The Impact of Inaccurate Medical Coding on Insurance Claims and How to Prevent It


Glance Team

Glance Team

5 min read

Feb 24, 2025

The Impact of Inaccurate Medical Coding on Insurance Claims and How to Prevent It

Accurate medical coding is the backbone of efficient healthcare billing and insurance claim processes. When done correctly, it ensures timely reimbursements and smooth operations. However, inaccuracies in medical coding can lead to claim rejections, delayed payments, and even compliance issues. With the recent Council of Health Insurance (CHI) Clinical Coding Audit Mandate, healthcare providers in Saudi Arabia must now prioritize compliance and accuracy more than ever.

Let us navigate the repercussions of inaccurate coding and explore actionable strategies healthcare providers can adopt to minimize errors.

1. Why Accurate Coding Matters

The prevalence of inaccurate medical coding in Saudi Arabia’s healthcare facilities leads to high rates of insurance claim rejections. This not only disrupts revenue streams but also increases administrative burdens and affects patient satisfaction. Addressing this issue is crucial for enhancing the financial stability and overall efficiency of healthcare providers in the region.

1.1 The Consequences of Inaccurate Medical Coding

  1. Claim Rejections and Denials
    Insurance companies often reject claims due to coding errors, such as incorrect diagnosis codes or mismatched procedure codes. This disrupts revenue flow and increases administrative workloads as staff must resubmit corrected claims.
  2. Revenue Leakage
    Inaccurate coding can result in underpayments or missed reimbursements, causing financial strain on healthcare organizations. Even minor errors, if recurring, can lead to significant revenue losses over time.
  3. Compliance Risks
    Errors in coding may result in audits, penalties, or fines. Non-compliance with national coding standards such as ICD-10-AM and SBS, SFDA (GTIN, GMDN) codes can tarnish an organization’s reputation.
  4. Patient Dissatisfaction
    When claims are rejected, patients may face delays in receiving treatment or unexpected medical bills, leading to reduced trust in the healthcare provider.

2. Financial Implications

  • Revenue Losses: High claim rejection rates translate to significant financial setbacks for healthcare providers in Saudi Arabia, with annual losses estimated to be around 9 billion SAR. Beyond monetary losses, frequent claim rejections require additional administrative resources to address, which increases operational costs and delays revenue cycles. These inefficiencies also divert focus from patient care, highlighting the broader impact of inaccurate medical coding on both financial and operational performance.
  • Compensation Costs: The Saudi Medical Journal highlights the financial impact of inaccurate medical coding, particularly under Islamic Sharia law. In cases of malpractice, death claims can result in compensation up to SAR 300,000 in Diyah. For injuries, or Arsh, payments are based on the severity and typically do not reach Diyah levels. Coding errors that lead to compensation can increase operational costs. Around 90.5% of compensations stay under SAR 500,000. By ensuring accurate coding, these financial burdens can be reduced, helping to manage costs and streamline the claims process.

Source: Council of Health Insurance (CHI), Saudi Arabia – Workshop Projects Planner

Certification, Grading & Validity of the CHI Coding Audit in Saudi Arabia, which determines how healthcare providers (HCPs) are assessed and certified based on their medical coding audit scores.

3. CHI Clinical Coding Audit Mandate: Strengthening Compliance and Accuracy

The Council of Health Insurance (CHI) in Saudi Arabia has introduced a structured Clinical Coding Audit Mandate as part of its healthcare quality assurance framework. This mandate is designed to improve coding accuracy, reduce claim rejections, and ensure compliance with national coding standards, ultimately enhancing the financial and operational stability of healthcare providers.

  • Internal Audit Workflow: A systematic approach to auditing medical codes, ensuring adherence to coding guidelines.
  • Audit Types: CHI mandates both annual and routine audits to validate coding accuracy.
  • Governance: Establishment of committees to oversee documentation, audit planning, data governance, and compliance.
  • Coding Audit Process: Evaluation of coding accuracy, completeness, and clinical coding policies.
  • Error Tables and Scoring System: Classification of errors based on severity and impact on claim approvals.

3.1 CHI Clinical Coding Audit Requirements and Methodology

The CHI mandates a structured approach to clinical coding audits, focusing on standardization, error classification, and governance to improve compliance. Key elements include:

  • Coder Thresholds: Coders are assessed based on training and experience, with accuracy thresholds set very high.
  • Error Classification: Errors are categorized into accuracy and completeness errors, further classified into minor, moderate, and major.
  • Audit Process: Clinical documentation is reviewed against coding accuracy, with penalties applied for inconsistencies.
  • Appeals Process: A standardized rebuttal process within 30 days ensures fairness in dispute resolution.
  • Certification Requirements: Hospitals must meet CHI audit scores for accreditation.

