Ethical and Policy Challenges in Implementing Artificial Intelligence in Health Care System

Artificial intelligence, as an advanced and emerging technology, has brought about significant transformations in healthcare in recent years. By leveraging complex algorithms and big data analytics, this technology facilitates improved diagnostic accuracy, predictive disease modeling, and personalized treatment approaches. This paper explores various applications of artificial intelligence within healthcare systems, including disease diagnosis and treatment, resource management, and enhancement of patient care. Additionally, the study analyzes challenges related to the adoption of AI technologies such as ethical concerns, patient privacy protection, and technical and infrastructural limitations. The importance of developing effective policies and standards, training specialized human resources, and increasing the acceptance of novel technologies within the healthcare community are also highlighted as essential prerequisites for successful implementation. The findings demonstrate that with proper management of associated challenges and optimal utilization, artificial intelligence can serve as a transformative force, fostering new prospects for improving healthcare quality and community health outcomes.

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Publication Details

Journal
Iranian Journal of Diabetes and Metabolism
Published
2026-11-01
DOI
https://doi.org/10.18502/ijdl.v26i4.23121
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Ethical and Policy Challenges in Implementing Artificial Intelligence in Health Care System

Bagher A. Larijani, Shekoufeh Nikfar, Negar Sarhangi, Mandana Hasanzad et al.
2 links
Iranian Journal of Diabetes and Metabolism
Artificial Intelligence in Healthcare and Education
article

Ethical and Policy Challenges in Implementing Artificial Intelligence in Health Care System

Bagher A. Larijani, Shekoufeh Nikfar, Negar Sarhangi, Mandana Hasanzad, Sara Ramezani, Hamid Reza Namazi, Shabnam Salehizadeh
article en

Abstract

Artificial intelligence, as an advanced and emerging technology, has brought about significant transformations in healthcare in recent years. By leveraging complex algorithms and big data analytics, this technology facilitates improved diagnostic accuracy, predictive disease modeling, and personalized treatment approaches. This paper explores various applications of artificial intelligence within healthcare systems, including disease diagnosis and treatment, resource management, and enhancement of patient care. Additionally, the study analyzes challenges related to the adoption of AI technologies such as ethical concerns, patient privacy protection, and technical and infrastructural limitations. The importance of developing effective policies and standards, training specialized human resources, and increasing the acceptance of novel technologies within the healthcare community are also highlighted as essential prerequisites for successful implementation. The findings demonstrate that with proper management of associated challenges and optimal utilization, artificial intelligence can serve as a transformative force, fostering new prospects for improving healthcare quality and community health outcomes.

Iranian Journal of Diabetes and Metabolism
Islamic Azad University Medical Branch of Tehran (IR), Endocrinology and Metabolism Clinical Sciences Institute (IR), Personalized Medicine Research Center (IR), Tehran University of Medical Sciences (IR)
Good health and well-being
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
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