Objective: Developing a mobile application for the teaching of the International Classification for Nursing Practice.
Methods: Methodological applied research for technological production, performed in three phases of the contextualized instructional design model: analysis, design and development.
Results: The application has an initial screen, which provides information about the team and its purpose. Then, four moblets are listed, including presentation, user's guide consisting of five modules, educational games and five clinical cases. The references on which the application was based are also presented.
Final Considerations: It was possible to develop an application with the potential to promote the knowledge of nursing students and professionals about this classification system.
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http://dx.doi.org/10.1590/0034-7167-2018-0751 | DOI Listing |
JMIR Res Protoc
January 2025
Data and Web Science Group, School of Business Informatics and Mathematics, University of Manneim, Mannheim, Germany.
Background: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are increasingly integrated into various applications, including mental health support. However, the credibility of LLMs in providing reliable and explainable mental health information and support remains underexplored.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Background: Mental health concerns have become increasingly prevalent; however, care remains inaccessible to many. While digital mental health interventions offer a promising solution, self-help and even coached apps have not fully addressed the challenge. There is now a growing interest in hybrid, or blended, care approaches that use apps as tools to augment, rather than to entirely guide, care.
View Article and Find Full Text PDFDatabase (Oxford)
January 2025
Research and Development Centre, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, ON CA K1A 0C6, Canada.
It is well-known that the use of vocabulary in phenotype treatments is often inconsistent. An earlier survey of biologists who create or use phenotypic characters revealed that this lack of standardization leads to ambiguities, frustrating both the consumers and producers of phenotypic data. Such ambiguities are challenging for biologists, and more so for Artificial Intelligence, to resolve.
View Article and Find Full Text PDFCien Saude Colet
January 2025
Departamento de Medicina Preventiva, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP). R. Botucatu 740, Vila Clementino. 04023-062 São Paulo SP Brasil.
This study aims to analyze the use of the WhatsApp® application in health management, work process, and care in coping with the COVID-19 pandemic. A qualitative research was carried out by multiple case studies with semi-structured interviews with SUS managers and workers from May to November 2022. The material was transcribed and processed on ATLAS.
View Article and Find Full Text PDFPLoS One
January 2025
European IPF/ILD Registry and Biobank (eurIPFreg/bank, eurILDreg/bank), Giessen, Germany.
Background And Aims: Predicting progression and prognosis in Interstitial Lung Diseases (ILD), especially Idiopathic Pulmonary Fibrosis (IPF) and Progressive Pulmonary Fibrosis (PPF), remains a challenge. Integrating patient-centered measurements is essential for earlier and safer detection of disease progression. Home monitoring through e-health technologies, such as spirometry and oximetry connected to smartphone applications, holds promise for early detection of ILD progression or acute exacerbations, enabling timely therapeutic interventions.
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