Intelligent Document Processing with AWS AI/ML: A comprehensive guide to building IDP pipelines with applications across industries

Cover
Title Page
Copyright
Contributors
Table of Contents
Preface
Part 1: Accurate Extraction of Documents and Categorization
Chapter 1: Intelligent Document Processing with AWS AI and ML
	Understanding common document processing use cases across industries
	Understanding the AWS ML and AI stack
	Introducing Intelligent Document Processing pipeline
		Data capture
		Document classification
		Document extraction
		Document enrichment
		Document post-processing (review and verification)
		Consumption
	Summary
	References
Chapter 2: Document Capture and Categorization
	Technical requirements
		Signing up for an AWS account
	Understanding data capture with Amazon S3
		Data store
		Data sources
		Sensitive document processing
	Understanding document classification with the Amazon Comprehend custom classifier
		Training a Comprehend custom classification model
	Understanding document categorization with computer vision
	Summary
Chapter 3: Accurate Document Extraction with Amazon Textract
	Technical requirements
	Understanding the challenges in legacy document extraction
	Using Amazon Textract for the accurate extraction of different types of documents
		Introducing Amazon Textract
	Using Amazon Textract for the accurate extraction of specialized documents
		Accurate extraction of ID document (driver’s license)
		ID document (US passport) accurate extraction
		Receipt document accurate extraction
		Invoice document accurate extraction
	Summary
Chapter 4: Accurate Extraction with Amazon Comprehend
	Technical requirements
	Using Amazon Comprehend for accurate data extraction
	Understanding document extraction – the IDP extraction stage with Amazon Comprehend
	Understanding custom entities extraction with Amazon Comprehend
		Training an Amazon Comprehend custom entity recognizer
		Checking the performance of a trained model
		Inference result from the Amazon Comprehend custom entity recognizer
	Summary
Part 2: Enrichment of Data and Post-Processing of Data
Chapter 5: Document Enrichment in Intelligent Document Processing
	Technical requirements
	Understanding document enrichment
	Learning to use Amazon Comprehend Medical for accurate extraction of medical entities
		Amazon Comprehend Medical
	Learning to use Amazon Comprehend Medical for medical ontology
	Summary
Chapter 6: Review and Verification of Intelligent Document Processing
	Technical requirements
	Learning post-processing for a completeness check
		Post-processing sensitive data
		Learning about the document review process with human-in-the-loop
	Summary
	References
Chapter 7: Accurate Extraction, and Health Insights with Amazon HealthLake
	Technical requirements
	Introducing Fast Healthcare Interoperability Resources (FHIR)
	Using Amazon HealthLake as a health data store
		FHIR operations with Amazon HealthLake
		READ operation
		HealthLake PUT request
	Handling documents with an FHIR data store
	Summary
	References
Part 3: Intelligent Document Processing in Industry Use Cases
Chapter 8: IDP Healthcare Industry Use Cases
	Technical requirements
	Understanding IDP with healthcare prior authorization
		An introduction to the healthcare prior authorization process
		Automate prior authorization form filling using Amazon HealthLake
	Learning IDP for pharmacy receipt automation
	Understanding healthcare claims processing and risk adjustment with IDP
	Summary
Chapter 9: Intelligent Document Processing – Insurance Industry
	Technical requirements
	Automating the benefits enrollment process with IDP
	Understanding insurance claims processing extraction with IDP
		The data capture and document classification stages of the IDP pipeline
		Document extraction stage of the IDP pipeline
	Understanding insurance claims processing document enrichment and review and verification
		Claims processing for an invalid claims form
	Summary
Chapter 10: Intelligent Document Processing – Mortgage Processing
	Technical requirements
	Automating mortgage processing data capture and data categorization with IDP
	Automating mortgage processing data capture and data categorization with IDP
	Understanding mortgage processing extraction and enrichment with IDP
		Extraction with Comprehend
		Document enrichment for mortgage application processing
		Understanding the mortgage processing review and verification stage of the IDP pipeline
		Understanding financial services use cases for document processing
	Summary
	References:
Index
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