PERCEPTION OF CLINICAL RESEARCH PROFESSIONALS IN THE AMAZON REGARDING THE USE OF ARTIFICIAL INTELLIGENCE: AN INTEGRATIVE LITERATURE REVIEW
 
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Universidade Federal do Pará, Belém, Brasil
 
 
Popul. Med. 2026;8(Supplement Supplement 1):
 
ABSTRACT
INTRODUCTION:
Artificial intelligence (AI) has promoted significant advancements in the healthcare field, especially in clinical research, and has been expanding, particularly in strategically important regions such as the Amazon.

OBJECTIVE:
To conduct an integrative literature review in order to understand the perception of clinical research professionals in the Amazon regarding the use of AI.

METHODS:
This is an integrative literature review of scientific publications that address the perception of clinical research professionals in the Amazon and the use of artificial intelligence. The studies were searched in the journal portals of the Coordination for the Improvement of Higher Education Personnel (CAPES) and the Scientific Electronic Library Online (SCIELO).

RESULTS:
Thirteen (13) articles were selected for full reading, meeting the following criteria: full-text scientific articles available free of charge, published in the last ten years (2014 to 2024), written in Portuguese, and of national origin. The integrative literature review technique was used with both quantitative and qualitative approaches. When characterizing the studies, it was observed that the majority were published between 2021 and 2024.

CONCLUSIONS:
The selected studies reveal varied perceptions of the use of artificial intelligence by clinical research professionals in the Amazon: while some recognize AI's potential to optimize processes and improve data accuracy, there are concerns about ethics, privacy, and data confidentiality. This reveals that professionals perceive artificial intelligence in a limited and ambiguous manner. The analyzed studies also highlighted the scarcity of scientific publications on this topic in the Amazon region, as well as the importance of reflecting on the relationship between clinical research professionals and artificial intelligence in this context, with no previous scientific literature found on the subject.
eISSN:2654-1459
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