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Generating accurate and efficient medical record summarizations is a vital task for body injury claims. Discovery Navigator by Verisk uses generative artificial intelligence (AI) and Amazon Web Services (AWS) to streamline claims processing, saving hours of time reviewing medical records. With an automated summing feature powered by Foundation Models (FMs) from Amazon Bedrock, Discovery Navigator generates high-level summaries of medical data, enabling experts to quickly assess injury severity with the click of a button.
Solution Overview
Discovery Navigator is designed to retrieve medical information from images and generate summaries from patient records. The AI models extract key treatment data and medical information within the records’ unstructured documents.
Discovery Navigator Medical Record Review
Generating AI Auto-Summarizer
The Discovery Navigator auto-summarizing feature uses Amazon Bedrock FM to generate comprehensive summaries of high-level medical data for each injured party. The pipeline includes Verisk’s AI models processing the transformed medical records, the document splitting scheme, and the quality summary evaluation questions.
Conclusion
By employing generative artificial intelligence in Discovery Navigator, Verisk has successfully automated key medical data recognition and summarization. As the insurance world continues to evolve, innovations like artificial intelligence will significantly impact client outcomes, and I am curious to see how the collaboration between humans and AI will be shaped the future of insurance data analysis,
