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The Powerful, Practical, and Strategic Benefits of Automation in Claims Adjusting

Manage claims quickly, enhance productivity, and enable growth and a competitive advantage.

Key Takeaways:
Automation tools, including RPA, OCR, and AI, streamline operations.
They improve productivity and efficiency and reduce errors.
Data provides a holistic view for better decision-making.
But these are more than tools: They are strategic assets that flex and grow with your firm.

In traditional insurance claims processing, there are challenges primarily caused by manual work and bottlenecks. This results in lengthy processing times, errors, and customer dissatisfaction. Automation has emerged as a solution to address these issues and streamline the claims processing workflow.

One of the main challenges in manual claims processing is the heavy reliance on paper-based documents. Another bottleneck is the manual assessment of claims. Additionally, traditional claims processing often involves complex communication among stakeholders, including claimants, insurance companies, and third-party agents. Manually coordinating these communications can be time-consuming and prone to miscommunication.

Scanner technology turns paper into electronic form. This, plus other tools such as artificial intelligence (AI), speeds up the overall claims processing time and minimizes the likelihood of errors resulting from manual data input. In this article, we’ll discuss the many areas where automation revolutionizes claim processing.

Automation in data entry and validation

Automation tools significantly reduce the time and errors associated with manual data entry. One such technology is OCR (Optical Character Recognition), which converts images of printed or handwritten documents into machine-readable text. Automation tools can extract relevant information from physical or digital claim forms.

  • OCR accelerates claim processing by eliminating the need for manual data entry. Instead of manually inputting data from paper documents, OCR accurately and efficiently extracts data. This extracted data is automatically populated into the appropriate fields in the claims processing system, streamlining the workflow.
  • Automation tools equipped with AI algorithms can validate extracted data. These algorithms analyze the data, compare it with predetermined patterns and rules, and identify discrepancies or inaccuracies. When data does not meet the predefined rules, the system promptly flags it for review and resolution.
  • AI algorithms improve accuracy by reducing the chances of human errors and ensuring compliance. These algorithms are trained to recognize patterns and understand the context, enabling them to make intelligent decisions and detect any inconsistencies or irregularities in the data.
  • Automation tools can learn from historical data and user feedback to continuously improve accuracy. They can also adapt and refine algorithms to make them even more effective at identifying and resolving errors.

Overall, automation tools, powered by technologies like OCR and AI algorithms, streamline the data entry process, drastically reduce the time required, and minimize errors. By automating manual tasks, these tools free up human resources for more complex and value-added activities, enhancing the efficiency and accuracy of the entire claims processing system.

Workflow automation in claims adjusting

Claims adjusters that automate routine tasks within the claims process, like status updates and notifications, streamline their operations. Implementing robotic process automation (RPA) frees staff to focus on more complex tasks that add operational value by eliminating repetitive administrative tasks.

RPA software can swiftly process large amounts of data without errors, ensuring routine tasks are completed quickly and accurately. As a result, claim processing times can be significantly reduced, improving customer satisfaction and operational efficiency.

  • RPA follows pre-defined rules and guidelines to perform routine tasks consistently and adhere to company policies. This consistency helps in maintaining a high level of quality and compliance across the claims process.
  • Cost-effective operations: Automating routine tasks means claims adjusting firms can reduce the need for manual intervention, which reduces labor costs. With RPA, fewer resources are required for handling repetitive administrative tasks, allowing staff to focus on more complex and value-added activities.
  • Enhanced customer experience: Automated status updates and notifications enable real-time customer communications by providing timely and accurate information about their claims. This transparency and responsiveness can significantly improve the overall customer experience.
  • Scalability and flexibility: RPA systems are highly scalable for growing firms because they easily handle large claim volumes. Innately flexible, RPA can be easily configured and adjusted as business requirements change.
  • Error reduction and compliance: RPA eliminates manual intervention in routine tasks like data entry, calculations, or document processing, reducing the risk of human errors. This helps maintain data accuracy and compliance with regulatory standards.

Automation also increases employee satisfaction. By automating repetitive tasks, staff members are relieved of mundane and monotonous activities.

Enhance decision-making with AI

AI can also be pivotal in automating decision-making processes within claims adjusting. By leveraging AI algorithms, adjusters can assess claim validity and determine appropriate payout amounts based on historical data, optimizing the process.

  • Get predictive insights: By analyzing vast amounts of historical data, AI algorithms can identify patterns and trends that might not be immediately apparent to human adjusters. These insights allow for preemptive action, enabling proactive claims management and potentially preventing or mitigating potential issues.
  • AI algorithms can flag claims similar to previously denied or fraudulent claims. This means that adjusters focus their attention on higher-risk claims. AI can help prevent overlooked issues from escalating and assist adjusters in making more informed decisions.
  • AI can analyze data from weather reports, social media, and news feeds, providing adjusters with real-time information that may impact claim outcomes. 
  • Determine accurate payout amounts: AI can determine accurate payout amounts using well-established rules and historical data, considering factors such as policy details, industry standards, and previous claim outcomes.

Integration and interoperability

Insurance adjusters often use multiple software platforms, including claims management systems, customer relationship management systems, and financial software. Integrating automation tools with existing systems is critical to ensuring a seamless flow of information across claims adjusting and other business software platforms.

One key improvement that comes with integration is the ability to automate data transfers and updates between various software platforms. With automation tools, information easily flows between systems without manual intervention, streamlining operations, reducing the risk of errors, and saving time.

Automation tools ensure a higher level of data consistency and accuracy. Information automatically synced between systems greatly reduces the chance of discrepancies or outdated data. This ensures adjusters have the most up-to-date and accurate information when evaluating claims, making decision-making more reliable and efficient.

Integration also facilitates a holistic view of information. With automation tools connecting platforms, adjusters can obtain a comprehensive overview of data to streamline workflows. 

With integration, departments and stakeholders can seamlessly collaborate and communicate. Both systems and people access relevant data instantly, improving coordination and response times while enhancing the efficiency of claims adjusting and improving decision-making throughout the business.

The benefits of automation, such as enhanced interoperability, improved data consistency, a holistic view of information, and increased collaboration, ultimately lead to more cohesive operations and improved efficiency for insurance adjusters and their staff.

Automation: the key to modern claims adjusting

CTOs and IT leaders take note: Automation in claims adjusting transforms a formerly slow and manual process into one that is fast and efficient. It’s more than a tool to reduce manual labor – it’s a strategic asset that speeds throughput. As a result, your business will become more efficient and scalable, leading to growth and a competitive edge. Automation gives you:

  • Speed and efficiency
  • Accuracy and error reduction
  • Improved productivity
  • Enhanced compliance
  • Streamlined communication
  • Essential data analytics and insights

Automation also equals cost savings, minimizing the need for manual labor and reducing claim overpayments and fraudulent claims. 

At Susco, we specialize in custom claim management systems. We’ll partner with you to make things faster, better, and stronger than before with the latest automation and AI tools. We can provide full project development or work with your internal team.

Our dedicated team of web and application developers has built intuitive software for innovative organizations for over a decade, with solutions that perfectly align with business goals. Discover what we can do for you. Get in touch today so we can schedule your free one-hour assessment.

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