Huron transforms patient experience measurement with Amazon Bedrock-powered generative AI analytics

Huron Consulting Group developed Huron Intelligence Rounding, a healthcare analytics platform built on AWS to measure and improve patient satisfaction and business performance. The solution analyzes clinician-to-patient interactions and operational text to surface sentiment insights, funding-related patient experience issues, and business breakdowns such as claims processing denials and write-offs.

Organization
Huron
Industry
Healthcare
Published
March 2026

Reported outcomes

90%

sentiment analysis accuracyQuality & accuracy

100 organizationshealthcare organizations planned for deployment

Strategic outcomes

Customer experience & trustImproved patient satisfaction measurementBetter decisions & insightIdentified operational root causesCustomer experience & trustEnabled proactive patient interventionsScale & capacityExpanded deployment across healthcare organizations

Catalog median for quality & accuracy deployments: +90% across 270 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 4

  • 1Sentiment analysis
  • 2Healthcare analytics
  • 3Operational intelligence
  • Hospitals needed better ways to measure patient satisfaction in the moment from clinician-to-patient interactions.
  • Healthcare organizations also needed to identify breakdowns in claims processing and the causes of denials and write-offs.
  • Teams wanted proactive interventions and coaching based on more nuanced interaction analysis.
  • Huron built Huron Intelligence Rounding on AWS using Amazon Bedrock for generative AI sentiment analysis and Amazon Redshift for data processing and analytics.
  • The platform analyzes millions of patient interactions and business work-driver text to produce nuanced sentiment insights and identify operational root causes.
  • Huron says the solution is scalable across healthcare organizations and is expanding into additional rounding insights, real-time voice transcription and revenue cycle analytics.
  • The solution achieved 90% accuracy in analyzing millions of patient interactions.
  • It enabled immediate identification of patient satisfaction trends and proactive interventions.
  • The implementation had direct impact on hospital revenue through optimized HCAHPS funding.
  • Deployment is expanding from 11 healthcare organizations to more than 100 by January 2026.
Architecture

Huron Intelligence Rounding uses Amazon Bedrock to power generative AI sentiment analysis on clinician-to-patient interaction text and Amazon Redshift as the analytics warehouse. The solution is deployed as a scalable healthcare analytics platform and is being extended to additional rounding, voice transcription, and revenue cycle analytics use cases.

Sources & evidence1
Groundedness: 4/5Type: Blog PostPublished: Mar 13, 2026Publisher: AWSEvidence: VendorConfidence: Medium

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

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