Change Healthcare
Get email alerts
New customer deployments for Change Healthcare, straight to your inbox. No account needed.
Change Healthcare has 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country.
2
1
1
Hyperscaler mix
See whether Change Healthcare's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Change Healthcare builds AI
Build / Buy / Compose across this company's documented cases
1 of 2 cases classified (50%) · Compare all use-case types
Use case portfolio
Use case types at Change Healthcare
Clinical analytics leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Evidence persistence
1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Change Healthcare uses across visible cases
4 named technologies are mentioned across 2 cases, led by Amazon Comprehend Medical.
Capability mix
No capability flags are attached to these cases yet.
Technologies mentioned
All Use Cases (2)
Amazon Textract Use Cases in Healthcare and Insurance with Change Healthcare and Others
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.
Change Healthcare Uses Amazon SageMaker and Amazon QuickSight to Reduce Overpayment and Claim Waste
Change Healthcare, a leading independent healthcare technology company in the US, sought to improve clinical, financial, and patient engagement outcomes by reducing overpayment and claim waste.They faced challenges in getting machine learning model predictions into business intelligence tools quickly and cost-effectively.The solution involved leveraging Amazon SageMaker for machine learning training and inference and integrating it with Amazon QuickSight to automate the data ingestion, inference pipeline, and reporting process.This integration allowed business analysts and data scientists to create predictive dashboards without specialized ML expertise, streamlining workflows and reducing the time to deliver insights to decision-makers.The approach eliminated heavy manual ETL tasks, enabled scheduled and programmatic predictions, and reduced costs by using SageMaker batch transform jobs without running costly inference endpoints continuously.
Community
Comments
No published comments yet.
Ask the analyst
A question about Change Healthcare the page doesn't answer? I read every one — the good ones get answered here.