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)
Part 1: Accurate Extraction of Documents and Categorization
Part 2: Enrichment of Data and Post-Processing of Data
Part 3: Intelligent Document Processing in Industry Use Cases

Understanding healthcare claims processing and risk adjustment with IDP

When a medical claim is submitted, the insurance provider (payer) must process the claim to determine their correct financial responsibility and that of the patient. The process is known as claims adjudication or claims processing. During this process, the claims go through various checks; one such check is coding-level validation. During this coding-level validation, we check for the accuracy of the medical diagnosis code. Most often, this step requires manual review by a medical professional. Can we automate this process by leveraging technology? The answer is yes.

We will use Amazon IDP for coding-level validation for accurate claims processing. For this exercise, we will use the CMS1500 claim form and also a doctor’s note. We will process these documents with Amazon Textract for the accurate extraction of elements along with the ICD-10-CM code. We will also process the doctor’s note to adhere...