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📋 '''Claims accuracy''' refers to the degree to which individual claims are assessed, documented, and settled correctly throughout the [[Definition:Claims management | claims management]] lifecycle. In insurance, accuracy encompasses far more than simply paying the right dollar amount — it includes proper application of [[Definition:Policy terms and conditions | policy terms]], correct identification of [[Definition:Coverage | coverage]] and [[Definition:Exclusion | exclusions]], appropriate [[Definition:Reserving | reserve]] estimation, accurate coding for regulatory and statistical reporting, and consistent adherence to the insurer's [[Definition:Claims handling guidelines | claims handling guidelines]]. A claim that is paid promptly but coded to the wrong line of business, or settled generously but outside the scope of the policy wording, still represents an accuracy failure.

🔍 Insurers measure claims accuracy through structured [[Definition:Claims audit | claims audits]] — both internal reviews and external examinations conducted by regulators or [[Definition:Reinsurance | reinsurers]]. These audits typically evaluate a random or stratified sample of closed and open files against a detailed scorecard covering areas such as liability determination, [[Definition:Quantum | quantum]] assessment, documentation completeness, regulatory compliance, and timeliness of key decisions. In delegated authority arrangements, [[Definition:Managing general agent (MGA) | MGAs]] and [[Definition:Third-party administrator (TPA) | TPAs]] are frequently subject to claims accuracy audits by their capacity providers, with contractual remedies — including potential termination of the [[Definition:Binding authority agreement | binding authority agreement]] — triggered when accuracy scores fall below agreed thresholds. Increasingly, [[Definition:Artificial intelligence (AI) | AI]]-powered tools assist in real-time accuracy monitoring by flagging anomalies in reserve movements, payment patterns, or adjuster decision-making before files are closed.

💡 Sustained claims accuracy directly affects an insurer's financial health, regulatory standing, and market reputation. Inaccurate claims handling distorts [[Definition:Loss ratio | loss ratios]] and [[Definition:Loss reserve | reserve]] adequacy, which in turn undermines [[Definition:Actuarial analysis | actuarial]] pricing models and can lead to mispriced [[Definition:Insurance product | products]] in future underwriting cycles. Regulators across major markets — from the [[Definition:National Association of Insurance Commissioners (NAIC) | NAIC]] in the United States to the [[Definition:Prudential Regulation Authority (PRA) | PRA]] and [[Definition:Financial Conduct Authority (FCA) | FCA]] in the UK — treat poor claims accuracy as both a solvency concern and a conduct risk, particularly when it results in systematic underpayment or denial of legitimate claims. For policyholders, accuracy is inseparable from trust: an insurer that consistently gets claims right earns the retention and referral benefits that no marketing spend can replicate.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Claims management]]
* [[Definition:Claims audit]]
* [[Definition:Loss reserving]]
* [[Definition:Third-party administrator (TPA)]]
* [[Definition:Claims leakage]]
* [[Definition:Quality assurance]]
{{Div col end}}

Definition:Claims accuracy - Revision history

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