This presents Key Performance Indicators (KPIs) for Medical Coding Accuracy as part of the Council of Health Insurance (CHI) Clinical Coding Audit Mandate in Saudi Arabia. These KPIs help healthcare providers assess and improve the accuracy, compliance, and efficiency of medical coding, ultimately reducing claim rejections and financial losses.

3.3 Understanding the CHI Audit Matrix in Medical Coding

The CHI Audit Matrix is a structured framework used by the Council of Health Insurance (CHI) in Saudi Arabia to evaluate the accuracy and efficiency of medical coding practices in healthcare facilities. This matrix assesses coding compliance and identifies areas for improvement, ensuring accurate insurance claims processing and reducing claim rejections.

3.4 Why Is the CHI Audit Matrix Important?

  • Ensures compliance with Saudi Arabia’s health insurance regulations.
  • Reduces claim rejections, preventing revenue loss.
  • Enhances financial sustainability of healthcare providers.
  • Improves data accuracy for healthcare analytics and decision-making.
  • Supports hospital certification and accreditation under CHI guidelines.

This matrix is crucial for ensuring financial integrity, minimizing coding errors, and maintaining high documentation standards in the Saudi healthcare system.

4. Common Causes of Medical Coding Errors

  1. Insufficient Training
    Coders lacking proper training or certification, such as the Certified Coding Specialist (CCS) credential, are more prone to errors.
  2. Manual Data Entry Mistakes
    Errors often occur when coding relies on manual processes, such as copying and pasting information or transcribing handwritten notes.
  3. Ambiguous Documentation
    Incomplete or unclear medical records make it difficult for coders to assign the correct codes.
  4. Frequent Updates to Coding Standards
    Keeping up with changes to ICD-10-AM and SBS codes can be challenging, especially without robust systems in place.

4.1 Strategies to Prevent Medical Coding Errors

5. Compliance Standards and Their Importance

Adhering to coding standards such as ICD-10-AM codes is crucial for ensuring accurate claims processing and regulatory compliance. In Saudi Arabia, failure to comply with these standards can result in penalties, audits, and reputational damage. Organizations must stay updated with national requirements and integrate systems that simplify compliance.

Patient-Centric Impacts

Inaccurate coding not only affects finances but also disrupts patient care. Rejected claims can delay treatments, increase out-of-pocket expenses, and erode trust in healthcare providers. Addressing coding issues directly improves patient satisfaction and loyalty.

Medical coding is evolving with advancements in AI and machine learning. These technologies can:

  • Automate error detection and correction.
  • Provide predictive analytics for proactive decision-making.
  • Simplify compliance with constantly updated standards.

In Saudi Arabia, these innovations are becoming indispensable as the healthcare sector seeks to optimize workflows and enhance patient care.

6. Glance Solutions for Enhancing Coding Accuracy

To address the challenges of inaccurate medical coding, Glance offers a suite of advanced tools that work together to improve coding accuracy, reduce claim rejections, and optimize operational efficiency:

  • CodeAudit: Automatically detects clinical coding errors, ensures compliance with national standards, and reduces administrative burdens, enabling healthcare teams to focus more on patient care.
  • Moramiz: Provides actionable recommendations through standardized coding, minimizing claim rejections and underpayments while streamlining operational workflows.
  • Glance Insight: Leverages predictive analytics to identify patterns of errors and proactively resolve coding challenges, enhancing overall accuracy and efficiency.

These tools, powered by cutting-edge technology, not only improve compliance and reduce financial losses but also allow healthcare providers to dedicate more time to patient care.

7. Building a Future of Accurate Medical Coding

Inaccurate medical coding is a significant challenge that impacts both financial outcomes and patient satisfaction. By investing in certified specialists, adopting advanced automation tools, and promoting continuous training, healthcare organizations can dramatically reduce errors. Ultimately, accurate coding ensures a smoother claims process, better compliance, and improved trust among patients and payers.

Take the first step towards transforming your medical coding practices today. Explore Glance’s innovative solutions to enhance accuracy, streamline workflows, and secure better outcomes for your organization and patients.

References

  1. https://na.vision2030.gov.sa/en/explore/programs/national-transformation-program

  2. https://www.vision2030.gov.sa/en/explore/programs/health-sector-transformation-program

  3. https://www.moh.gov.sa/en/Ministry/Statistics/Indicator/Documents/Report-Health-Expenditure-and-Insurance.pdf

  4. https://smj.org.sa/content/smj/39/11/1075.full.pdf


Glance Team

Glance Team

5 min read

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