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A Conceptual Model of an Electronic Appendix Called "Nursing file for palliative care", for Training Students from the Speciality of Nurse

Published: 23 June 2017 Publication History

Abstract

Globally, nursing as a science is dynamically developing, in response to the growing needs of health care. The documentation of the performed activities and interventions by the nurse, is an important element of her work and a specific moment of the training process of the field of study. The suggested conceptual method of Electronic nursing file, gives opportunity to systematize and optimize the training process, and also responds to the digital generations' expectations. It creates conditions for interactive training, for a timely reaction by the student, as well as a fair estimation of the achieved skills, knowledge and competence.

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cover image ACM Other conferences
CompSysTech '17: Proceedings of the 18th International Conference on Computer Systems and Technologies
June 2017
358 pages
ISBN:9781450352345
DOI:10.1145/3134302
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • UORB: University of Ruse, Bulgaria
  • TECHUVB: Technical University of Varna, Bulgaria

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 June 2017

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Author Tags

  1. Nurse
  2. electronic nursing file
  3. palliative care
  4. training

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  • Refereed limited

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CompSysTech'17

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CompSysTech '17 Paper Acceptance Rate 42 of 107 submissions, 39%;
Overall Acceptance Rate 241 of 492 submissions, 49%

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