Normalized claim
Productivity: 97% decrease
Manual labor reduced by up to 97%, increasing productivity of teams.
Amazon Textract Use Cases in Healthcare and Insurance with Change Healthcare and Others
Use case typeMedical document automationUpdated Jun 13, 2026
Amazon Textract is used by organizations including Change Healthcare, Symbeo (a CorVel company), Elevance Health, Healthfirst, nib Group, Wrapped Insurance, and others primarily in the healthcare and insurance industries. These organizations faced the challenge of tedious, time-consuming, and error-prone manual data entry and processing of forms, claims, and documents. Amazon Textract's AI-powered OCR and ML capabilities automate extraction of printed text, handwriting, and structured data from scanned documents, significantly reducing document processing time from hours to minutes. The technology is integrated with AWS infrastructure and services as part of scalable solutions that improve operational efficiency, reduce manual labor by up to 97%, and enhance customer experience. Common document types processed include insurance claims, medical charts, invoices, bank statements, and more, with automation rates frequently exceeding 60%. AWS services used include Amazon Textract and Amazon Comprehend Medical for data extraction and analysis.
- Organization
- Change Healthcare
- Industry
- Healthcare
- Location
- United States
- Published
- April 2026
Reported outcomes
−97%
productivityProductivity & throughput
60%quantified impact
Strategic outcomes
Speed & agilityAccelerated document processing workflowsCost efficiencyReduced manual laborCustomer experience & trustImproved customer experienceNew product / capabilityManaged handwritten forms and tables
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Quantified impact: 60%
Automation rates in document processing exceeding 60% in many cases.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Change Healthcare, Symbeo, Elevance Health, Healthfirst, nib Group, Wrapped Insurance
- Provider
- AWS
- Maturity
- Production
- Linked source
- AWS Customer Stories
The technology is integrated with AWS infrastructure and services as part of scalable solutions that improve operational efficiency, reduce manual labor by up to 97%, and enhance customer experience
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 2 of 2
- 1Document Processing Automation
- 2Claims Processing Automation
- Manual data entry and processing of healthcare and insurance documents such as claims and forms is tedious, time-consuming, and error-prone.
- Extracting structured data from forms and handwritten documents was difficult with traditional OCR solutions.
- Organizations needed to improve operational efficiency, reduce manual labor, and speed up document processing to enhance customer service.
- Organizations implemented Amazon Textract, an AI-powered OCR service that extracts printed text, handwriting, and structured data from scanned documents and forms.
- Amazon Textract integrates with other AWS services such as Amazon Comprehend Medical for enhanced data extraction and analysis.
- The service is scalable and HIPAA compliant, enabling processing at large scale in healthcare and insurance workflows.
- Some organizations integrated Amazon Textract into automated claims processing pipelines, reducing manual steps and accelerating turnaround time.
Technologies
- Document processing time reduced from hours to minutes, improving operational efficiency.
- Manual labor reduced by up to 97%, increasing productivity of teams.
- Automation rates in document processing exceeding 60% in many cases.
- Improved customer experience by accelerating decision cycles and reducing errors in data extraction.
- Enhanced ability to manage and analyze diverse document types including handwritten forms and tables.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Apr 29, 2026Publisher: AWS Customer StoriesEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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