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Book The Learning Healthcare System

Download or read book The Learning Healthcare System written by Institute of Medicine and published by National Academies Press. This book was released on 2007-06-01 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: As our nation enters a new era of medical science that offers the real prospect of personalized health care, we will be confronted by an increasingly complex array of health care options and decisions. The Learning Healthcare System considers how health care is structured to develop and to apply evidence-from health profession training and infrastructure development to advances in research methodology, patient engagement, payment schemes, and measurement-and highlights opportunities for the creation of a sustainable learning health care system that gets the right care to people when they need it and then captures the results for improvement. This book will be of primary interest to hospital and insurance industry administrators, health care providers, those who train and educate health workers, researchers, and policymakers. The Learning Healthcare System is the first in a series that will focus on issues important to improving the development and application of evidence in health care decision making. The Roundtable on Evidence-Based Medicine serves as a neutral venue for cooperative work among key stakeholders on several dimensions: to help transform the availability and use of the best evidence for the collaborative health care choices of each patient and provider; to drive the process of discovery as a natural outgrowth of patient care; and, ultimately, to ensure innovation, quality, safety, and value in health care.

Book Engineering a Learning Healthcare System

Download or read book Engineering a Learning Healthcare System written by National Academy of Engineering and published by National Academies Press. This book was released on 2011-06-14 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving our nation's healthcare system is a challenge which, because of its scale and complexity, requires a creative approach and input from many different fields of expertise. Lessons from engineering have the potential to improve both the efficiency and quality of healthcare delivery. The fundamental notion of a high-performing healthcare system-one that increasingly is more effective, more efficient, safer, and higher quality-is rooted in continuous improvement principles that medicine shares with engineering. As part of its Learning Health System series of workshops, the Institute of Medicine's Roundtable on Value and Science-Driven Health Care and the National Academy of Engineering, hosted a workshop on lessons from systems and operations engineering that could be applied to health care. Building on previous work done in this area the workshop convened leading engineering practitioners, health professionals, and scholars to explore how the field might learn from and apply systems engineering principles in the design of a learning healthcare system. Engineering a Learning Healthcare System: A Look at the Future: Workshop Summary focuses on current major healthcare system challenges and what the field of engineering has to offer in the redesign of the system toward a learning healthcare system.

Book Best Care at Lower Cost

    Book Details:
  • Author : Institute of Medicine
  • Publisher : National Academies Press
  • Release : 2013-05-10
  • ISBN : 0309282810
  • Pages : 437 pages

Download or read book Best Care at Lower Cost written by Institute of Medicine and published by National Academies Press. This book was released on 2013-05-10 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: America's health care system has become too complex and costly to continue business as usual. Best Care at Lower Cost explains that inefficiencies, an overwhelming amount of data, and other economic and quality barriers hinder progress in improving health and threaten the nation's economic stability and global competitiveness. According to this report, the knowledge and tools exist to put the health system on the right course to achieve continuous improvement and better quality care at a lower cost. The costs of the system's current inefficiency underscore the urgent need for a systemwide transformation. About 30 percent of health spending in 2009-roughly $750 billion-was wasted on unnecessary services, excessive administrative costs, fraud, and other problems. Moreover, inefficiencies cause needless suffering. By one estimate, roughly 75,000 deaths might have been averted in 2005 if every state had delivered care at the quality level of the best performing state. This report states that the way health care providers currently train, practice, and learn new information cannot keep pace with the flood of research discoveries and technological advances. About 75 million Americans have more than one chronic condition, requiring coordination among multiple specialists and therapies, which can increase the potential for miscommunication, misdiagnosis, potentially conflicting interventions, and dangerous drug interactions. Best Care at Lower Cost emphasizes that a better use of data is a critical element of a continuously improving health system, such as mobile technologies and electronic health records that offer significant potential to capture and share health data better. In order for this to occur, the National Coordinator for Health Information Technology, IT developers, and standard-setting organizations should ensure that these systems are robust and interoperable. Clinicians and care organizations should fully adopt these technologies, and patients should be encouraged to use tools, such as personal health information portals, to actively engage in their care. This book is a call to action that will guide health care providers; administrators; caregivers; policy makers; health professionals; federal, state, and local government agencies; private and public health organizations; and educational institutions.

