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💻 '''Claims administration system''' is the core technology platform an [[Definition:Insurance carrier | insurance carrier]] or [[Definition:Third-party administrator (TPA) | third-party administrator]] uses to manage every stage of the [[Definition:Claim (insurance) | claims]] lifecycle — from initial intake and [[Definition:First notice of loss (FNOL) | first notice of loss]] capture through investigation, [[Definition:Loss reserve | reserving]], payment, and closure. Functioning as the operational nerve center of the [[Definition:Claims adjusting | claims operation]], the system records all file activity, enforces workflow rules, tracks financial transactions, and feeds data to [[Definition:Actuarial science | actuarial]], [[Definition:Financial reporting (insurance) | financial reporting]], and [[Definition:Regulatory compliance | regulatory]] systems. In an industry where claims handling quality directly affects profitability and reputation, the capabilities of this platform shape how efficiently and accurately losses are resolved.

⚙️ A modern claims administration system integrates multiple functional modules. Intake engines capture loss details via phone, web portal, mobile app, or electronic data feeds from [[Definition:Insurance broker | brokers]] and agents. Assignment and triage logic routes each file to the appropriate [[Definition:Claims adjuster | adjuster]] or automated decision engine based on [[Definition:Line of business | line of business]], severity indicators, and adjuster workload. Built-in reserving tools allow adjusters to set and revise [[Definition:Case reserve | case reserves]], while payment modules process [[Definition:Indemnity payment | indemnity]] disbursements and [[Definition:Loss adjustment expense (LAE) | expense]] invoices subject to configurable authority limits. Increasingly, carriers embed [[Definition:Artificial intelligence (AI) | AI]] and [[Definition:Machine learning (ML) | machine learning]] models directly into the platform to perform [[Definition:Fraud detection | fraud scoring]], estimate [[Definition:Claim cost | ultimate claim cost]], and recommend [[Definition:Subrogation | subrogation]] opportunities at the moment a file is opened. Integration with external data sources — police reports, weather services, medical bill review vendors, [[Definition:Telematics | telematics]] feeds — enriches the file automatically, reducing manual data entry.

🚀 Selecting and maintaining a claims administration system is one of the most consequential technology decisions an insurer makes. Legacy platforms — often decades-old mainframe systems — can constrain a carrier's ability to launch new products, adopt digital customer experiences, or comply with evolving [[Definition:Data privacy regulation | data privacy regulations]]. [[Definition:Insurtech | Insurtech]] vendors and cloud-native providers have entered the market with configurable, API-driven platforms that promise faster deployment and lower total cost of ownership. Migration, however, is notoriously complex: data conversion, historical file integrity, and continuity of in-flight claims demand meticulous planning. For [[Definition:Managing general agent (MGA) | MGAs]] and TPAs that handle claims on behalf of multiple carriers, the system must support multi-client configurations with segregated data and carrier-specific business rules. Ultimately, the claims administration system determines the ceiling on operational efficiency — no amount of process improvement can compensate for a platform that cannot keep pace with the business.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Claim (insurance)]]
* [[Definition:First notice of loss (FNOL)]]
* [[Definition:Core system (insurance)]]
* [[Definition:Straight-through processing (STP)]]
* [[Definition:Third-party administrator (TPA)]]
* [[Definition:Loss reserve]]
{{Div col end}}

Definition:Claims administration system - Revision history

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