Book Image

Intelligent Document Processing with AWS AI/ML

By : Sonali Sahu
Book Image

Intelligent Document Processing with AWS AI/ML

By: Sonali Sahu

Overview of this book

With the volume of data growing exponentially in this digital era, it has become paramount for professionals to process this data in an accelerated and cost-effective manner to get value out of it. Data that organizations receive is usually in raw document format, and being able to process these documents is critical to meeting growing business needs. This book is a comprehensive guide to helping you get to grips with AI/ML fundamentals and their application in document processing use cases. You’ll begin by understanding the challenges faced in legacy document processing and discover how you can build end-to-end document processing pipelines with AWS AI services. As you advance, you'll get hands-on experience with popular Python libraries to process and extract insights from documents. This book starts with the basics, taking you through real industry use cases for document processing to deliver value-based care in the healthcare industry and accelerate loan application processing in the financial industry. Throughout the chapters, you'll find out how to apply your skillset to solve practical problems. By the end of this AWS book, you’ll have mastered the fundamentals of document processing with machine learning through practical implementation.
Table of Contents (16 chapters)
1
Part 1: Accurate Extraction of Documents and Categorization
6
Part 2: Enrichment of Data and Post-Processing of Data
10
Part 3: Intelligent Document Processing in Industry Use Cases

Understanding insurance claims processing extraction with IDP

Claims processing is the process to check for the validity and authenticity of a claim to verify the right financial responsibility. Most often, this process is manual, which is time consuming, error prone, and expensive. Also, you’ll need skilled professionals for the verification of data. We will show you how IDP AI services can help in automating a claims processing use case. Let’s now dive into the technical details:

Figure 9.6 – IDP flow for insurance claims processing

The data capture and document classification stages of the IDP pipeline

We are using Amazon S3 to store our claims along with supporting documents, such as a claims document (CMS-1500 or UB04), ID document, invoice, or providers note. After these documents are stored, we need to accurately classify them before we apply extraction logic and further processing on these documents. For example, we want to extract...