Education 4.0 In healthcare: How can artificial intelligence help clinical reasoning?

Introduction: Artificial Intelligence (AI) can develop software and systems capable of performing functions that normally require human skills. Its integration with the health field brings numerous optimizations to medical practice. However, it is crucial to ensure that AI does not replace the clinical judgment of the professional because, despite promising advances, challenges and ethical issues arise that need to be widely discussed. Objective: To investigate the use of AI to improve clinical reasoning, highlighting advantages, challenges and ethical implications. Methodology: This integrative literature review searched the following databases: PubMed, LILACS, SciELO, Cochrane Library and Google Scholar, using the descriptors “Artificial Intelligence” AND “Clinical Reasoning”. Publications from 2019 to 2024 in Portuguese and English were included, and 19 articles were selected for the study. Results and discussion: Clinicians have a positive perception of AI in medical practice even though significant challenges remain, such as the integration of clinical reasoning, data protection, unequal access and ethical issues. Despite this, AI has transformative potential, highlighting the urgent need to develop specific discussions, protocols and legislation to ensure its safe and effective use in healthcare. Conclusion: AI should be used as a complementary tool in medical practice, broadening the clinical and objective view, but without replacing the subjectivity of the doctor-patient relationship. Its innovative capacity is crucial for the advancement of health, as long as it respects and preserves the human function in the clinical process.

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Publication Details

Journal
International Journal of Science and Research Archive
Published
2024-12-29
DOI
https://doi.org/10.30574/ijsra.2024.13.2.2558
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Education 4.0 In healthcare: How can artificial intelligence help clinical reasoning?

J.D. Martín Ramos, Adriana Melo, L. Lopes, Carolina Fátima Gioia Nava et al.
International Journal of Science and Research Archive
Artificial Intelligence in Healthcare and Education
article

Education 4.0 In healthcare: How can artificial intelligence help clinical reasoning?

J.D. Martín Ramos, Adriana Melo, L. Lopes, Carolina Fátima Gioia Nava, DENIS AGUIAR DE SOUZA FILHO, Mariana Silva
article en

Abstract

Introduction: Artificial Intelligence (AI) can develop software and systems capable of performing functions that normally require human skills. Its integration with the health field brings numerous optimizations to medical practice. However, it is crucial to ensure that AI does not replace the clinical judgment of the professional because, despite promising advances, challenges and ethical issues arise that need to be widely discussed. Objective: To investigate the use of AI to improve clinical reasoning, highlighting advantages, challenges and ethical implications. Methodology: This integrative literature review searched the following databases: PubMed, LILACS, SciELO, Cochrane Library and Google Scholar, using the descriptors “Artificial Intelligence” AND “Clinical Reasoning”. Publications from 2019 to 2024 in Portuguese and English were included, and 19 articles were selected for the study. Results and discussion: Clinicians have a positive perception of AI in medical practice even though significant challenges remain, such as the integration of clinical reasoning, data protection, unequal access and ethical issues. Despite this, AI has transformative potential, highlighting the urgent need to develop specific discussions, protocols and legislation to ensure its safe and effective use in healthcare. Conclusion: AI should be used as a complementary tool in medical practice, broadening the clinical and objective view, but without replacing the subjectivity of the doctor-patient relationship. Its innovative capacity is crucial for the advancement of health, as long as it respects and preserves the human function in the clinical process.

International Journal of Science and Research ArchiveVol. 13(2)
Quality Education
Openalex Percentile: Top 82%
Artificial Intelligence in Healthcare and Education
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