Book Basics of the U S  Health Care System

Download or read book Basics of the U S Health Care System written by Nancy J. Niles and published by Jones & Bartlett Learning. This book was released on 2016-12-14 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basics of the U.S. Health Care System, Third Edition provides students with a broad, fundamental introduction to the workings of the healthcare industry. Engaging and activities-oriented, the text offers an especially accessible overview of the major concepts of healthcare operations, the role of government, public and private financing, as well as ethical and legal issues. Each chapter features review exercises and Web resources that make studying this complex industry both enjoyable and easy. Students of various disciplines—including healthcare administration, business, nursing, public health, and others—will discover a practical guide that prepares them for professional opportunities in this rapidly growing sector.

Book Digital Infrastructure for the Learning Health System

Download or read book Digital Infrastructure for the Learning Health System written by Institute of Medicine and published by National Academies Press. This book was released on 2011-10-21 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like many other industries, health care is increasingly turning to digital information and the use of electronic resources. The Institute of Medicine's Roundtable on Value & Science-Driven Health Care hosted three workshops to explore current efforts and opportunities to accelerate progress in improving health and health care with information technology systems.

Book Mental Health Informatics

    Book Details:
  • Author : Jessica D. Tenenbaum
  • Publisher : Springer Nature
  • Release : 2021-11-18
  • ISBN : 3030705587
  • Pages : 540 pages

Download or read book Mental Health Informatics written by Jessica D. Tenenbaum and published by Springer Nature. This book was released on 2021-11-18 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a detailed resource introducing the subdiscipline of mental health informatics. It systematically reviews the methods, paradigms, tools and knowledge base in both clinical and bioinformatics and across the spectrum from research to clinical care. Key foundational technologies, such as terminologies, ontologies and data exchange standards are presented and given context within the complex landscape of mental health conditions, research and care. The learning health system model is utilized to emphasize the bi-directional nature of the translational science associated with mental health processes. Descriptions of the data, technologies, paradigms and products that are generated by and used in each process and their limitations are discussed. Mental Health Informatics: Enabling a Learning Mental Healthcare System is a comprehensive introductory resource for students, educators and researchers in mental health informatics and related behavioral sciences. It is an ideal resource for use in a survey course for both pre- and post-doctoral training programs, as well as for healthcare administrators, funding entities, vendors and product developers working to make mental healthcare more evidence-based.

Book Genomics Enabled Learning Health Care Systems

Download or read book Genomics Enabled Learning Health Care Systems written by Institute of Medicine and published by National Academies Press. This book was released on 2015-07-08 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The inclusion of genomic data in a knowledge-generating health care system infrastructure is one promising way to harness the full potential of that information to provide better patient care. In such a system, clinical practice and research influence each other with the goal of improving the efficiency and effectiveness of disease prevention, diagnosis, and treatment. To examine pragmatic approaches to incorporating genomics in learning health care systems, the Institute of Medicine Roundtable on Translating Genomic-Based Research for Health hosted a workshop which convened a variety of stakeholder groups, including commercial developers, health information technology professionals, clinical providers, academic researchers, patient groups, and government and health system representatives, to present their perspectives and participate in discussions on maximizing the value that can be obtained from genomic information. The workshop examined how a variety of systems are capturing and making use of genomic data to generate knowledge for advancing health care in the 21st century. It also sought to evaluate the challenges, opportunities, and best practices for capturing or using genomic information in knowledge-generating health care systems. Genomics-Enabled Learning Health Care Systems summarizes the presentations and discussion of the workshop.

Book Deep Learning in Healthcare

Download or read book Deep Learning in Healthcare written by Yen-Wei Chen and published by Springer Nature. This book was released on 2019-11-18 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Essentials of the U S  Health Care System

Download or read book Essentials of the U S Health Care System written by Leiyu Shi and published by Jones & Bartlett Learning. This book was released on 2018-09-07 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essentials of the U.S. Health Care System, Fifth Edition is a clear and concise distillation of the major topics covered in the best-selling Delivering Health Care in America by the same authors. Designed for undergraduate and graduate students in programs across the health disciplines, Essentials of the U.S. Health Care System is a reader-friendly, well organized resource that covers the major characteristics, foundations, and future of the U.S. health care system. The text clarifies the complexities of health care organization and finance and presents a solid overview of how the various components fit together.

Book Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems

Download or read book Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems written by Om Prakash Jena and published by CRC Press. This book was released on 2022-05-18 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.

Book Value based Learning Healthcare Systems Integrative Modeling and Simulation

Download or read book Value based Learning Healthcare Systems Integrative Modeling and Simulation written by Bernard P. Zeigler and published by Institution of Engineering and Technology. This book was released on 2019-01-19 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an innovative, unique and holistic approach to modeling and simulation approaches in healthcare management from leaders in computer modeling and simulation. From system architecture to modeling methodology, this book shows how to improve patient health and costs of care via the design and implementation of an efficient infrastructure. The framework, algorithms and methods are evaluated in real community environments. Researchers and professionals in health informatics, technology and policy will find this book invaluable.

