Leveraging Natural Language Processing for Mhealth Development: A Component-Based Approach Using Nursing Taxonomies

This paper proposes the definition of core components of the healthcare domain that can be used as basic building blocks for the development of mHealth applications. Using Natural Language Processing techniques, we systematically analyze all health interventions defined in the Nursing Interventions Classification taxonomy to define a comprehensive set of basic components. Our results show that it is feasible to define a finite set of core components from the nursing domain language that can be further composed into health care plans thus establishing a foundation for developing mHealth solutions with reduced technical effort.

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Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/cbms65348.2025.00084
Primary Topic
Nursing Diagnosis and Documentation
Type
article
Field-Weighted Citation Impact
0.00

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article

Leveraging Natural Language Processing for Mhealth Development: A Component-Based Approach Using Nursing Taxonomies

William Niemiec, Anderson Rocha Tavares, Érika Cota
Nursing Diagnosis and Documentation
article

Leveraging Natural Language Processing for Mhealth Development: A Component-Based Approach Using Nursing Taxonomies

William Niemiec, Anderson Rocha Tavares, Érika Cota
article en

Abstract

This paper proposes the definition of core components of the healthcare domain that can be used as basic building blocks for the development of mHealth applications. Using Natural Language Processing techniques, we systematically analyze all health interventions defined in the Nursing Interventions Classification taxonomy to define a comprehensive set of basic components. Our results show that it is feasible to define a finite set of core components from the nursing domain language that can be further composed into health care plans thus establishing a foundation for developing mHealth solutions with reduced technical effort.

Universidade Federal do Rio Grande do Sul (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Quality Education
Openalex Percentile: Top 77%
Nursing Diagnosis and Documentation
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