J. Michael McGinnis – författare

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.

This volume reports on discussions among multiple stakeholders about ways they might help transform health care in the United States. The U.S. healthcare system consists of a complex network of decentralized and loosely associated organizations, services, relationships, and participants. Each of the healthcare system''s component sectors—patients, healthcare professionals, healthcare delivery organizations, healthcare product developers, clinical investigators and evaluators, regulators, insurers, employers and employees, and individuals involved in information technology—conducts activities that support a common goal: to improve patient health and wellbeing. Implicit in this goal is the commitment of each stakeholder group to contribute to the evidence base for health care, that is, to assist with the development and application of information about the efficacy, safety, effectiveness, value, and appropriateness of the health care delivered.

Recent scientific and technological advances have accelerated our understanding of the causes of disease development and progression, and resulted in innovative treatments and therapies. Ongoing work to elucidate the effects of individual genetic variation on patient outcomes suggests the rapid pace of discovery in the biomedical sciences will only accelerate. However, these advances belie an important and increasing shortfall between the expansion in therapy and treatment options and knowledge about how these interventions might be applied appropriately to individual patients. The impressive gains made in Americans'' health over the past decades provide only a preview of what might be possible when data on treatment effects and patient outcomes are systematically captured and used to evaluate their effectiveness. Needed for progress are advances as dramatic as those experienced in biomedicine in our approach to assessing clinical effectiveness. In the emerging era of tailored treatments and rapidly evolving practice, ensuring the translation of scientific discovery into improved health outcomes requires a new approach to clinical evaluation. A paradigm that supports a continual learning process about what works best for individual patients will not only take advantage of the rigor of trials, but also incorporate other methods that might bring insights relevant to clinical care and endeavor to match the right method to the question at hand. The Institute of Medicine Roundtable on Value & Science-Driven Health Care''s vision for a learning healthcare system, in which evidence is applied and generated as a natural course of care, is premised on the development of a research capacity that is structured to provide timely and accurate evidence relevant to the clinical decisions faced by patients and providers. As part of the Roundtable''s Learning Healthcare System series of workshops, clinical researchers, academics, and policy makers gathered for the workshop Redesigning the Clinical Effectiveness Research Paradigm: Innovation and Practice-Based Approaches. Participants explored cutting-edge research designs and methods and discussed strategies for development of a research paradigm to better accommodate the diverse array of emerging data resources, study designs, tools, and techniques. Presentations and discussions are summarized in this volume.

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.

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.

It is essential for patients and clinicians to have the resources needed to make informed, collaborative care decisions. Despite this need, only a small fraction of health-related expenditures in the United States have been devoted to comparative effectiveness research (CER). To improve the effectiveness and value of the care delivered, the nation needs to build its capacity for ongoing study and monitoring of the relative effectiveness of clinical interventions and care processes through expanded trials and studies, systematic reviews, innovative research strategies, and clinical registries, as well as improving its ability to apply what is learned from such study through the translation and provision of information and decision support. As part of its Learning Health System series of workshops, the Institute of Medicine''s (IOM''s) Roundtable on Value & Science-Driven Health Care hosted a workshop to discuss capacity priorities to build the evidence base necessary for care that is more effective and delivers higher value for patients. Learning What Works summarizes the proceedings of the seventh workshop in the Learning Health System series. This workshop focused on the infrastructure needs—including methods, coordination capacities, data resources and linkages, and workforce—for developing an expanded and efficient national capacity for CER. Learning What Works also assesses the current and needed capacity to expand and improve this work, and identifies priority next steps.

Learning What Works is a valuable resource for health care professionals, as well as health care policy makers.

