Applications of Artificial Intelligence and the Challenges in Health Technology Assessment: A Scoping Review and Framework with a Focus on Economic Dimensions
Health Economics Review, 2025Cited by 9
Publications
Artificial Intelligence Applications in Health Insurances: A Scoping Review
Cost Effectiveness and Resource Allocation, 6 October 2025
Abstract
This scoping review examines literature published between 2000 and 2024 on the application of artificial intelligence in health insurance, searching PubMed, Scopus and Web of Science. AI presents numerous opportunities in health insurance, including agenda setting, financial management, fraud detection, monitoring, diagnostics, risk management and value creation, alongside ethical challenges that must be addressed for effective implementation. Policies should prioritise the protection of personal health data, address ethical concerns, and ensure robust data privacy and security.
In short
A review of where artificial intelligence is actually being used in health insurance — from fraud detection to risk selection — and the data-protection and ethical constraints that shape what can be deployed.
Cite this paper
@article{ramezani2025artificial,
title = {{Artificial Intelligence Applications in Health Insurances: A Scoping Review}},
author = {Maryam Ramezani and Ahad Bakhtiari and Mohammadreza Mobinizadeh and Rajabali Daroudi and Hamid R. Rabiee and Alireza Olyaeemanesh and Ali Akbar Fazaeli and Hakimeh Mostafavi and Saharnaz Sazgarnejad and Sanaz Bordbar and Amirhossein Takian},
journal = {Cost Effectiveness and Resource Allocation},
year = {2025},
doi = {10.1186/s12962-025-00640-w},
url = {https://resource-allocation.biomedcentral.com/articles/10.1186/s12962-025-00640-w}
}