What challenges did Reveleer face before AI implementation?

Manual review of thousands of pages per patient is slow and difficult to scale for diagnosis, coding, reporting, reimbursement, and care-planning workflows. Healthcare organizations need accurate analysis of large volumes of medical chart data to support value-based care.

What was the impact of the AI solution?

Processed over 45 million pages of medical chart data in the first quarter of 2024. The platform has 100 percent uptime. 90 percent of responses are served in under 8 seconds.

Source

Scaled productionEvidence: Medium65/100

Reveleer Enhances Value-Based Care with AI-Powered Healthcare Analytics on AWS

Use case typeMedical document automationUpdated Jun 13, 2026

Reveleer, a healthcare data and analytics company, uses AWS services to analyze medical records at scale for value-based care workflows. The platform scans patient records, extracts clinical facts from unstructured medical text and scanned documents, and highlights findings for medical coders. The article states the system processed over 45 million pages of medical chart data in Q1 2024 and serves 90% of responses in under 8 seconds with 100% uptime.

Organization: Reveleer
Industry: Healthcare
Location: United States
Published: May 2026

Reported outcomes

8 seconds

quantified impactOther quantified impact

100%time90%quantified impact

Strategic outcomes

New product / capabilityAnalyzed medical records at scaleSpeed & agilityHighlighted findings for medical codersScale & capacityProcessed medical chart data at scaleCustomer experience & trustAchieved continuous platform availability

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 100%

AWS Case StudyMay 27, 2026Customer storyInferred claimMedium evidence strength

The platform has 100 percent uptime.

Normalized claim

Quantified impact: 90%

AWS Case StudyMay 27, 2026Customer storyInferred claimMedium evidence strength

90 percent of responses are served in under 8 seconds.

Normalized claim

Quantified impact: 8 seconds

AWS Case StudyMay 27, 2026Customer storyInferred claimMedium evidence strength

90 percent of responses are served in under 8 seconds.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Reveleer
Provider: AWS
Maturity: Scaled Production
Linked source: AWS Case Study

Reveleer, a healthcare data and analytics company, uses AWS services to analyze medical records at scale for value-based care workflows

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Document Intelligence
2Clinical Workflow Automation
3Healthcare Analytics

Manual review of thousands of pages per patient is slow and difficult to scale for diagnosis, coding, reporting, reimbursement, and care-planning workflows.
Healthcare organizations need accurate analysis of large volumes of medical chart data to support value-based care.

Reveleer uses Amazon Textract to extract text, handwriting, layout elements, and data from scanned documents.
Reveleer uses Amazon Comprehend Medical to extract information from unstructured medical text accurately and quickly.
Medical coders review highlighted findings rather than reading thousands of pages, and the company plans to add more AWS capabilities such as Amazon Bedrock.

Technologies

Amazon Textract Amazon Comprehend Medical Amazon Bedrock

Processed over 45 million pages of medical chart data in the first quarter of 2024.
The platform has 100 percent uptime.
90 percent of responses are served in under 8 seconds.

Sources & evidence1

Evidence: Medium65/100Evidence strength