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This is the first book offering a comprehensive, yet concise, view on both the challenges and opportunities related to the use of big data in health care. The different chapters report on different perspectives: from health management to patient safety; from the human factor perspective to the ethical and economic ones, and more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the work presented not only sheds light on the problems of big data, but also paves the way for possible solutions and future research directions. The book offers a useful reference guide to health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, helping them in their decision making processes, as well as to students and academicians learning or dealing with data science related research issues in healthcare.
Professional ethics. Deontology --- Sociology --- Human biochemistry --- Hygiene. Public health. Protection --- Human medicine --- Biotechnology --- Information systems --- Computer. Automation --- medische biochemie --- bio-engineering --- sociologie --- big data --- geneeskunde --- gezondheidszorg --- gezondheidsvoorzieningen --- biotechnologie --- bio-ethiek --- medische ethiek --- medische informatica --- gegevensanalyse --- Health informatics. --- Biomedical engineering. --- Social service . --- Health administration. --- Bioethics. --- Big data. --- Health Informatics. --- Biomedical Engineering and Bioengineering. --- Social Care. --- Health Administration. --- Big Data/Analytics. --- Data sets, Large --- Large data sets --- Data sets --- Biology --- Biomedical ethics --- Life sciences --- Life sciences ethics --- Science --- Benevolent institutions --- Philanthropy --- Relief stations (for the poor) --- Social service agencies --- Social welfare --- Social work --- Human services --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Moral and ethical aspects --- Data processing --- Social service.
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