Big Data-Enabled Nursing

Connie W. Delaney

ISBN 10: 3319532995 / ISBN 13: 9783319532998

Edité par Springer International Publishing, Springer Nature Switzerland Nov 2017, 2017

A propos de cet article

Neuware -Historically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. Historically, large data methods were limited to traditional biostatical analyses. 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. Health systems electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. 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. New opportunities for nursing and call for new skills in research methodologies are being further enabled by new partnerships spanning all sectors.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 524 pp. Englisch.

N° de réf. du vendeur 9783319532998

Détails bibliographiques

• Titre: Big Data-Enabled Nursing
• Éditeur: Springer International Publishing, Springer Nature Switzerland Nov 2017
• Date de parution: 2017
• Langue: anglais
• ISBN à 10 chiffres: 3319532995
• ISBN à 13 chiffres: 9783319532998
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 160 H x 32 P (en millimètres) 241 millimètres de largeur par 160 millimètres de hauteur par 32 millimètres de profondeur
• Poids: 1041 grammes

A propos de ce titre

Synopsis

Dedicated to teaching the application of big data within nursing

Makes extensive use of illustrations to expand on key thematic points

Contextualizes strategies for effective modern nursing practice

Provides a strategic study of the use of big data across healthcare

À propos de l?auteur

Five editors are national and international experts in nursing & health informatics, representing all sectors including health systems, corporate and vendors, academia, policy, and professional associations. All invited authors are recognized experts.