Case study on applying risk identification and assessment framework
The practical application of health insurance risk assessment can be demonstrated through analyzing a typical critical illness (CI) insurance product in the Asia region. In this example, coverages include early-stage CI benefit, late-stage CI benefit, death benefit, multiple-pay CI benefit, and specific disease benefit – encompassing all main forms of CI product features. The risk identification and assessment framework can then be applied to conduct a comprehensive risk evaluation of the product.
Note: The color coding noted in Figure 3 is reflected in Figure 4.
Incidence risk: The misestimation risk of baseline incidence rates for early- and late-stage critical illnesses and specific diseases is generally classified as medium-low due to the availability of sufficient insured experience data. However, the misestimation risk for extrapolating into older age groups is typically categorized as medium-high or high due to both the lack of credible insured data and the fact that the mix and nature of critical illnesses change materially in the older ages. Trend risk is more concentrated in early-stage critical illnesses and some specific diseases, as they are the most vulnerable to sharp deterioration due to rapid medical advances.
Mitigation: Implement measures – such as maximum entry age and appropriate sum-assured limits – relative to age groups and among different benefit coverages.
Behavioral risk: Early‑stage CI and certain specific disease benefits face higher selection risk at issuance due to early detection advances and non‑disclosure. Selective lapse is generally moderate for CI products. Early‑stage CI claims are especially exposed to shifts in medical practice, while multiple‑pay CI products generally carry higher claim risks than single‑pay versions due to additional criteria such as condition grouping.
Mitigation: Use clear benefit definitions and disciplined product design, and regularly update underwriting and claims practices to reflect the latest medical advances.
Finally, based on qualitative identification and assessment of various risk exposures, a standardized quantitative model – such as stress testing with shock scenarios (e.g., high risk: 30%-50%, medium-high risk: 20%-40%, medium-low risk: 10%-30%) – can be used for risk quantification and aggregation. After assessing risks qualitatively and quantitatively against internal risk tolerance levels, insurers can further refine product designs and features, impose underwriting and distribution restrictions, and optimize risk transfer strategies through reinsurance if necessary.
Conclusion
Health insurance risk management is fundamental to the continued advancement of China’s insurance industry. The two-tiered framework introduced in this article – especially the bottom-up risk identification and assessment methodology – offers insurers a practical, comprehensive, and flexible tool for managing the inherent complexities of a health insurance risk tiered framework.
山重水复疑无路,柳暗花明又一村 (When one road ends in blocking rivers and mountains, another path emerges through willow shade and glowing bloom) Echoing this eight-century-old poetic Chinese optimism, we believe a new path toward long-term, sustainable growth in the China health insurance sector is emerging. RGA aspires to serve as a catalyst and partner in guiding the industry through its complex risk landscape toward a blooming success.
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