The United States has the highest per capita spending on health care of any industrialized nation. Yet despite the unprecedented levels of spending, harmful medical errors abound, uncoordinated care continues to frustrate patients and providers, and U.S. healthcare costs continue to increase. The growing ranks of the uninsured, an aging population with a higher prevalence of chronic diseases, and many patients with multiple conditions together constitute more complicating factors in the trend to higher costs of care. A variety of strategies are beginning to be employed throughout the health system to address the central issue of value, with the goal of improving the net ratio of benefits obtained per dollar spent on health care. However, despite the obvious need, no single agreed-upon measure of value or comprehensive, coordinated systemwide approach to assess and improve the value of health care exists. Without this definition and approach, the path to achieving greater value will be characterized by encumbrance rather than progress. To address the issues central to defining, measuring, and improving value in health care, the Institute of Medicine convened a workshop to assemble prominent authorities on healthcare value and leaders of the patient, payer, provider, employer, manufacturer, government, health policy, economics, technology assessment, informatics, health services research, and health professions communities. The workshop, summarized in this volume, facilitated a discussion of stakeholder perspectives on measuring and improving value in health care, identifying the key barriers and outlining the opportunities for next steps.

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.

The last century witnessed dramatic changes in the practice of health care, and coming decades promise advances that were not imaginable even in the relatively recent past. Science and technology continue to offer new insights into disease pathways and treatments, as well as mechanisms of protecting health and preventing disease. Genomics and proteomics are bringing personalized risk assessment, prevention, and treatment options within reach; health information technology is expediting the collection and analysis of large amounts of data that can lead to improved care; and many disciplines are contributing to a broadening understanding of the complex interplay among biology, environment, behavior, and socioeconomic factors that shape health and wellness. On February 25 - 27, 2009, the Institute of Medicine (IOM) convened the Summit on Integrative Medicine and the Health of the Public in Washington, DC. The summit brought together more than 600 scientists, academic leaders, policy experts, health practitioners, advocates, and other participants from many disciplines to examine the practice of integrative medicine, its scientific basis, and its potential for improving health. This publication summarizes the background, presentations, and discussions that occurred during the summit.

This volume reports on discussions among multiple stakeholders about ways they might help transform health care in the United States. The U.S. healthcare system consists of a complex network of decentralized and loosely associated organizations, services, relationships, and participants. Each of the healthcare system''s component sectors—patients, healthcare professionals, healthcare delivery organizations, healthcare product developers, clinical investigators and evaluators, regulators, insurers, employers and employees, and individuals involved in information technology—conducts activities that support a common goal: to improve patient health and wellbeing. Implicit in this goal is the commitment of each stakeholder group to contribute to the evidence base for health care, that is, to assist with the development and application of information about the efficacy, safety, effectiveness, value, and appropriateness of the health care delivered.

The last century witnessed dramatic changes in the practice of health care, and coming decades promise advances that were not imaginable even in the relatively recent past. Science and technology continue to offer new insights into disease pathways and treatments, as well as mechanisms of protecting health and preventing disease. Genomics and proteomics are bringing personalized risk assessment, prevention, and treatment options within reach; health information technology is expediting the collection and analysis of large amounts of data that can lead to improved care; and many disciplines are contributing to a broadening understanding of the complex interplay among biology, environment, behavior, and socioeconomic factors that shape health and wellness. On February 25 - 27, 2009, the Institute of Medicine (IOM) convened the Summit on Integrative Medicine and the Health of the Public in Washington, DC. The summit brought together more than 600 scientists, academic leaders, policy experts, health practitioners, advocates, and other participants from many disciplines to examine the practice of integrative medicine, its scientific basis, and its potential for improving health. This publication summarizes the background, presentations, and discussions that occurred during the summit.

As past, current, or future patients, the public should be the health care system''s unwavering focus and serve as change agents in its care. Taking this into account, the quality of health care should be judged not only by whether clinical decisions are informed by the best available scientific evidence, but also by whether care is tailored to a patient''s individual needs and perspectives. However, too often it is provider preference and convenience, rather than those of the patient, that drive what care is delivered. As part of its Learning Health System series of workshops, the Roundtable on Value & Science-Driven Health Care hosted a workshop to assess the prospects for improving health and lowering costs by advancing patient involvement in the elements of a learning health system.

