AI for Insurance Claims

The claims process is a critical moment of truth for any insurer. It's an opportunity to demonstrate your commitment to your policyholders and build trust by delivering swift and accurate payouts.

However, traditional claims processing is fraught with challenges.

It entails:

Long Processing Times:

Manual tasks and complex procedures can lead to lengthy processing times, causing delays in payouts and frustrating claimants.

Increased Costs:

Manual processing requires significant human resources and administrative overhead, increasing operational costs.

Errors and Inaccuracies:

Manual data entry and subjective assessments can lead to errors and inconsistencies in claims processing.

Fraud and Abuse:

Detecting fraudulent claims can be challenging with manual methods, leading to unnecessary payouts and financial losses.

Poor Customer Experience:

Delays, errors, and lack of transparency can negatively impact the customer experience, potentially damaging the insurer's reputation.

If you continue with traditional claims processing, you're inadvertently fueling a cycle of inefficiency, rising costs, and customer dissatisfaction. Each manual step, from data entry to verification to payment processing, introduces the potential for errors, delays, and inconsistencies. This impacts your bottom line and erodes the trust and loyalty you've worked hard to build with your policyholders.

The solution?

Artificial intelligence (AI).

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Department 3: Claims Submission and Claims Adjudication

Existing Ancestral Claims Submission and Claims Adjudication Process

Problem
  • • Long Claims Adjudication and Submission.
  • • Erroneous, Unnecessary Payouts leading to increase in Net Payment.
  • • Lack of identification of outliers billing for Provider/Doctor/Patient.
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    Step 1.1

    Provider submits medical preapprovals or claims.

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    Step 2

    Policy Adjudication is performed by the adjudicator, manually or via a rule-based system.

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    Step 4

    Manual Adjudication is performed along with data entry checks

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    Step 1.1

    Provider submits medical preapprovals or claims.

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    Step 1.2

    Client/Policyholder submits life claims.

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    Step 2

    Policy Adjudication is performed by the adjudicator, manually or via a rule-based system.

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    Step 3

    Medical Adjudication is performed for medical claims. Claims authenticity is checked for medical or life claims

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    Step 4

    Manual Adjudication is performed along with data entry checks

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    Step 1.2

    Client/Policyholder submits life claims.

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    Step 3

    Medical Adjudication is performed for medical claims. Claims authenticity is checked for medical or life claims

How the claims submission and adjudication process get revolutionized with MedML?

90% Reduction in process time. Hence faster claims submission and adjudication. 10-11% Reduction in the Net Payout due to lack of identification of unnecessary billings.

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File a claim (as a policyholder or member)

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Submit Proofs

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Our Al runs intense algorithms to check claim authenticity

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If all seems good our Al will make the payment in seconds

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Otherwise, our Al allocates your case to Human Intelligence to settle your claims ASAP

AI in Insurance Claims

Artificial intelligence is transforming the way insurers handle claims, enabling a level of speed, accuracy, and personalization that was previously unimaginable. By automating routine tasks, streamlining workflows, and providing intelligent insights, AI empowers claims adjusters to work smarter, not harder, and deliver exceptional service to policyholders.

The introduction of AI into insurance claims processing has been met with a mix of excitement and apprehension. While many recognize the potential for increased efficiency and accuracy, some fear that AI will replace human jobs and lead to a loss of the personal touch that's so crucial in the claims process.

There's a concern that algorithms, however sophisticated, can't truly understand the nuances of individual circumstances or provide the empathy that claimants need during a difficult time.

However, this fear is often based on misconceptions about AI's role in claims management. The truth is that AI is not meant to replace human adjusters; it's meant to empower them. By automating routine tasks and providing data-driven insights, AI frees up adjusters to focus on the human aspects of claims: providing support, building relationships, and making nuanced decisions that require empathy and understanding.

In fact, embracing AI in claims processing is a move in the right direction for both insurers and policyholders.

For insurers, it means increased efficiency, reduced costs, and improved accuracy. For policyholders, it means faster payouts, greater transparency, and a more personalized experience.

By moving past the fear of AI and embracing its potential, the life and health insurance industry can tap into an entirely new era of customer-centric AI claims management.

Curious about how it all works?

Let's dive in.

How MedML Works: Revolutionizing Claims Processing with AI

MedML's AI-powered claims solution is designed to transform the way health and life insurers handle claims, enabling faster payouts, reducing costs, and enhancing customer satisfaction.

