Insurance Claims Audit: Its Important Role and How to Prevent Fraud

Insurance claims audit

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AI can't replace auditors, but it can accelerate the detection of claims anomalies. Insurance claims audits using automation technology can analyze millions of transactions and identify suspicious patterns in seconds, freeing up auditors for in-depth investigations.
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Insurance claims audit

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The OJK estimates that around 5% of total health insurance claims in Indonesia are fraudulent, ranging from fake documents to misuse of the insured's identity.

These figures demonstrate how vital insurance claims audits are as a company's line of defense in maintaining the integrity of the claims process and protecting business margins from losses due to fraud.

This article discusses the urgency of claims audits, common types of fraud, the role of internal audit, how to detect fraud, and the challenges faced by insurance companies.

Why is Insurance Claim Audit Important for Companies?

Insurance claims audits are important because the claims process is the most vulnerable point for exploitation by parties seeking to gain illegal profits from insurance companies.

Without adequate auditing, claims fraud can go undetected for years, eroding a company's claims ratio and ultimately forcing premium increases across all customers.

The ratio of health insurance claims continues to increase, driven by medical inflation and overutilization healthcare services, making companies increasingly dependent on rigorous claims audits to maintain business continuity.

Understanding Insurance Fraud and Its Impact

Insurance fraud is a deliberate act by the insured or a third party to obtain benefits from the insurance company to which they are not entitled. Insurance claims audits help identify this type of fraud through concealment of material facts or fabricated claims.

Common methods found include false death claims, falsified medical documents, the use of false witnesses, and collaboration with medical personnel or marketing agents to pass off fictitious claims.

The impact isn't just financial. The Financial Services Authority (OJK) has documented a case of claims manipulation involving fake deaths worth Rp 15 billion, demonstrating the scale of the losses a single fraud case can cause a company.

The Strategic Role of Internal Claims Audit in the Insurance Ecosystem

Insurance Claim Audit

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Through the scheme operational audit, insurance claims audits act as an independent layer of verification that ensures each claim is processed according to procedure before funds are disbursed to the applicant.

OJK Regulation Number 12 of 2024 concerning the Implementation of Anti-Fraud Strategies for Financial Services Institutions requires insurance companies to implement four pillars: prevention, detection, investigation, and monitoring and evaluation.

In addition to internal functions, the industry also leverages cross-company collaboration through AAUI Checking, a screening mechanism that generates a negative list of insureds with suspicious claims histories.

How to Detect Insurance Claim Fraud Effectively

Detecting insurance claim fraud requires a combination of data approaches, field verification, and technological support so that fraud gaps can be discovered early.

Analysis of Data Anomalies and Claim Submission Patterns

In insurance claims audits, auditor check for unusual claim frequency, repeated or duplicate claims, and medical treatment costs that differ significantly from normal patterns for similar conditions.

The discrepancy between the diagnosis and the action or medication given is also a parameter. Key Risk Indicator (KRI) which is important, especially when the pattern is repeated between the insured and a particular service provider.

Field Verification and Physical Document Inspection

Field verification is still required for high-value or suspicious claims, including direct confirmation with the hospital, repair shop, or location of the incident that forms the basis of the claim.

Physical document inspection helps ensure the authenticity of certificates, receipts, and other supporting evidence that are vulnerable to forgery in fraud schemes. Also read: What is audit Fraud? Definition, types of fraud, and Prevention

Utilization of Automation and AI Technology in Audit

AI technology can provide signs or flag automatically when a suspicious transaction pattern is found, functions as early warning system to determine which claims require further investigation.

It is important to note, flagging from the AI ​​system does not mean that the insured or service provider is automatically declared to have committed fraud, but rather it is the basis for the auditor to carry out more in-depth verification.

Key Challenges in Implementing Insurance Claim Audits

Some of the challenges companies often face in conducting claims audits effectively:

  • The high volume of claims makes manual verification of all submissions unrealistic.
  • Unstandardized data quality makes cross-system anomaly analysis difficult.
  • Collusion between the insured and service providers is difficult to detect from administrative data alone.
  • Different levels of technology infrastructure readiness across companies impact detection effectiveness.
  • Auditor resource constraints compared to the annual growth in claims volume

Effective Steps to Strengthen Internal Oversight of Fraud Risks

Strengthening internal oversight through insurance claims audits requires a combination of mutually supportive policies, human resources, and systems, rather than relying solely on a single layer of control.

  • Develop a written anti-fraud policy that covers four pillars in accordance with regulatory provisions.
  • Establish a confidential reporting channel for employees or external parties who discover indications of fraud.
  • Train audit teams regularly on the latest fraud modes in the insurance industry.
  • Integrate claims data with a technology-based anomaly detection system
  • Conduct periodic evaluations of the effectiveness of existing anti-fraud policies.

Conclusion

Insurance claim fraud continues to evolve in its methods, requiring a monitoring system capable of detecting anomalies early without hindering the legitimate claims process for customers.

Audithink helps insurance companies' internal audit teams manage planning, verification, documentation of findings, and follow-up of claims investigations in one structured platform.

Schedule demo Audithink and see how this system can support insurance claims monitoring in your company.

FAQ

What are the categories that make an insurance claim called fraud?

A claim is categorized as fraud if the insured conceals material facts or the claim is deliberately engineered so that the value does not correspond to the actual conditions.

What percentage of insurance claims are suspected of being fraud in Indonesia?

The OJK estimates that around 5% of total health insurance claims in Indonesia are fraudulent, including the misuse of false documents or the insured's identity.

What is AAUI Checking?

AAUI Checking is an inspection mechanism from the Indonesian General Insurance Association that produces a negative list of insured persons, workshops, clinics, hospitals, or agents with suspicious claim histories.

Can AI completely replace auditors in fraud detection?

No. AI serves as an early warning system that flags suspicious claims, while final decisions still require verification and investigation by human auditors.

What is the legal basis for the obligation of anti-fraud strategies for insurance companies?

The legal basis is POJK Number 12 of 2024 concerning the Implementation of Anti-Fraud Strategies for Financial Services Institutions, which requires the implementation of four pillars: prevention, detection, investigation, and monitoring and evaluation.

Find out how the implementation of the audit application can have a positive impact on the company on an ongoing basis.

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