Intelligent healthcare forms analysis with Amazon Bedrock

This article discusses how to use Amazon Bedrock, specifically the Anthropic Claude 3 model, for intelligent analysis of healthcare forms. It proposes a solution to streamline the process of extracting and comparing unstructured data from paper forms or images.

Specifically, the article covers:

• Solution overview: An architectural overview of the proposed solution, involving services like Amazon S3, Amazon SQS, AWS Lambda, Amazon Textract, and Amazon Bedrock.
• Data extraction and storage for standard forms: Extracting questions and sub-questions from a reference form using Amazon Textract and Amazon Bedrock.
• Data extraction and form field comparison: Extracting questions and sub-questions from a custom form, and comparing it with the reference form using Amazon Bedrock.
• Final comparison using Anthropic Claude 3: Examples of how Amazon Bedrock can identify matches and mismatches between custom and reference forms, and provide reasoning.
• Conclusion: Summarizes the benefits of using generative AI solutions like Amazon Bedrock for streamlining healthcare data management and enhancing patient care.