Here's a step-by-step look at how our platform works:

  1. Claim Received: The process begins when a policyholder or provider initiates a claim. This can be done through various channels, e.g., online portals, mobile apps, or even traditional methods like phone or mail. MedML's platform is designed to seamlessly integrate with your existing claims intake system, ensuring a smooth and efficient transition.
  2. Submit Proofs: Once the claim is initiated, the claimant is prompted to submit all necessary supporting documents. This may include medical records, bills, death certificates, or any other documentation required to validate the claim. MedML's platform provides a secure and user-friendly interface for claimants to easily upload these documents.
  3. AI-Powered Verification: Here's where MedML's AI whiz takes center stage. Our intelligent algorithms instantly analyze the submitted information, verifying policy details, checking for completeness, and flagging any potential inconsistencies or red flags. This automated verification process eliminates the need for manual reviews, significantly reducing processing time and minimizing the risk of human error.
  4. Automated Authenticity Check: MedML goes beyond basic verification by conducting an intense authenticity check. Our algorithms compare the claim against historical data, industry benchmarks, and known fraud indicators to identify any suspicious patterns or anomalies. This proactive approach helps prevent fraudulent claims and protects the insurer's financial interests.
  5. Instantaneous Payout: If the claim passes all verification and authenticity checks, MedML automatically approves the claim and processes the payment within seconds. This means policyholders receive their payouts almost instantly, enhancing their experience and building trust in the insurer.
  6. Human Expertise When Necessary: While MedML is highly efficient at processing straightforward claims, we understand that some cases require human intervention. For complex or sensitive claims, our platform seamlessly escalates the case to a human adjuster. This ensures that nuanced decisions are made with empathy and expertise, while still benefiting from the speed and efficiency of AI for the initial processing steps.

The MedML Difference

Our streamlined, AI-driven approach to claims processing offers significant advantages over traditional methods:

  • Unprecedented Speed: Settle payouts within seconds, exceeding customer expectations and setting a new standard for claims processing efficiency.
  • Enhanced Accuracy: Eliminate manual errors and ensure consistent, data-driven claims decisions.
  • Improved Fraud Detection: Proactively identify and prevent fraudulent claims, protecting your bottom line.
  • Reduced Costs: Automate tasks and streamline workflows, lowering administrative costs and optimizing resource allocation.
  • Increased Customer Satisfaction: Deliver a seamless and transparent claims experience, enhancing customer loyalty and brand reputation.

Our goal is to empower insurers to provide exceptional service to their policyholders while optimizing their operations. By embracing the power of AI, you can transform the claims process from a source of frustration into a moment of truth that strengthens customer relationships and drives business growth.

MedML in Action: Transforming Claims Processing for Health and Life Insurers

Here are three scenarios that illustrate how MedML can be used in the health and life insurance industry:

Scenario 1: A Life Insurer Streamlines Death Claims Processing

Let's say a major life insurance company receives a claim following the death of a policyholder. Traditionally, processing this claim would involve a lengthy process of verifying the death certificate, reviewing policy details, and manually assessing the claim's validity. This could take days or even weeks, causing delays in payment and adding to the beneficiary's distress.

With MedML, the process is streamlined and expedited. The beneficiary submits the claim and supporting documents through the MedML platform. MedML instantly verifies the information, checks for any red flags, and if all is in order, automatically approves and processes the claim payment within seconds.

This swift and efficient process provides much-needed financial support to the beneficiary during a difficult time, while also reducing the administrative burden on the insurer.

Scenario 2: A Health Insurer Tackles a Surge in Claims During Flu Season

A health insurer experiences a significant increase in claims during peak flu season. Their claims adjusters are overwhelmed with the volume of paperwork, leading to delays in processing and frustrated customers.

MedML steps in to alleviate the pressure. The platform automatically processes a large volume of straightforward claims, e.g., those for doctor's visits and prescription medications. AI verifies policy details, checks for inconsistencies, and approves legitimate claims for instant payment.

This frees up human adjusters to focus on more complex cases, e.g., hospitalizations or claims requiring further investigation. The result is faster processing times, reduced costs, and improved customer satisfaction.

Scenario 3: A Health Insurer Detects Fraudulent Billing

A health insurer notices a suspicious pattern of billing from a particular provider. Manually investigating this pattern would be time-consuming and resource-intensive.

MedML's AI-powered fraud detection capabilities come to the rescue. The platform analyzes the provider's billing history, comparing it against industry benchmarks and historical data. AI identifies anomalies and red flags that suggest potential fraudulent activity, e.g., unusually high billing amounts or excessive claims for certain procedures.

This information is then passed on to the insurer's special investigations unit for further review, helping to prevent fraudulent payouts and protect the insurer's financial integrity.

The Future of Claims is Here

The insurance industry is on the cusp of a significant transformation, and AI is leading the charge. By embracing AI for insurance claims, health and life insurers can unlock new levels of efficiency, accuracy, and customer satisfaction.

Whether you're looking for group insurance claims solutions or a comprehensive AI insurance claims processing platform, MedML has the tools you need to succeed in the digital age.

Don't get left behind. Embrace the future of claims management with MedML.

Contact us today to schedule a demo and discover how our AI claims management solutions can revolutionize your claims operations.