Understanding how to create a serverless pipeline for medical claims

In the previous sections, we covered the building blocks of the architecture by using the Amazon Textract Sync API, the Amazon Comprehend Medical Detect Entities Sync API, and Amazon SNS to send invalid claims. We defined functions for this workflow and called the text extraction and validation functions to showcase the use case or workflow with both a valid and invalid medical claim form. These functions can be moved into lambda code and, along with S3 event notifications, can be invoked to create a scalable pipeline for medical claims processing. We can do this by using the following architecture:

Figure 12.15 – Automating an architecture for scale with AWS Lambda

We walked through a Jupyter notebook showing individual code components for processing medical claims using a single intake form. We created Python functions to extract data, validate data, gather insights, and convert those...