Normalized claim
Quantified impact: 100%
The infrastructure achieved 99.999% availability.
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
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.
- 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
AI-generated summary. Verify important details with the linked sources before relying on this case.
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