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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
LinkedIn
Sonali Sahu is leading Intelligent Document Processing AI/ML Solutions Architect team at Amazon Web Services. She is a passionate technophile and enjoys working with customers to solve complex problems using innovation. Her core area of focus is Artificial Intelligence and Machine Learning. She has both breadth and depth in technology with industry expertise in Healthcare and Insurance.
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Toc

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

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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Authors (1)

Profile icon Sonali Sahu
Sonali Sahu
LinkedIn icon
Sonali Sahu is leading Intelligent Document Processing AI/ML Solutions Architect team at Amazon Web Services. She is a passionate technophile and enjoys working with customers to solve complex problems using innovation. Her core area of focus is Artificial Intelligence and Machine Learning. She has both breadth and depth in technology with industry expertise in Healthcare and Insurance.
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See other products by Sonali Sahu
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