Scaled productionEvidence: Medium65/100

Froedtert & the MCW Health Network modernized patient experience on AWS and plans Bedrock generative AI

Use case typeClinical analyticsUpdated Jun 13, 2026

Froedtert & the MCW Health Network, through its Inception Health innovation arm, built a digital platform on AWS to reimagine the patient experience and support personalized digital engagement. The organization wanted a lean, secure, HIPAA-compliant cloud foundation that could connect disparate parts of the patient journey, support telehealth and asynchronous care at scale, and enable data-driven patient communications.

Organization
Froedtert & the MCW Health Network
Industry
Healthcare
Location
United States
Published
April 2026

Reported outcomes

100%

quantified impactRisk, reliability & safety

Strategic outcomes

Customer experience & trustImproved personalized patient communicationsNew product / capabilityBuilt a digital patient engagement platformRisk & complianceEstablished HIPAA-compliant cloud foundationNew product / capabilityEnabled self-service care experiences
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 100%

AWS Customer StoryApr 29, 2026Customer storyInferred claimMedium evidence strength

The infrastructure achieved 99.999% availability.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Froedtert & the MCW Health Network, Inception Health
Provider
AWS
Maturity
Scaled Production
Linked source
AWS Customer Story

The organization wanted a lean, secure, HIPAA-compliant cloud foundation that could connect disparate parts of the patient journey, support telehealth and asynchronous care at scale, and enable data-driven patient communications

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Patient experience personalization
  • 2Healthcare digital engagement
  • 3Predictive analytics
  • Modernize patient-facing digital engagement with strong availability and security requirements.
  • Operate with a lean team while supporting telehealth, asynchronous care, and personalized patient experiences.
  • Use data and automation to identify patients needing preventive care and reduce clinician stress.
  • Inception Health built a digital platform powered by AWS and used a serverless event-driven architecture with AWS Lambda.
  • The team used Amazon SageMaker for multimodal data analysis and machine learning model training.
  • Amazon Kinesis Data Firehose was used to ingest streaming data into data lakes and analytics systems.
  • The team used analytics to identify patients who need preventive care and then sent personalized recommendations through a customer communications platform.
  • The organization built a multi-account, HIPAA-compliant infrastructure with AWS Professional Services and is evaluating Amazon Bedrock for future generative AI use cases.
Technologies
AWS LambdaAmazon SageMakerAmazon Kinesis Data FirehoseAmazon Bedrock
  • The infrastructure achieved 99.999% availability.
  • The platform serves about 70,000 patients monthly through digital services.
  • The organization improved its ability to deliver personalized patient communications and support self-service experiences with guardrails.
  • It positioned itself to become an early adopter of generative AI to further enhance the patient experience.
Architecture

AWS-based digital patient engagement platform using serverless event-driven architecture with AWS Lambda, Amazon SageMaker for ML, Amazon Kinesis Data Firehose for streaming ingestion, and a multi-account HIPAA-compliant AWS organization; Amazon Bedrock is mentioned as a planned next step for generative AI.

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 StoryEvidence: PrimaryConfidence: High
Primary source

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

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