Poor Data Architecture Fuels Insurer-Hospital Disputes: Subhendu Kumar Bal

• Subhendu Kumar Bal states that poor data architecture, not pricing, is the main cause of friction between insurers, hospitals, and TPAs.
• Inconsistent and fragmented health data hinders claim predictability and long-term conflict resolution in health insurance.
• Actuarial methods are limited by the quality of data; India's health insurance data is not preserved for detailed analysis.
• Unlike mature health systems with national databases, India's ecosystem is fragmented, leading to misaligned data and poor predictability.
• RBC norm implementation is progressing with QIS-1 completed and QIS-2 under evaluation, described as a "coordination process."