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.

The United States has the highest per capita spending on health care of any industrialized nation. Yet despite the unprecedented levels of spending, harmful medical errors abound, uncoordinated care continues to frustrate patients and providers, and U.S. healthcare costs continue to increase. The growing ranks of the uninsured, an aging population with a higher prevalence of chronic diseases, and many patients with multiple conditions together constitute more complicating factors in the trend to higher costs of care. A variety of strategies are beginning to be employed throughout the health system to address the central issue of value, with the goal of improving the net ratio of benefits obtained per dollar spent on health care. However, despite the obvious need, no single agreed-upon measure of value or comprehensive, coordinated systemwide approach to assess and improve the value of health care exists. Without this definition and approach, the path to achieving greater value will be characterized by encumbrance rather than progress. To address the issues central to defining, measuring, and improving value in health care, the Institute of Medicine convened a workshop to assemble prominent authorities on healthcare value and leaders of the patient, payer, provider, employer, manufacturer, government, health policy, economics, technology assessment, informatics, health services research, and health professions communities. The workshop, summarized in this volume, facilitated a discussion of stakeholder perspectives on measuring and improving value in health care, identifying the key barriers and outlining the opportunities for next steps.

Recent scientific and technological advances have accelerated our understanding of the causes of disease development and progression, and resulted in innovative treatments and therapies. Ongoing work to elucidate the effects of individual genetic variation on patient outcomes suggests the rapid pace of discovery in the biomedical sciences will only accelerate. However, these advances belie an important and increasing shortfall between the expansion in therapy and treatment options and knowledge about how these interventions might be applied appropriately to individual patients. The impressive gains made in Americans'' health over the past decades provide only a preview of what might be possible when data on treatment effects and patient outcomes are systematically captured and used to evaluate their effectiveness. Needed for progress are advances as dramatic as those experienced in biomedicine in our approach to assessing clinical effectiveness. In the emerging era of tailored treatments and rapidly evolving practice, ensuring the translation of scientific discovery into improved health outcomes requires a new approach to clinical evaluation. A paradigm that supports a continual learning process about what works best for individual patients will not only take advantage of the rigor of trials, but also incorporate other methods that might bring insights relevant to clinical care and endeavor to match the right method to the question at hand. The Institute of Medicine Roundtable on Value & Science-Driven Health Care''s vision for a learning healthcare system, in which evidence is applied and generated as a natural course of care, is premised on the development of a research capacity that is structured to provide timely and accurate evidence relevant to the clinical decisions faced by patients and providers. As part of the Roundtable''s Learning Healthcare System series of workshops, clinical researchers, academics, and policy makers gathered for the workshop Redesigning the Clinical Effectiveness Research Paradigm: Innovation and Practice-Based Approaches. Participants explored cutting-edge research designs and methods and discussed strategies for development of a research paradigm to better accommodate the diverse array of emerging data resources, study designs, tools, and techniques. Presentations and discussions are summarized in this volume.

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.

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.

As past, current, or future patients, the public should be the health care system''s unwavering focus and serve as change agents in its care. Taking this into account, the quality of health care should be judged not only by whether clinical decisions are informed by the best available scientific evidence, but also by whether care is tailored to a patient''s individual needs and perspectives. However, too often it is provider preference and convenience, rather than those of the patient, that drive what care is delivered. As part of its Learning Health System series of workshops, the Roundtable on Value & Science-Driven Health Care hosted a workshop to assess the prospects for improving health and lowering costs by advancing patient involvement in the elements of a learning health system.

