Genomic applications are being integrated into a broad range of clinical and research activities at health care systems across the United States. This trend can be attributed to a variety of factors, including the declining cost of genome sequencing and the potential for improving health outcomes and cutting the costs of care. The goals of these genomics-based programs may be to identify individuals with clinically actionable variants as a way of preventing disease, providing diagnoses for patients with rare diseases, and advancing research on genetic contributions to health and disease. Of particular interest are genomics- based screening programs, which will, in this publication, be clinical screening programs that examine genes or variants in unselected populations in order to identify individuals who are at an increased risk for a particular health concern (e.g., diseases, adverse drug outcomes) and who might benefit from clinical interventions. On November 1, 2017, the National Academies of Sciences, Engineering, and Medicine hosted a public workshop to explore the challenges and opportunities associated with integrating genomics-based screening programs into health care systems. This workshop was developed as a way to explore the challenges and opportunities associated with integrating genomics-based programs in health care systems in the areas of evidence collection, sustainability, data sharing, infrastructure, and equity of access. This publication summarizes the presentations and discussions from the workshop.

Genomic applications are being integrated into a broad range of clinical and research activities at health care systems across the United States. This trend can be attributed to a variety of factors, including the declining cost of genome sequencing and the potential for improving health outcomes and cutting the costs of care. The goals of these genomics-based programs may be to identify individuals with clinically actionable variants as a way of preventing disease, providing diagnoses for patients with rare diseases, and advancing research on genetic contributions to health and disease. Of particular interest are genomics- based screening programs, which will, in this publication, be clinical screening programs that examine genes or variants in unselected populations in order to identify individuals who are at an increased risk for a particular health concern (e.g., diseases, adverse drug outcomes) and who might benefit from clinical interventions. On November 1, 2017, the National Academies of Sciences, Engineering, and Medicine hosted a public workshop to explore the challenges and opportunities associated with integrating genomics-based screening programs into health care systems. This workshop was developed as a way to explore the challenges and opportunities associated with integrating genomics-based programs in health care systems in the areas of evidence collection, sustainability, data sharing, infrastructure, and equity of access. This publication summarizes the presentations and discussions from the workshop.

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.

Although it is becoming increasingly more common for clinicians to use genomic data in their practices for disease prevention, diagnosis, and treatment, the process of integrating genomic data into the practice of medicine has been a slow and challenging one. Some of the major barriers impeding the incorporation of new genomic technology into clinical practice are: the difficulty of changing routine medical practices to account for the use of genetic testing, the limited knowledge of patients and providers about genomic medicine, assessing sufficient evidence to support the use of genetic tests, privacy and data security issues, and uncertainty about reimbursement. The field of implementation science may be able to provide insights concerning efficient ways to incorporate genomic applications into routine clinical practice. The focus of implementation science studies is to identify integration bottlenecks and optimal approaches for a given setting and ultimately to promote the up-take of research findings. To explore the potential of implementation science to improve the integration of genomics into medicine, the National Academies of Sciences, Engineering, and Medicine held a workshop in Washington, DC, in November 2015. Participants explored the challenges and opportunities of integrating genomic advances into the clinic through the lens of implementation science. This report summarizes the presentations and discussions from the workshop.

With the advent of genome-wide association studies, numerous associations between specific gene loci and complex diseases have been identified-for breast cancer, coronary artery disease, and asthma, for example. This rapidly advancing field of genomics has stirred great interest in "personalized" health care from both the public and private sectors. The hope is that using genomic information in clinical care will lead to reduced health care costs and improved health outcomes as therapies are tailored to the genetic susceptibilities of patients. A variety of genetically based health care innovations have already reached the marketplace, but information about the clinical use of these treatments and diagnostics is limited. Currently data do not provide information about how a genomic test impacts clinical care and patient health outcomes-other approaches are needed to garner such information. This volume summarizes a workshop to address central questions related to the development of systems to evaluate clinical use of health care innovations that stem from genome-based research: What are the practical realities of creating such systems? What different models could be used? What are the strengths and weaknesses of each model? How effectively can such systems address questions about health outcomes?

The sequencing of the human genome and the identification of links between specific genetic variants and diseases have led to tremendous excitement over the potential of genomics to direct patient treatment toward more effective or less harmful interventions. Still, the use of whole genome sequencing challenges the traditional model of medical care where a test is ordered only when there is a clear indication for its use and a path for downstream clinical action is known. This has created a tension between experts who contend that using this information is premature and those who believe that having such information will empower health care providers and patients to make proactive decisions regarding lifestyle and treatment options. In addition, some stakeholders are concerned that genomic technologies will add costs to the health care system without providing commensurate benefits, and others think that health care costs could be reduced by identifying unnecessary or ineffective treatments. Economic models are frequently used to anticipate the costs and benefits of new health care technologies, policies, and regulations. Economic studies also have been used to examine much more specific issues, such as comparing the outcomes and cost effectiveness of two different drug treatments for the same condition. These kinds of analyses offer more than just predictions of future health care costs. They provide information that is valuable when implementing and using new technologies. Unfortunately, however, these economic assessments are often limited by a lack of data on which to base the examination. This particularly affects health economics, which includes many factors for which current methods are inadequate for assessing, such as personal utility, social utility, and patient preference. To understand better the health economic issues that may arise in the course of integrating genomic data into health care, the Roundtable on Translating Genomic-Based Research for Health hosted a workshop in Washington, DC, on July 17-18, 2012, that brought together economists, regulators, payers, biomedical researchers, patients, providers, and other stakeholders to discuss the many factors that may influence this implementation. The workshop was one of a series that the roundtable has held on this topic, but it was the first focused specifically on economic issues. The Economics of Genomic Medicine summarizes this workshop.

Genomic medicine is defined as the routine use of genomic information about an individual as part of his or her clinical care as well as the health outcomes and policy implications of that clinical use. It is one approach that has the potential to improve the quality of health care by allowing practitioners to tailor prevention, diagnostic, and treatment strategies to individual patients. In recent years, research breakthroughs, technological advances, and the decreasing cost of DNA sequencing have led to the wider adoption of genomic medicine. However, as with the introduction of new technologies into health care, there are concerns that genetic and genomic testing and services will not reach all segments of the population both now and in the near future, and there remains a gap in knowledge regarding potential health care disparities in genomic medicine and precision health approaches. On June 27, 2018, the National Academies of Sciences, Engineering, and Medicine hosted a public workshop to examine the gaps in knowledge related to access to genomic medicine and to discuss health care disparities and possible approaches to overcoming the disparate use of genomic medicine among populations. Workshop participants discussed research on access to genetics and genomics services in medically underserved areas, model programs of care for diverse patient populations, and current challenges and possible best practices for alleviating health care disparities as they relate to genomics-based approaches. This publication summarizes the presentations and discussions from the workshop.