Literature DB >> 33853142

Representation of Diagnosis and Nursing Interventions in OpenEHR Archetypes.

Denilsen Carvalho Gomes1, Nuno Abreu2, Paulino Sousa3, Claudia Moro1, Deborah Ribeiro Carvalho1, Marcia Regina Cubas1.   

Abstract

OBJECTIVE: The study aimed to represent the content of nursing diagnosis and interventions in the openEHR standard.
METHODS: This is a developmental study with the models developed according to ISO 18104: 2014. The Ocean Archetype Editor tool from the openEHR Foundation was used.
RESULTS: Two archetypes were created; one to represent the nursing diagnosis concept and the other the nursing intervention concept. Existing archetypes available in the Clinical Knowledge Manager were reused in modeling.
CONCLUSION: The representation of nursing diagnosis and interventions based on the openEHR standard contributes to representing nursing care phenomena and needs in health information systems. Thieme. All rights reserved.

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Mesh:

Year:  2021        PMID: 33853142      PMCID: PMC8046594          DOI: 10.1055/s-0041-1728706

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  16 in total

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Authors:  Evelyn Hovenga; Sebastian Garde; Sam Heard
Journal:  Int J Med Inform       Date:  2005-08-22       Impact factor: 4.046

2.  An openEHR Approach to Detailed Clinical Model Development: Tobacco Smoking Summary Archetype as a Case Study.

Authors:  Ping-Cheng Wei; Koray Atalag; Karen Day
Journal:  Appl Clin Inform       Date:  2019-03-27       Impact factor: 2.342

3.  [Information Systems in Nursing: new challenges, new opportunities…].

Authors:  Paulino Sousa
Journal:  Rev Esc Enferm USP       Date:  2012-10       Impact factor: 1.086

4.  Dealing with the archetypes development process for a regional EHR system.

Authors:  M R Santos; M P Bax; D Kalra
Journal:  Appl Clin Inform       Date:  2012-07-06       Impact factor: 2.342

5.  [Essential data set's archetypes for nursing care of endometriosis patients].

Authors:  Dandara Novakowski Spigolon; Claudia Maria Cabral Moro
Journal:  Rev Gaucha Enferm       Date:  2012-12

6.  Applying representational state transfer (REST) architecture to archetype-based electronic health record systems.

Authors:  Erik Sundvall; Mikael Nyström; Daniel Karlsson; Martin Eneling; Rong Chen; Håkan Örman
Journal:  BMC Med Inform Decis Mak       Date:  2013-05-09       Impact factor: 2.796

7.  Modeling EHR with the openEHR approach: an exploratory study in China.

Authors:  Lingtong Min; Qi Tian; Xudong Lu; Huilong Duan
Journal:  BMC Med Inform Decis Mak       Date:  2018-08-29       Impact factor: 2.796

8.  OpenEHR and General Data Protection Regulation: Evaluation of Principles and Requirements.

Authors:  Duarte Gonçalves-Ferreira; Mariana Sousa; Gustavo M Bacelar-Silva; Samuel Frade; Luís Filipe Antunes; Thomas Beale; Ricardo Cruz-Correia
Journal:  JMIR Med Inform       Date:  2019-03-25

9.  openEHR Archetype Use and Reuse Within Multilingual Clinical Data Sets: Case Study.

Authors:  Heather Leslie
Journal:  J Med Internet Res       Date:  2020-11-02       Impact factor: 5.428

10.  Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing.

Authors:  Antje Wulff; Marcel Mast; Marcus Hassler; Sara Montag; Michael Marschollek; Thomas Jack
Journal:  Methods Inf Med       Date:  2020-10-14       Impact factor: 2.176

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