Through machine learning you can create workflows that automatically check information provided by the parties involved.
2. Use Data to detect fraud
Data analytics is the key to detecting fraud. Basically, adjusters enter data, and claims are automatically given a Suspicion Score to indicate the likelihood that fraud has occurred. The technology behind this involves data-mining tools and quantitative analysis.
3. Continually review and rescore claims
Historically, monitoring Suspicion Scores has been more accurate and effective than traditional fraud-detection methods. This is because combating insurance fraud takes persistence and good timing.
The best part – these tools can be automated! This prevents the need for manual analysis and sends alerts with important items to review.
4. Adopt a layered approach
A layered approach means using a variety of tools and technologies to tackle a challenge. This is the industry’s organized way of exhausting all resources.
The Modern Insurance Organization has a library of tools used to detect fraud. These include videos, photos and even livestreaming to document evidence at a car crash or crime scene.
A virtual gold mine lies within data. It’s imperative to collect, organize, and index the data for fraud detection.
5. Stay on top of new fraud practices
As fighting fraud becomes more proactive, insurers must spot new trends to stay ahead. To be on top of the latest trends, think about everything 2020 has taught us. For example, “digital culture” has become the norm. How do you prevent fraud in a digital environment?
6. Fight fraud through prevention
Maintaining control, streamlining processes and analyzing claims can happen seamlessly with a cross-referencing tool.
TerraClaim is an anti-fraud smart tool that will give adjusters the freedom to be more productive and effective. Learn more about preventing insurance fraud with the TerraClaim software at https://terraclaim.com/.