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Nursing --- Nursing audit --- Data Collection --- Nursing Assessment. --- Outcome and Process Assessment (Health Care) --- Nursing audit. --- Research --- instrumentation. --- methods. --- Research. --- Data Collection. --- Donabedian Model --- Donabedian Triad --- Outcome and Process Assessment --- Structure Process Outcome Triad --- Model, Donabedian --- Triad, Donabedian --- Assessment, Nursing --- Protocols, Nursing --- Nursing Protocols --- Assessments, Nursing --- Nursing Assessments --- Nursing Protocol --- Protocol, Nursing --- Data Aggregation --- Data Collection Methods --- Dual Data Collection --- Aggregation, Data --- Collection Method, Data --- Collection Methods, Data --- Collection, Data --- Collection, Dual Data --- Data Collection Method --- Method, Data Collection --- Methods, Data Collection --- Audit, Nursing --- Clinical nursing --- Nurses and nursing --- Nursing process --- Evaluation --- Nursing Assessment --- instrumentation --- methods --- Medical History Taking --- Empirical Research --- Care of the sick --- Medicine --- Standards --- nurses' instruction --- Outcome and Process Assessment, Health Care. --- Outcome and Process Assessment, Health Care --- Soins infirmiers --- Recherche --- Évaluation

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Human genetics --- Clinical chemistry --- Nutritionary hygiene. Diet --- Pathological endocrinology --- Human biochemistry --- Pathology of the organs of movement --- Pathology of the metabolism --- Clinical trials --- Health surveys --- Clinical Trials --- Data Collection --- Forms --- forms --- Forms. --- forms. --- Clinical Trials as Topic. --- Data Collection. --- Data Aggregation --- Data Collection Methods --- Dual Data Collection --- Aggregation, Data --- 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 --- Clinical Trial as Topic --- Clinical Protocols --- Drug Evaluation --- Drugs, Investigational --- Clinical Trials Data Monitoring Committees --- Therapies, Investigational --- Clinical Trials as Topic --- Public health surveys --- Surveys --- Controlled clinical trials --- Patient trials of new treatments --- Randomized clinical trials --- Trials, Clinical --- Clinical medicine --- Human experimentation in medicine --- Research

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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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Data Collection. --- Health Surveys. --- Statistics as Topic. --- 31.001 --- 311.3 --- 311.311 --- 614 --- Area Analysis --- Correlation Studies --- Correlation Study --- Correlation of Data --- Data Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Data --- Analyses, Multiple Classification --- Analysis, Area --- Analysis, Data --- Analysis, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Data Analyses --- Data Correlation --- Data Correlations --- Estimation Technic --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Correlation --- Studies, Statistical --- Study, Correlation --- Study, Statistical --- Technic, Estimation --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Abortion Surveys --- Abortion Survey --- Health Survey --- Survey, Abortion --- Survey, Health --- Surveys, Abortion --- Surveys, Health --- Data Aggregation --- Data Collection Methods --- Dual Data Collection --- Aggregation, Data --- 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 --- Functie, taak en doelstelling van de statistiek --- Organisatie van de statistiek --- Data collection --- Health surveys --- Statistics --- 311.3 Organisatie van de statistiek --- 31.001 Functie, taak en doelstelling van de statistiek --- Data collection. --- Health surveys. --- Statistics. --- Public health --- Epidemiology --- Sanitary Surveys, Water Supply --- Data Collection --- Health Surveys --- Statistics as Topic

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People keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of. Gina Neff and Dawn Nafus describe what happens when people turn their everyday experience -- in particular, health and wellness-related experience -- into data, and offer an introduction to the essential ideas and key challenges of using these technologies. They consider self-tracking as a social and cultural phenomenon, describing not only the use of data as a kind of mirror of the self but also how this enables people to connect to, and learn from, others. Neff and Nafus consider what's at stake: who wants our data and why; the practices of serious self-tracking enthusiasts; the design of commercial self-tracking technology; and how self-tracking can fill gaps in the healthcare system. Today, no one can lead an entirely untracked life. Neff and Nafus show us how to use data in a way that empowers and educates.

Patient self-monitoring. --- Self-monitoring. --- Self-care, Health --- Medical telematics. --- Medical innovations --- Information technology --- Society and medical innovations --- Clinical telematics --- Health telematics --- Telehealth --- Medical informatics --- Telecommunication in medicine --- Telematics --- Health care, Self --- Health self-care --- Medical self-care --- Self-care, Medical --- Self health care --- Self-help, Health --- Care of the sick --- Health --- Health behavior --- Holistic medicine --- Medical care --- Medicine, Popular --- Monitoring, Self --- Self-management (Psychology) --- Medical self-monitoring --- Medical self-testing --- Patient self-testing --- Self-monitoring, Patient --- Self-testing, Patient --- Patient monitoring --- Technological innovations. --- Social aspects. --- INFORMATION SCIENCE/General --- SCIENCE, TECHNOLOGY & SOCIETY/General --- COMPUTER SCIENCE/Human Computer Interaction --- Patient self-monitoring --- Self-monitoring --- Medical telematics --- Telecommunication --- Self Care --- Health Behavior --- Telecommunications --- Data Collection --- Medical History Taking --- Empirical Research --- 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 --- Teleconference --- Telegraphy --- Teleconferences --- Telegraphies --- Healthy Lifestyle --- Health Promotion --- Life Style --- Health-Related Behavior --- Behavior, Health --- Behavior, Health-Related --- Behaviors, Health --- Behaviors, Health-Related --- Health Behaviors --- Health Related Behavior --- Health-Related Behaviors --- Self-Care --- Care, Self --- Communication --- Information theory --- Telecommuting --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Diseases --- Habit --- Health attitudes --- Human behavior --- Medicine and psychology --- Health habits --- Technological innovations --- Social aspects --- Causes and theories of causation