Evidence: Low35/100

MDaudit SmartScan.ai automates payer external audit document processing with Amazon Textract and Amazon Comprehend

MDaudit provides a cloud-based billing compliance and revenue integrity SaaS platform for more than 70,000 healthcare providers and 1,500 healthcare facilities. To address growing post-payment payer external audit requests, MDaudit built SmartScan.ai to automate the extraction and formatting of data from unstructured ADR PDFs that customers upload through a web portal. The solution uses Amazon S3 for document ingestion, Amazon Textract for OCR, Amazon Comprehend for entity extraction, and Amazon Augmented AI for human-in-the-loop review of unrecognized formats.

Organization
MDaudit
Industry
Healthcare
Published
September 2023

Reported outcomes

Time: Approximately 40 seconds

Time & speed

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

Normalized claim

Time: 40 seconds

AWS Machine Learning BlogSep 27, 2023Blog postInferred claimLow evidence strength

Average ADR letter processing time is approximately 40 seconds.

Normalized claim

Accuracy: 95%

AWS Machine Learning BlogSep 27, 2023Blog postInferred claimLow evidence strength

Accuracy reaches about 95%+.

Normalized claim

Revenue: 95%

AWS Machine Learning BlogSep 27, 2023Blog postInferred claimLow evidence strength

Customers retained approximately 95%+ in revenue.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
MDaudit
Provider
AWS
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

  • 1Intelligent document processing
  • 2Workflow automation
  • 3Human-in-the-loop AI
  • SmartScan.ai ingests ADR documents into Amazon S3.
  • Amazon Textract converts scanned PDFs into machine-readable text.
  • Amazon Comprehend identifies key entities such as name, date of birth, and date of service.
  • Outputs are compared against preexisting data-object configurations, and unrecognized formats are routed to Amazon Augmented AI for human review.
  • Approved configurations are stored for future scans, with client-level document isolation.
  • Average ADR letter processing time is approximately 40 seconds.
  • In the 12 months after launch, customers responded to about $100M of payer audit requests.
  • The company estimated tenfold productivity gains for letter management.
Architecture

Customers upload ADR documents through a web portal into Amazon S3. A function initiates processing. Amazon Textract performs OCR on scanned PDFs, Amazon Comprehend extracts key entities, and both outputs are compared with stored data-object configurations. Unknown formats are sent to Amazon Augmented AI for human review. Approved configurations are stored for reuse. AWS services are used for monitoring metrics, events, and logs.

Sources & evidence1
Evidence: Low35/100Evidence strength
  • Customer explicitly identified
  • Quantified outcome available
  • Technical implementation details available
Type: Blog PostPublished: Sep 27, 2023Publisher: AWSEvidence: VendorConfidence: Medium

AI-generated summary. Verify important details with the linked sources before relying on this case.

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