Cover -- Series -- Title -- Copyright -- Contents -- General Editor's Preface -- Acknowledgements -- Abbreviations -- 1 Introduction -- 2 Identities -- 3 Branch Life -- 3 Branch Life -- 4 Socialism and Social Change I: Youth, Culture and America -- 5 Socialism and Social Change II: TV, Advertising, Consumerism and Lifestyle -- 6 Must Labour Lose? Revisionism and the Affluent Worker' -- 7 Political Communication -- 8 Conclusions -- Notes -- Select Bibliography -- Index.
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As the New York Academy of Medicine celebrates its 150th year as a leader in the field of urban health, it is instructive to review the events and decisions that influenced and shaped it. Since its inception, the Academy has taken an active role in lobbying state and local governments to enact more-effective public health laws and in educating the public about improving health conditions. During 1996 and 1997, the Academy Library's Historical Collections is mounting a series of six exhibitions that are intended to tell the story of public health in New York as influenced by the New York Academy of Medicine. The story will be told using printed books, pamphlets, posters, photographs, and manuscripts drawn from the Library's collections, as well as the Academy's archives. Each exhibition will highlight the Academy's accomplishments in the subject areas presented. In this article, we summarize all six of the exhibitions and offer an in-depth look at the first two exhibitions.
<b><i>Background:</i></b> The rapidity of technological change in genetics is not always matched by the uptake of this new knowledge into practice. Increasing genetic knowledge has already led to legal liability for those who have not used it properly, such as not informing patients or their families of potential genetic risk. A similar outcome is also of concern in the case of risk prediction models used for hereditary breast cancer. <b><i>Results:</i></b> No legal case has directly addressed the use of risk prediction models. However, as genetic medicine and risk prediction models become more widely used, the prospect of a lawsuit will also increase. Current case law is instructive on the circumstances under which medical liability actions could be pursued and circumstances under which liability is unlikely, such as the provision of faulty family history information by a patient. <b><i>Conclusions:</i></b> There is existing case law on family history and genetics that parallels in many respects the use of risk prediction models. However, the idea of a bad 'prediction' is a difficult legal concept. Outside of a plain misuse or failure to use a risk prediction model when circumstances clearly required it, there is little legal guidance presently available to determine the risk for medical liability.
