to guide the reader. Readers are invited to look out of the box through a dedicated global perspective covering health informatics applications in different regions, countries and continents.
Author: Hari Singh
Publisher: CRC Press
ISBN: 1000618838
Category : Computers
Languages : en
Pages : 225
Get Book Here
Book Description
Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable. Key Features: The book offers comprehensive coverage of the most essential topics, including: Big Data Analytics, Applications & Challenges in Healthcare Descriptive, Predictive and Prescriptive Analytics in Healthcare Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.
Author: Yu-Dong Zhang
Publisher: Academic Press
ISBN: 0323860095
Category : Computers
Languages : en
Pages : 398
Get Book Here
Book Description
Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time. - Presents cognitive signal processing methodologies that are related to challenging image processing application domains - Provides the state-of-the-art in cognitive signal processing approaches in the area of big-data image processing - Focuses on other technical aspects and alternatives to traditional tools, algorithms and methodologies - Discusses various real-time case studies and implemented works
Author: Douglas A. Luke
Publisher: SAGE Publications
ISBN: 1544310315
Category : Mathematics
Languages : en
Pages : 129
Get Book Here
Book Description
Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and evaluating a two-level model; discusses the major extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques. Rich with examples, the Second Edition expands coverage of longitudinal methods, diagnostic procedures, models of counts (Poisson), power analysis, cross-classified models, and adds a new section added on presenting modeling results. A website for the book includes the data and the statistical code (both R and Stata) used for all of the presented analyses.
Author: Margaret B. Harrison
Publisher: John Wiley & Sons
ISBN: 111912333X
Category : Medical
Languages : en
Pages : 369
Get Book Here
Book Description
Knowledge Translation in Nursing and Healthcare provides authoritative guidance on the implementation of evidence-informed practice, covering issue identification and clarification, solution building and implementation, evaluation, and sustainment. Integrating theory, empirical research, and experiential knowledge, this hands-on resource assists nurses and healthcare practitioners in collecting quality evidence, transforming it into a useable, customized recommendation, and then applying best practice in various point-of-care settings. Written by highly experienced implementation researchers working with practitioners, the book demonstrates how the synthesis and translation of evidence supports improvement of existing care and service delivery models, and produces increased benefit for both patients and health services. Examples drawn from the authors' first-hand experience—such as pressure injury prevention in acute care, transition of care for people with heart failure, and community leg ulcer care—illustrate the use of best practice in addressing care and quality issues. This important reference and guide: Outlines a planning framework that activates research and evidence in practice settings, moving knowledge into action and sustaining the use of best practice Introduces the framework that enables effective evidence-informed methodology and decision-making Features numerous illustrative field examples of both successful and unsuccessful implementations in a variety of practical situations Offers perspectives on best practice implementation from experienced practitioners and researchers Knowledge Translation in Nursing and Healthcareis a must-have for those wanting to implement, evaluate, and sustain best practice in the delivery of evidence-informed healthcare to patients, families, and communities.
Author: Kara Durski
Publisher: Frontiers Media SA
ISBN: 283254066X
Category : Medical
Languages : en
Pages : 140
Get Book Here
Book Description
As health systems all over the world not only recover from COVID-19, but learn to adapt to contexts of increasing uncertainty amidst persistent challenges, it is clear that systems thinking has never been needed more. Systems thinking is an approach to problem-solving that views problems as part of a wider dynamic system. It recognizes and prioritizes the understanding of linkages, relationships, interactions and interdependencies among the components of a system that give rise to the system’s observed behaviour. Systems thinking is a philosophical frame, and it can also be considered a method with its own tools. Identifying ways in the short and long-term which strengthen health systems is critical and applied systems thinking offers opportunities to do this. Systems thinking is often considered to be a field, a discipline, a philosophical approach and a set of tools and methods and can be defined as a way to understand and improve complex issues and situations. Despite broad consensus that systems thinking is important in health systems strengthening, it remains underutilized by researchers, public health practitioners and health decision makers. Further, a gap remains in the translation from concept to policy.
Author: Pantea Keikhosrokiani
Publisher: Academic Press
ISBN: 0323985165
Category : Medical
Languages : en
Pages : 356
Get Book Here
Book Description
Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. - Presents theories, methods and approaches in which data analytic techniques are used for medical data - Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases - Discusses social, behavioral, and medical fake news analytics for medical information systems