It is essential for patients and clinicians to have the resources needed to make informed, collaborative care decisions. Despite this need, only a small fraction of health-related expenditures in the United States have been devoted to comparative effectiveness research (CER). To improve the effectiveness and value of the care delivered, the nation needs to build its capacity for ongoing study and monitoring of the relative effectiveness of clinical interventions and care processes through expanded trials and studies, systematic reviews, innovative research strategies, and clinical registries, as well as improving its ability to apply what is learned from such study through the translation and provision of information and decision support. As part of its Learning Health System series of workshops, the Institute of Medicine''s (IOM''s) Roundtable on Value & Science-Driven Health Care hosted a workshop to discuss capacity priorities to build the evidence base necessary for care that is more effective and delivers higher value for patients. Learning What Works summarizes the proceedings of the seventh workshop in the Learning Health System series. This workshop focused on the infrastructure needs—including methods, coordination capacities, data resources and linkages, and workforce—for developing an expanded and efficient national capacity for CER. Learning What Works also assesses the current and needed capacity to expand and improve this work, and identifies priority next steps.

Learning What Works is a valuable resource for health care professionals, as well as health care policy makers.

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.

Thousands of measures are in use today to assess health and health care in the United States. Although many of these measures provide useful information, their usefulness in either gauging or guiding performance improvement in health and health care is seriously limited by their sheer number, as well as their lack of consistency, compatibility, reliability, focus, and organization. To achieve better health at lower cost, all stakeholders - including health professionals, payers, policy makers, and members of the public - must be alert to what matters most. What are the core measures that will yield the clearest understanding and focus on better health and well-being for Americans?

Vital Signs explores the most important issues - healthier people, better quality care, affordable care, and engaged individuals and communities - and specifies a streamlined set of 15 core measures. These measures, if standardized and applied at national, state, local, and institutional levels across the country, will transform the effectiveness, efficiency, and burden of health measurement and help accelerate focus and progress on our highest health priorities. Vital Signs also describes the leadership and activities necessary to refine, apply, maintain, and revise the measures over time, as well as how they can improve the focus and utility of measures outside the core set.

If health care is to become more effective and more efficient, sharper attention is required on the elements most important to health and health care. Vital Signs lays the groundwork for the adoption of core measures that, if systematically applied, will yield better health at a lower cost for all Americans.

According to Transforming Health Care Scheduling and Access, long waits for treatment are a function of the disjointed manner in which most health systems have evolved to accommodate the needs and the desires of doctors and administrators, rather than those of patients. The result is a health care system that deploys its most valuable resource—highly trained personnel—inefficiently, leading to an unnecessary imbalance between the demand for appointments and the supply of open appointments. This study makes the case that by using the techniques of systems engineering, new approaches to management, and increased patient and family involvement, the current health care system can move forward to one with greater focus on the preferences of patients to provide convenient, efficient, and excellent health care without the need for costly investment.

Transforming Health Care Scheduling and Access identifies best practices for making significant improvements in access and system-level change. This report makes recommendations for principles and practices to improve access by promoting efficient scheduling. This study will be a valuable resource for practitioners to progress toward a more patient-focused "How can we help you today?" culture.

What can be more vital to each of us than our health? Yet, despite unprecedented health care spending, the U.S. health system is substantially underperforming, especially with respect to what should be possible, given current knowledge. Although the United States is currently devoting 18% of its Gross Domestic Product to delivering medical care—more than $3 trillion annually and nearly double the expenditure of other advanced industrialized countries—the U.S. health system ranked only 37 in performance in a World Health Organization assessment of member nations. In Vital Directions for Health & Health Care: An Initiative of the National Academy of Medicine, the National Academy of Medicine (NAM), which has long stood as the nation''s most trusted independent source of guidance in health, health care, and biomedical science, has marshaled the wisdom of more than 150 of the nation''s best researchers and health policy experts to assess opportunities for substantially improving the health and well-being of Americans, the quality of care delivered, and the contributions of science and technology. This publication identifies practical and affordable steps that can and must be taken across eight action and infrastructure priorities, ranging from paying for value and connecting care, to measuring what matters most and accelerating the capture of real-world evidence. Without obscuring the difficulty of the changes needed, in Vital Directions, the NAM offers an important blueprint and resource for health, policy, and leaders at all levels to achieve much better health outcomes at much lower cost.