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Zurich, summer 1912. Albert Einstein has just returned from Prague to the city on the Limmat. He sends a plea for help to his former fellow student, the mathematician Marcel Grossmann (1878-1936), for he is in need of assistance with the mathematical calculations of his general theory of relativity. What then follows is one of the most fascinating chapters of science history, with far-reaching consequences for the lives of the two friends. Marcel Grossmann’s granddaughter paints here a picture of a fiery and many-talented scientist and patriot. She traces the influence of an entrepreneurial family during Germany’s rapid industrial expansion in the late 19th century. The family’s fluctuating fortunes take the story to the vibrant city of Budapest on the Danube; they enable readers to sense the pioneering spirit at Zurich’s young Polytechnic Institute (now ETH Zurich) – but also reflect the worries and hardships of the First World War and interwar years. The Foreword is written by Prof. Remo Ruffini, founder and president of the International Center for Relativistic Astrophysics and the Marcel Grossmann Meetings. Last but not least, an extensive contribution by Dr. Tilman Sauer offers a scientific-historical appreciation of Marcel Grossmann’s enduring contributions.

Science --- Geometry --- Mathematics --- History of physics --- Theory of relativity. Unified field theory --- Physics --- Geophysics --- History --- History of Germany and Austria --- History of Europe --- zwaartekracht --- wetenschap --- geschiedenis --- Europese geschiedenis --- wiskunde --- fysica --- relativiteitstheorie --- geometrie --- Eastern and Central Europe

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"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."--Publisher's description.

Common good -- United States -- Congresses. --- Medical policy -- United States -- Congresses. --- Medical policy -- United States -- Public opinion -- Congresses. --- Medical informatics --- Common good --- Medical policy --- Public interest --- Medical records --- Medical care --- Information storage and retrieval systems --- Health Care Evaluation Mechanisms --- Management Information Systems --- Information Science --- Software --- Informatics --- Investigative Techniques --- Epidemiologic Methods --- Publication Formats --- Organization and Administration --- Information Systems --- Public Health --- Computing Methodologies --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Quality of Health Care --- Publication Characteristics --- Medical Informatics Applications --- Health Care Quality, Access, and Evaluation --- Environment and Public Health --- Health Services Administration --- Health Care --- Data Collection --- Database Management Systems --- Medical Informatics --- Information Management --- Congresses --- Methods --- Medicine --- Health & Biological Sciences --- Medical & Biomedical Informatics --- Public opinion --- Data processing --- Health care policy --- Health policy --- Medicine and state --- Policy, Medical --- Public health --- Public health policy --- State and medicine --- Good, Common --- Public good --- Government policy --- Science and state --- Social policy --- Political science --- Consensus (Social sciences) --- Justice

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The effective use of data is foundational to the concept of a learning health system--one that leverages and shares data to learn from every patient experience, and feeds the results back to clinicians, patients and families, and health care executives to transform health, health care, and health equity. More than ever, the American health care system is in a position to harness new technologies and new data sources to improve individual and population health. Learning health systems are driven by multiple stakeholders--patients, clinicians and clinical teams, health care organizations, academic institutions, government, industry, and payers. Each stakeholder group has its own sources of data, its own priorities, and its own goals and needs with respect to sharing that data. However, in America's current health system, these stakeholders operate in silos without a clear understanding of the motivations and priorities of other groups. The three stakeholder working groups that served as the authors of this Special Publication identified many cultural, ethical, regulatory, and financial barriers to greater data sharing, linkage, and use. What emerged was the foundational role of trust in achieving the full vision of a learning health system. This Special Publication outlines a number of potentially valuable policy changes and actions that will help drive toward effective, efficient, and ethical data sharing, including more compelling and widespread communication efforts to improve awareness, understanding, and participation in data sharing. Achieving the vision of a learning health system will require eliminating the artificial boundaries that exist today among patient care, health system improvement, and research. Breaking down these barriers will require an unrelenting commitment across multiple stakeholders toward a shared goal of better, more equitable health. We can improve together by sharing and using data in ways that produce trust and respect. Patients and families deserve nothing less.

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"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 healthcare 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."--Publisher's description.

Medical care - Utilization - Study and teaching - United States. --- Integrated delivery of health care --- Medical care --- Publication Formats --- Patient Care Management --- Evidence-Based Practice --- Quality of Health Care --- North America --- Clinical Medicine --- Health Care Quality, Access, and Evaluation --- Engineering --- Health Care Economics and Organizations --- Legislation as Topic --- Americas --- Publication Characteristics --- Health Occupations --- Health Care --- Health Services Administration --- Social Control, Formal --- Technology, Industry, and Agriculture --- Medicine --- Disciplines and Occupations --- Technology, Industry, Agriculture --- Geographic Locations --- Geographicals --- Delivery of Health Care --- Evidence-Based Medicine --- Quality Improvement --- Health Planning --- Congresses --- United States --- Public Health --- Health & Biological Sciences --- Hospitals & Medical Centers --- Study and teaching --- Utilization --- Medical policy

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Medical informatics -- United States -- Congresses. --- Medical records -- United States -- Data processing -- Congresses. --- United States. -- Health Information Technology for Economic and Clinical Health Act. --- Medical records --- Medical informatics --- Patient Care Management --- Mental Processes --- North America --- Health Care Quality, Access, and Evaluation --- Engineering --- Publication Formats --- Psychology, Educational --- Information Science --- Health Services Administration --- Informatics --- Americas --- Health Care --- Publication Characteristics --- Psychology, Applied --- Technology, Industry, and Agriculture --- Psychological Phenomena and Processes --- Technology, Industry, Agriculture --- Psychiatry and Psychology --- Geographic Locations --- Geographicals --- Delivery of Health Care --- Quality Improvement --- Learning --- Quality of Health Care --- Congresses --- United States --- Medical Informatics --- Medicine --- Health & Biological Sciences --- Medical & Biomedical Informatics --- Data processing --- United States. --- Clinical records --- Health records --- Hospital medical records --- Patient care records --- Clinical informatics --- Health informatics --- Medical information science --- Communication in medicine --- Hospital records --- Information science