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Intelligent Document Processing with AWS AI/ML

You're reading from   Intelligent Document Processing with AWS AI/ML A comprehensive guide to building IDP pipelines with applications across industries

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781801810562
Length 246 pages
Edition 1st Edition
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Author (1):
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Sonali Sahu Sonali Sahu
Author Profile Icon Sonali Sahu
Sonali Sahu
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Accurate Extraction of Documents and Categorization
2. Chapter 1: Intelligent Document Processing with AWS AI and ML FREE CHAPTER 3. Chapter 2: Document Capture and Categorization 4. Chapter 3: Accurate Document Extraction with Amazon Textract 5. Chapter 4: Accurate Extraction with Amazon Comprehend 6. Part 2: Enrichment of Data and Post-Processing of Data
7. Chapter 5: Document Enrichment in Intelligent Document Processing 8. Chapter 6: Review and Verification of Intelligent Document Processing 9. Chapter 7: Accurate Extraction, and Health Insights with Amazon HealthLake 10. Part 3: Intelligent Document Processing in Industry Use Cases
11. Chapter 8: IDP Healthcare Industry Use Cases 12. Chapter 9: Intelligent Document Processing – Insurance Industry 13. Chapter 10: Intelligent Document Processing – Mortgage Processing 14. Index 15. Other Books You May Enjoy

Review and Verification of Intelligent Document Processing

In the previous chapter, you understood the requirements for the enrichment process in Intelligent Document Processing (IDP). Often in healthcare industries, there is a requirement to derive medical insights to augment the document processing pipeline. We looked into Amazon Comprehend Medical and its features to derive medical insights for accurate document processing. We will now dive into the detailed post-processing stage of IDP. We will see how the Review and Verification steps can be automated by AWS AI services. We will also discuss the requirement and need to have human review and verification options for sensitive, business-critical, or accurate information processing in IDP. We will navigate through the following sections in this chapter:

  • Learning post-processing for a completeness check
  • Post-processing sensitive data
  • Learning about the document review process with human-in-the-loop
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