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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

Accurate Extraction, and Health Insights with Amazon HealthLake

In the previous chapter, we examined the challenges in the review and verification stage of the Intelligent Document Processing (IDP) pipeline. We looked at how we can leverage business rules with serverless architecture to automate validation, such as checking the completeness of a document. We also discussed how to leverage and automate human review with AWS AI services and discussed completeness checks with post-processing logic. We learned how to use the Amazon Comprehend PII and Amazon Comprehend Medical PHI detection APIs to handle sensitive data. We will now change gear and dive into document processing with clinical health data extraction and insights with Amazon HealthLake. We will navigate through the following sections in this chapter:

  • Introducing Fast Healthcare Interoperability Resources (FHIR)
  • Using Amazon HealthLake as a health data store
  • Handling documents with an FHIR data store
...
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