Artificial intelligence in health care management: ethical challenges, benefits and opportunities

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. Keywords: Health management; Artificial intelligence; Health services.

Authors

Institutions

Publication Details

Journal
EthAIca
Published
2025-07-19
DOI
https://doi.org/10.56294/ai2025372
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence in health care management: ethical challenges, benefits and opportunities

Jorge Leodan Cabrera Olvera, Diana Marley Sanabria Mora, Deysi Johana Sanabria Mora
EthAIca
Artificial Intelligence in Healthcare and Education
article

Artificial intelligence in health care management: ethical challenges, benefits and opportunities

Jorge Leodan Cabrera Olvera, Diana Marley Sanabria Mora, Deysi Johana Sanabria Mora
article en

Abstract

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. Keywords: Health management; Artificial intelligence; Health services.

EthAIcaVol. 4
Pontificia Universidad Católica del Ecuador (EC)
Openalex Percentile: Top 87%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Artificial intelligence in health care management: ethical challenges, benefits and opportunities — Jorge Leodan Cabrera Olvera, Diana Marley Sanabria Mora, et al. · EthAIca (2025) | TGRS Research Map | TGRS