Qualitative literature review highlights benefits in efficiency and personalization in healthcare, suggesting urgent action on ethical challenges.
Introduction: artificial intelligence is transforming healthcare management by improving the efficiency and personalization of care. Therefore, the objective was to describe how artificial intelligence is integrated into healthcare management, as well as the ethical challenges that exist in its application and the administrative opportunities it offers.Method: a qualitative, descriptive and literature review type study, 30 articles were analyzed, selected by convenience sampling according to the fulfillment of eligibility criteria. The information was obtained from scientific databases such as SCOPUS, SCIELO, and PUBMED, and was organized in an Excel matrix for subsequent evaluation using the CASPe method. Development: Artificial intelligence in healthcare offers benefits such as efficiency, personalization of care and improved diagnoses. However, it faces ethical challenges such as privacy, lack of regulation and risk of dehumanization. Its implementation requires investment, a clear legal framework and an ethical approach. Conclusion: t optimizes the management of health services through data analysis and medical decision support, although its adoption presents challenges such as the absence of regulations, high costs, unequal access and ethical concerns. Therefore, it is essential to develop regulations and protocols that guarantee a fair and responsible use in its application in the quality of care.
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Mora et al. (2025) studied this question.
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