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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

Summary

In this chapter, we discussed the IDP pipeline and how this can apply to healthcare industry use cases, such as healthcare prior authorization, prescription automation, and healthcare claims processing with health risk adjustment.

We then dove deep into healthcare prior authorization use cases with a coverage requirement request and its reference architecture on AWS. We also discussed how to automate filling in a prior authorization form from a clinical data store. Moreover, we discussed how we can automate drug fill information by automating extraction from a prescription document. Finally, we looked at how to process a document for healthcare claims processing with a risk adjustment use case.

In the next chapter, we will extend IDP to additional industry use cases, such as insurance. Moreover, we will dive deep into insurance claims processing use cases and see how IDP can help to automate claims processing.

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