Book Basics of the U S  Health Care System

Download or read book Basics of the U S Health Care System written by Nancy J. Niles and published by Jones & Bartlett Publishers. This book was released on 2014-02-18 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basics of the U.S. Health Care System, Second Edition provides students with a broad, fundamental introduction to the workings of the healthcare industry. Engaging and activities-oriented, the text offers an especially accessible overview of the major concepts of healthcare operations, the role of government, public and private financing, as well as ethical and legal issues. Each chapter features review exercises and Web resources that make studying this complex industry both enjoyable and easy. Students of various disciplines—including healthcare administration, business, nursing, public health, and others—will discover in Basics of the U.S. Health Care System, Second Edition a practical guide that prepares them for professional opportunities in this rapidly growing sector. The Second Edition has been updated substantially to reflect the passage and implementation of the health care reform act of 2010, as well as new information on information technology, Medicare, Medicaid, and much more. Basics of the U.S. Health Care System features: • A new chapter on the Patient Protection and Affordable Care Act of 2010 • A complete overview of basic concepts of the U.S. healthcare system • Student activities including crossword puzzles and vocabulary reviews in each chapter • Helpful case studies • PowerPoint slides, TestBank, and Instructor’s Manual for instructors • Online flashcards, crosswords, and an interactive glossary for students

Book Clinical Data as the Basic Staple of Health Learning

Download or read book Clinical Data as the Basic Staple of Health Learning written by Institute of Medicine and published by National Academies Press. This book was released on 2011-01-14 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Successful development of clinical data as an engine for knowledge generation has the potential to transform health and health care in America. As part of its Learning Health System Series, the Roundtable on Value & Science-Driven Health Care hosted a workshop to discuss expanding the access to and use of clinical data as a foundation for care improvement.

Book Machine Learning with Health Care Perspective

Download or read book Machine Learning with Health Care Perspective written by Vishal Jain and published by Springer Nature. This book was released on 2020-03-09 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.

Book Machine Learning in Healthcare

Download or read book Machine Learning in Healthcare written by Bikesh Kumar Singh and published by CRC Press. This book was released on 2022-02-17 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.

Book Health Systems Science E Book

Download or read book Health Systems Science E Book written by Richard E. Hawkins and published by Elsevier Health Sciences. This book was released on 2016-11-30 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed by the American Medical Association’s Accelerating Change in Medical Education Consortium, Health Systems Science is the first text that focuses on providing a fundamental understanding of 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 science, Health Systems Science (HSS) is rapidly becoming a crucial "third pillar" of medical science, requiring a practical, standardized curriculum 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. Complete coverage of the evolving field of HSS includes patient safety, quality improvement, evidence-based medicine, value in health care, interprofessional teamwork, stewardship of health care resources, population management, clinical informatics, care coordination, leadership, and health care financing/reform. Patient improvement strategies incorporates 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. Highly relevant content applicable to today’s evolving health care delivery written by experts in key, emerging areas of HSS. Developed in partnership with the AMA’s Accelerating Change in Medical Education Consortium, at the forefront of change and innovation in medical education.

Book Crossing the Global Quality Chasm

    Book Details:
  • Author : National Academies of Sciences, Engineering, and Medicine
  • Publisher : National Academies Press
  • Release : 2019-01-27
  • ISBN : 0309477891
  • Pages : 399 pages

Download or read book Crossing the Global Quality Chasm written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-01-27 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 2015, building on the advances of the Millennium Development Goals, the United Nations adopted Sustainable Development Goals that include an explicit commitment to achieve universal health coverage by 2030. However, enormous gaps remain between what is achievable in human health and where global health stands today, and progress has been both incomplete and unevenly distributed. In order to meet this goal, a deliberate and comprehensive effort is needed to improve the quality of health care services globally. Crossing the Global Quality Chasm: Improving Health Care Worldwide focuses on one particular shortfall in health care affecting global populations: defects in the quality of care. This study reviews the available evidence on the quality of care worldwide and makes recommendations to improve health care quality globally while expanding access to preventive and therapeutic services, with a focus in low-resource areas. Crossing the Global Quality Chasm emphasizes the organization and delivery of safe and effective care at the patient/provider interface. This study explores issues of access to services and commodities, effectiveness, safety, efficiency, and equity. Focusing on front line service delivery that can directly impact health outcomes for individuals and populations, this book will be an essential guide for key stakeholders, governments, donors, health systems, and others involved in health care.