Zobrazeno 1 - 10
of 452
pro vyhledávání: '"Nursing Minimum Data Set"'
Akademický článek
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Akademický článek
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Publikováno v:
Health Informatics Journal. 28:146045822210998
Objectives: This study explores the evidence available on Nursing Minimum Data Sets (NMDSs) by summarising: (a) the main methodological and reporting features of the reviews published in this field to date; (b) the recommendations developed and publi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2c9d24496b7acc18e250df0cd888695
https://doi.org/10.1177/14604582221099826
https://doi.org/10.1177/14604582221099826
Publikováno v:
Problemy Pielęgniarstwa. 25:108-111
ICN anticipates that ICNP® users will develop more catalogues as more nurses use ICNP® in electronic health records and digital communication devices. Nurses who use ICNP® in the documentation of their practice should know the core data elements f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b7490094ad7fdb21e35a126c8985f58
https://doi.org/10.5603/pp.2017.0017
https://doi.org/10.5603/pp.2017.0017
Publikováno v:
Journal of Advanced Nursing. 73:2248-2259
Aims To measure the inter-rater reliability of the Oulu Patient Classification (OPCq) and to discuss existing methods of reliability testing. Background The OPCq, part of the RAFAELA® System, has been developed to assist nursing managers with the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cedc405098bb2776a0e594557f78c1f3
https://doi.org/10.1111/jan.13288
https://doi.org/10.1111/jan.13288
Autor:
Ercole Vellone, John M. Welton, Rosaria Alvaro, Gianfranco Sanson, Antonello Cocchieri, Fabio D'Agostino, Maurizio Zega, Massimo Maurici
Background Oncological diseases affect the biopsychosocial aspects of a person's health, resulting in the need for complex multidisciplinary care. The quality and outcomes of healthcare cannot be adequately assessed without considering the contributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55b3a13feb600f7c43c8649455c4b8b6
http://hdl.handle.net/2108/210246
http://hdl.handle.net/2108/210246
Autor:
Tibaldi, L, Figura, M, Chiefari, Rl, Roncone, A, Giannetta, N, Dionisi, S, Cianciulli, A, Fiorinelli, M, Chiarini, M, Di Simone, E, Di Muzio, M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3686::236428a02c74fb719382f0292792918c
http://hdl.handle.net/11573/1273705
http://hdl.handle.net/11573/1273705
Publikováno v:
Journal of the American Geriatrics Society. 64:e259-e264
Background There is a general belief that the markers of nursing home quality do not aggregate easily. Identifying consistent and coherent dimensions of quality that usefully summarize the multiplicity of nursing home quality measures is an important
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::790f4612d88e705c90f9d658c9db18d5
https://doi.org/10.1111/jgs.14562
https://doi.org/10.1111/jgs.14562
Autor:
Jessica J. Peterson, Bonnie L. Westra
Publikováno v:
AORN Journal. 104:286-292
Big data are large volumes of digital data that can be collected from disparate sources and are challenging to analyze. These data are often described with the five "Vs": volume, velocity, variety, veracity, and value. Perioperative nurses contribute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d42a8d87de07a9eccaff67c8f5394a1
https://doi.org/10.1016/j.aorn.2016.07.009
https://doi.org/10.1016/j.aorn.2016.07.009
Autor:
Mary Beth Happ, Jennifer B. Seaman, Andrea M. Sciulli, Susan M. Sereika, Anna C. Evans, Amber E. Barnato
Publikováno v:
Western Journal of Nursing Research. 39:1271-1288
The electronic health record is a potentially rich source of data for clinical research in the intensive care unit setting. We describe the iterative, multi-step process used to develop and test a data abstraction tool, used for collection of nursing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b43fd08bc7bebb18b481ab123960de3
https://doi.org/10.1177/0193945916665814
https://doi.org/10.1177/0193945916665814