Appl Clin Inform 2021; 12(02): 340-347
DOI: 10.1055/s-0041-1728706
Research Article

Representation of Diagnosis and Nursing Interventions in OpenEHR Archetypes

Denilsen Carvalho Gomes
1  Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
,
Nuno Abreu
2  Department of Medicine, Centro Hospitalar Universitário do Porto, Porto, Portugal
,
Paulino Sousa
3  Center for Research in Health Technologies and Information Systems (CINTESIS), Faculty of Medicine, University of Porto, Porto, Portugal
,
Claudia Moro
1  Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
,
Deborah Ribeiro Carvalho
1  Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
,
Marcia Regina Cubas
1  Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
› Author Affiliations
Funding M.R.C. reports grants from Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil during the conduct of the study. D.C.G. reports grants from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes) (financing code 001) during the conduct of the study.

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.

Protection of Human and Animal Subjects

None.




Publication History

Received: 02 December 2020

Accepted: 09 March 2021

Publication Date:
14 April 2021 (online)

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