Case study
The practical application of health insurance risk management can be examined through a typical critical illness (CI) insurance product in the Asia-Pacific region.
In this example, coverages include an early-stage CI benefit, late-stage CI benefit, death benefit, multiple CI benefit, and specific disease benefit, encompassing the main forms of CI products.
Next, apply the risk identification and assessment framework and conduct comprehensive risk evaluation of the product.
Incidence risk: The misestimation of baseline incidence rates for early-stage critical illnesses and specific diseases is generally classified as moderately low due to the availability of sufficient experience data. However, the extrapolation risk for late-stage critical illness in older age groups is categorized as moderately high, especially for individuals aged 70 and above. The deterioration trend risk must focus on the changing patterns of early-stage critical illnesses and is typically assessed as high risk.
Mitigation: Implement measures such as limiting the maximum entry age and setting tiered coverage amounts.
Behavioral risk: If the product adopts a simplified issue approach, the adverse selection risk at the underwriting stage may reach a moderately high level, particularly for high-coverage policies. Adverse selection risk in claims is linked to the clarity of liability definitions, with multiple-pay CI products generally carrying higher claims risks than single-pay products.
Mitigation: Refine underwriting rules, introduce waiting periods, and impose survival period requirements.
Other risks: Product design risks, primarily concerning high coverage amounts and high-age entry; risk hedging and diversification, which depend on the diversity of the insured population; business structure and customer profiling, which influence risk homogeneity; and asset-liability matching, which must account for long-term payout obligations.
Finally, based on qualitative identification and assessment of various risk exposures, a standardized model – such as stress testing with impact scenarios (e.g., high risk: 30-50%, moderately high: 20-40%, moderately low: 10-30%) – can be used for risk quantification and aggregation. After assessing risks qualitatively and quantitatively against internal risk tolerance levels, the insurer can further refine product liabilities, impose portfolio restrictions, and optimize risk transfer strategies through reinsurance.
In summary, the risk management practices in this case include:
- Establishing a unified risk assessment framework to build internal consensus.
- Defining clear risk management responsibilities across departments to enable full-process control.
- Regularly consolidating risk information to identify management blind spots.
- Leveraging reinsurance for risk transfer and data support.
- Continuously refining pricing and underwriting through an experience analysis feedback mechanism.
These practices validate the effectiveness and practical applicability of the health insurance risk management framework.
Conclusion
Health insurance risk management is a critical component of the continued development of the Chinese insurance industry. The dual-layer framework constructed in this study, particularly the bottom-level design that classifies and evaluates risks across three dimensions – incidence risk, behavioral risk, and other risks – provides a systematic approach to risk management.
Moving forward, health insurance risk management should focus on the development of the senior market, striking a balance between risk control and market expansion. Leveraging multiple strategies, including data infrastructure enhancement, product innovation, mechanism optimization, and external collaboration, can elevate the overall standard of health insurance risk management.
With the implementation of the New National Ten Policies and more robust industry practices, China's health insurance risk management capabilities will continue to improve, providing a solid foundation for high-quality business development in the insurance sector.
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