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Intelligent Document Processing with AWS AI/ML

Intelligent Document Processing with AWS AI/ML

By : Sonali Sahu
4.8 (4)
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Intelligent Document Processing with AWS AI/ML

Intelligent Document Processing with AWS AI/ML

4.8 (4)
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)
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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

IDP Healthcare Industry Use Cases

In the previous chapter, you understood what Fast Healthcare Interoperability Resources (FHIR) is and how Amazon HealthLake can help with FHIR. Moreover, we looked into how we can manage unstructured non-FHIR documents to store in a centralized data store with an Intelligent Document Processing (IDP) pipeline. We will now go into more detail about FHIR and see how it helps in healthcare interoperability, with various industry use cases. We will also check how Amazon IDP helps in healthcare industry use cases. You will learn how to build an IDP pipeline for the healthcare industry. Moreover, you will learn how to create a secure, compliant IDP solution.

We will navigate through the following sections in this chapter:

  • Understanding IDP with healthcare prior authorization
  • Learning IDP for pharmacy receipt automation
  • Understanding healthcare claims processing and risk adjustment with IDP
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Intelligent Document Processing with AWS AI/ML
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