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Nursing --- Data processing. --- Nursing Informatics. --- Informatics, Nursing
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Despite paying more for healthcare than any other country in the world, the US ranks below more than 40 other countries in life expectancy – down significantly from two decades earlier. As the Institute of Medicine concluded, “The current care systems cannot do the job. Trying harder will not work. Changing systems will.” Creating a new system that is “safe, effective, patient-centered, timely, efficient, and equitable” demands transformative change and the health information technology (IT) to support it. For the more than 2.6 million nurses who make up more than half of the national healthcare workforce, IT will be more than an enabler. This fourth edition of Nursing Informatics serves as a definitive guide to the transformation now underway, drawing insight and energy from the initiative known as Technology Informatics Guiding Education Reform (TIGER). Launched by a small group of nurse advocates, TIGER is a guiding force for integration of technology and informatics into education and practice nationally and provides leadership across health professions and delivery settings. Subsequently, it has developed nine collaborative sections that address critical areas for change: education and faculty development, staff development, informatics competencies, standards and interoperability, usability and clinical application design, leadership development, national health information technology agenda, virtual demonstration center, and consumer and personal health record. This new edition reflects the core tenets set forth in the recommendations made by the TIGER initiative, focusing on a range of issues: • Transformation, culture change, and diffusion • Competencies, education, staff development, and leadership • Infrastructure, adoption, and implementation • Comparative effectiveness research and personalized medicine • Global initiatives The editors for this new edition include key nurse advocates and informaticians active in the TIGER initiative: Marion J. Ball, Judith V. Douglas, Patricia Hinton Walker, Donna DuLong, Brian Gugerty, Kathryn J. Hannah, Joan Kiel, Susan Newbold, Joyce Sensmeier, Diane Skiba, and Michelle Troseth.
Computers. --- Information storage and retrieval systems -- Nursing. --- Information Systems. --- Nursing informatics. --- Nursing. --- Nursing informatics --- Information storage and retrieval systems --- Informatics --- Education, Nursing --- Education, Continuing --- Education, Professional --- Information Science --- Education --- Anthropology, Education, Sociology and Social Phenomena --- Nursing Informatics --- Education, Nursing, Continuing --- Health & Biological Sciences --- Medicine --- Nursing --- Medical & Biomedical Informatics --- Nursing literature searching --- Medicine. --- Health informatics. --- Medicine & Public Health. --- Health Informatics. --- Medical informatics --- Data processing --- Medical records --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Clinical nursing --- Nurses and nursing --- Nursing process --- Care of the sick --- Medical care --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- TIGER Initiative. --- Informatics, Nursing
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This text reflects how the learning health system infrastructure is maturing and being advanced by health information exchanges (HIEs) with multiple organizations blending their data or enabling distributed computing. It educates the readers on the evolution of knowledge discovery methods that span qualitative as well as quantitative data mining, including the expanse of data visualization capacities, are enabling sophisticated discovery. Historically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing has consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery. Big Data-Enabled Nursing reflects on how health systems have developed and how electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. It provides instruction on the new opportunities for nursing and educates readers on the new skills in research methodologies that are being further enabled by new partnerships spanning all sectors. .
Medicine. --- Health informatics. --- Nursing. --- Medicine & Public Health. --- Health Informatics. --- Nursing informatics --- Nursing --- Data processing. --- Medical informatics --- Data processing --- Medical records --- Clinical nursing --- Nurses and nursing --- Nursing process --- Care of the sick --- Medicine --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Medical care --- Nursing informatics. --- Big data. --- Nursing Informatics. --- Data Mining. --- Data Collection. --- Data Collection Methods --- Dual Data Collection --- Collection Method, Data --- Collection Methods, Data --- Collection, Data --- Collection, Dual Data --- Data Collection Method --- Method, Data Collection --- Methods, Data Collection --- Medical History Taking --- Empirical Research --- Text Mining --- Mining, Data --- Mining, Text --- Data Science --- Big Data --- Informatics, Nursing --- Data sets, Large --- Large data sets --- Data sets --- Clinical informatics --- Health informatics --- Medical information science --- Information science
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