FROM LEGACY TO DIGITAL: HOW AI AND CLOUD COMPUTING IS CHANGING HEALTH INSURANCE
Authors/Creators
Description
Significant changes start to occur in the health insurance industry as the main usage of thus AI and cloud
computing has moved away from particular legacy systems. Previously, insurance companies and other
organizations used traditional, paper-based methods most likely to experience issues associated with increases in
claim numbers, emissions, and customer complaints in the claims, underwriting, and customer service
management process. These problems have however been addressed by AI and cloud computing through factors
such as automation of workflow, simplification of processes and enhanced evaluation. Using AI and, in particular,
machine learning, insurers can process a significant amount of information and make correct conclusions in the
shortest possible time (Snyder, 2020). Due to its elastic nature, health insurance firms can host voluminous
information and make it available in real time for both insurers and customers which enhances service provision
(Jones, 2021).
The use of AI and cloud solutions is changing personalization of insurance services in the healthcare segment.
When applied in insurance, AI-driven PA provides the insurer an insight into individual risk propensities, thereby
increasing the formulation of insurance products that fit specific niche markets (Smith & Taylor, 2020). Also,
some of the benefits of AI in customer interaction include quick responses to questions as well as a decrease in
time to answer customer questions and an easier method of handling claims (Kumar, 2019). Finally, the social
continuity of cloud computing also increases operational efficiency because it supports cooperative working
among diverse healthcare platforms. It thus facilitates proper relations between the service providers as well as
insurers so as to address the claims in the right manner and at the same time enhancing the provision of suitable
services to the clients.
All the same, the conversion to the use of such methods come with certain difficulties especially in relation to
data privacy. Since health insurers deal with personal information their customers provide them, they have to
follow legislation like the HIPAA, and compliance is still important (Meyer, 2020). That is why the advancements
such as AI and cloud computing should be made together with proper security features that will protect from
attacks and intrusions. However, it is well understood that such technologies would help in enhancing operational
efficiency, customer satisfaction and making data driven decision making. The consideration of the health
insurance industry is known to currently integrate AI and cloud computing to establish even more personalized,
efficient, and customer-serving services , shifting from the inflexible and dated systems
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Additional details
Dates
- Available
-
2023-05-25
Software
References
- Goodman, D. (2019). Data Privacy and Security in Health Insurance: Navigating Legal Challenges. Journal of Health Information Privacy, 15(3), 234-245
- Kumar, P. (2019). Artificial Intelligence in Health Insurance: A New Era of Risk Management. Health Insurance Innovation Review, 7(4), 112-125.
- Smith, A., & Taylor, B. (2020). The Role of Cloud Computing in Digital Health Transformation. Journal of Health Technology and Informatics, 8(1), 56-67.