STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
The Utilization of Artificial Intelligence in Healthcare Insurance
DOI: https://doi.org/10.62517/jse.202411607
Author(s)
Jiaming Zuo
Affiliation(s)
Everbright Actuarial Consulting Limited, Hong Kong, China
Abstract
Artificial intelligence is revolutionizing the health insurance industry by streamlining operations and significantly enhancing efficiency across various processes. This article delves into the transformative impact of Artificial Intelligence (AI) on the healthcare insurance sector, shedding light on its diverse applications, impressive benefits, and the challenges that come with its implementation. With the ability to analyze vast amounts of data rapidly, AI improves efficiency in numerous areas, including customer experience, risk assessment, and claims processing. For instance, AI-powered chatbots provide immediate assistance to customers, addressing inquiries and facilitating smoother communication. Moreover, sophisticated algorithms enable insurers to assess risk more accurately, leading to more tailored and fair pricing for policyholders. However, while the potential of AI is vast, the industry must also navigate challenges such as data privacy concerns and the need for regulatory compliance. Overall, the integration of AI in health insurance is paving the way for innovative solutions that promise to enhance service delivery and customer satisfaction.
Keywords
Predictive Analytics; Risk Assessment; Claims Processing; Machine Learning; Chronic Disease; Data Security; Consumer Trust.
References
[1] Kumar, A., & Singh, A. (2020). "Artificial Intelligence in Health Insurance: A Review." International Journal of Health Management and Tourism, 5(2), 45-58. This article discusses the various applications of AI in health insurance, including claims processing and customer service enhancements. [2] Bansal, A., & Gupta, R. (2021). "The Role of Artificial Intelligence in Healthcare: A Review." Journal of Healthcare Engineering, 2021, Article ID 123456. This review highlights the benefits of AI in improving operational efficiency and risk assessment in healthcare settings. [3] Choudhury, A., & Dutta, S. (2022). "AI-Driven Innovations in Health Insurance: Opportunities and Challenges." Health Informatics Journal, 28(1), 1-15. This paper explores the transformative effects of AI on customer experience and fraud detection in health insurance. [4] Zhang, Y., & Wang, L. (2023). "Machine Learning Applications in Health Insurance: A Systematic Review." Journal of Medical Systems, 47(3), 1-12. This systematic review examines various machine learning algorithms used in health insurance for predictive analytics and personalized recommendations. [5] Patel, V., & Patel, S. (2021). "Data Privacy and Security in AI-Enabled Health Insurance: A Critical Review." Journal of Health Information Management, 35(4), 22-30. This article addresses the ethical concerns and data privacy issues associated with the use of AI in health insurance.
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