Artificial Intelligence Applications in Health Insurances: A Scoping Review

Artificial Intelligence Applications in Health Insurances: A Scoping Review Publisher

Ramezania M ; Bakhtiari A ; Mobinizadeh M ; Daroudi R ; Rabiee HR ; Olyaee Manesh A ; Fazaeli AA ; Mostafavi H ; Ramezanib M ; Sazgarnejad S ; Bordbar S ; Takian A

Source: Cost Effectiveness and Resource Allocation Published:2025

Abstract

Introduction: The rapid evolution of technology has reshaped the insurance industry, with artificial intelligence (AI) taking center stage as a key driver of innovation. This paper examines the transformative impact of AI in health insurance, focusing on its applications and potential to revolutionize the sector. Method: This scoping review examines literature published between 2000 and 2024, focusing on the application of AI in health insurance. We used relevant keywords related to artificial intelligence and health insurance to search the PubMed, Scopus, and Web of Science databases. Findings: AI presents numerous opportunities in health insurance, including contributions to shaping international and national agendas, such as aligning goals, establishing indicators, and achieving objectives, financial management, fraud detection, monitoring capabilities, diagnostics and medical innovations, private insurance applications, risk management, technical analysis, and value creation. However, there are ethical challenges that must be addressed if AI is to be effectively implemented. Conclusion: Policies for AI applications in health insurance should prioritize the protection of personal health and medical data, address ethical concerns, and ensure robust data privacy and security. Additionally, these policies should promote the use of AI to enhance customer experiences, optimize risk selection, and generate revenue for both insurers and policyholders. © 2025 Elsevier B.V., All rights reserved.

Style	Citing Format
MLA	Ramezania M, et al.. "Artificial Intelligence Applications in Health Insurances: A Scoping Review." Cost Effectiveness and Resource Allocation, vol. 23, no. 1, 2025, pp. -.
APA	Ramezania M, Bakhtiari A, Mobinizadeh M, Daroudi R, Rabiee HR, Olyaee Manesh A, Fazaeli AA, Mostafavi H, Ramezanib M, Sazgarnejad S, Bordbar S, Takian A (2025). Artificial Intelligence Applications in Health Insurances: A Scoping Review. Cost Effectiveness and Resource Allocation, 23(1), -.
Chicago	Ramezania M, Bakhtiari A, Mobinizadeh M, Daroudi R, Rabiee HR, Olyaee Manesh A, Fazaeli AA, et al.. "Artificial Intelligence Applications in Health Insurances: A Scoping Review." Cost Effectiveness and Resource Allocation 23, no. 1 (2025): -.
Harvard	Ramezania M et al. (2025) 'Artificial Intelligence Applications in Health Insurances: A Scoping Review', Cost Effectiveness and Resource Allocation, 23(1), pp. -.
Vancouver	Ramezania M, Bakhtiari A, Mobinizadeh M, Daroudi R, Rabiee HR, Olyaee Manesh A, et al.. Artificial Intelligence Applications in Health Insurances: A Scoping Review. Cost Effectiveness and Resource Allocation. 2025;23(1):-.
BibTex	@article{ author = {Ramezania M and Bakhtiari A and Mobinizadeh M and Daroudi R and Rabiee HR and Olyaee Manesh A and Fazaeli AA and Mostafavi H and Ramezanib M and Sazgarnejad S and Bordbar S and Takian A}, title = {Artificial Intelligence Applications in Health Insurances: A Scoping Review}, journal = {Cost Effectiveness and Resource Allocation}, volume = {23}, number = {1}, pages = {-}, year = {2025} }
RIS	TY - JOUR AU - Ramezania M AU - Bakhtiari A AU - Mobinizadeh M AU - Daroudi R AU - Rabiee HR AU - Olyaee Manesh A AU - Fazaeli AA AU - Mostafavi H AU - Ramezanib M AU - Sazgarnejad S AU - Bordbar S AU - Takian A TI - Artificial Intelligence Applications in Health Insurances: A Scoping Review JO - Cost Effectiveness and Resource Allocation VL - 23 IS - 1 SP - EP - PY - 2025 ER -

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Abstract