ARTIFICIAL INTELLIGENCE: PERSPECTIVE AND CHALLENGES IN PROFESSIONAL IMPLEMENTATION FOR NURSES

Authors

DOI:

https://doi.org/10.16891/2317-434X.v14.e1.a2026.id2662

Keywords:

artificial intelligence, Technology in health, Information technology, Nurses

Abstract

Objective: identify knowledge and analyze future perspectives of nurses in the face of artificial intelligence in a city in the interior of Mato Grosso. Method: Fifteen nurses participated, with a predominance of females 73%, and the most common age range was between 30 and 35 years 40%. Data were collected through questionnaires addressing technological aspects, familiarity with AI, and its application in health and nursing. Results: Most participants 94% demonstrated knowledge in information technology. Regarding AI, 60% reported familiarity, and 92% had positive experiences. Acceptance of AI in healthcare was at 40%, with 92% believing that technology could facilitate work. In nursing, 60% showed willingness to adopt AI, although 11% expressed doubts about its effectiveness. Overall perception indicated that 80% recognized benefits associated with the implementation of AI in nursing practice. Conclusion: The study reveals a growing acceptance of AI among nurses, highlighting its potential to improve the quality of care. However, there are still barriers to adoption, emphasizing the need for continuous training and technical support to effectively integrate this technology into health practices.

Author Biographies

Antônio Matheus Vieira Costa, Famp - Faculdade Morgana Potrich, Mineiros - GO, Brasil

Graduating in Nursing from Faculdade Morgana Potrich - FAMP in the city of Mineiros-Go since 2020. He served as Director Vice President of the Academic League of Urgency and Emergency of Southwest Goiano Year 2023/24. Agricultural Technician by the State Secretariat for Science, Technology and Innovation (SECITEC) / National Program for Access to Technical Education and Employment (Pronatec) of Rondonópolis with extension in Alto Araguaia - MT (Mato Grosso), from August 2017 until December 2019. 

Rulio Glecias Marçal da Silva, Famp - Faculdade Morgana Potrich, Mineiros - GO, Brasil

Nurse, Teacher and Chromotherapist. Master in Nursing from the University of Guarulhos (UNG), specialist in Intensive Care Unit from the Universidade Cidade de São Paulo-SP (UNICID), specialist in Dermatology from Universidade Gama Filho (UGF) and specialist in Teaching for Higher Education in Nursing from Nove de Julho University-SP (UNINOVE). Graduated in Nursing from the State University of Mato Grosso (2008). Member of the Research Group on Care in Adult, Elderly and Workers' Health at the Guarulhos University (UnG) and the Nursing Research Group with Phenomenological approaches at the University of São Paulo (USP). She has experience in the area of ​​Intensive, Dermatological and Home Care Nursing, working mainly on the following topics: intensive care, skin commission and Home Care, in the area of ​​Nursing Education and holistic therapies.

Cristina Honorio da Silva, Famp - Faculdade Morgana Potrich, Mineiros - GO, Brasil

Graduated with a Bachelor's degree in Nursing from Faculdade Morgana Potrich, working as a Professor at that institution; extensive experience in the area of ​​Nursing within hospital care at technical and higher levels with proven performance. Postgraduate in Classroom Management in Higher Education, Occupational Nursing; currently dedicating himself to passing the master's program in order to gain better and greater experiences in teaching and in the health area.

Dárley Domingos de Almeida, UNEMAT - Universidade do Estado de Mato Grosso, Campus de Alto Araguaia, Brasil

Master in Space Sciences and Technologies from the Technological Institute of Aeronautics (2016), Graduated in Computing from the State University of Mato Grosso (2012), Graduated in Mathematics from Centro Universitário Internacional (2019). He has experience in the area of ​​Computer Science, with an emphasis on Programming and Software Engineering, working mainly on the following topics: Data Structures, Formal Languages ​​and Automata, Software Engineering and High Performance Computing. Enthusiastic about using Artificial Intelligence to enhance the teaching-learning process and personal and professional productivity.

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Published

2026-05-17

How to Cite

Costa, A. M. V., Marçal da Silva, R. G., Silva, C. H. da, & Almeida, D. D. de. (2026). ARTIFICIAL INTELLIGENCE: PERSPECTIVE AND CHALLENGES IN PROFESSIONAL IMPLEMENTATION FOR NURSES. Revista Interfaces: Saúde, Humanas E Tecnologia, 14(1), 6518–6530. https://doi.org/10.16891/2317-434X.v14.e1.a2026.id2662

Issue

Vol. 14 No. 1 (2026):

Section

Artigos