amaise shines in real-world situations where organizations deal with complex, document-heavy claims. Some key use claims include:
- Large bodily injury and medical insurance claims: Insurance carriers (and TPAs) use amaise to handle injury or health claims that come with hundreds or even thousands of pages of doctors’ reports, hospital records, and correspondence. The platform automatically classifies and organizes these documents, extracts critical data like diagnoses and treatment dates, and generates an interactive summary of the patient’s history. This is a huge time-saver for claims adjusters. Instead of drowning in paperwork, your team gets a clear story of the claim in moments.
- Independent Medical Evaluations (IMEs): IMEs can use amaise to quickly analyze medical records and assessments, ensuring an efficient review process. By summarizing complex patient histories and extracting relevant details from past claims, amaise helps IMEs focus on medical decision-making rather than document handling.
- Predictive insights from past claims: amaise isn’t just about one claim at a time – it can also look across your archive of past claims. The system can compare a new claim with thousands of previous claims to find patterns or similar scenarios, helping predict the likely length, complexity, and cost of the claim. This means you can get an early read on how complicated a claim might be or what settlement range to expect based on historical precedents. Additionally, the platform can even suggest which internal expert or adjuster is best suited for a new claim by identifying who handled the most similar claims in the past. These insights help you allocate resources more effectively and set appropriate reserves or strategies from day one.
In short, any scenario where your team is grappling with high volumes of unstructured documents – be it insurance claims, Independent Medical Evaluations, or medical reviews – is where amaise delivers the most value. It turns a paper-heavy process into a streamlined, intelligent workflow.