Scaled productionEvidence: Medium55/100

Propeller Health Leverages AWS to Help Patients Manage Respiratory Disease

Propeller Health is a digital health company focused on managing chronic respiratory disease such as asthma and COPD. They developed a digital health platform using small custom-built sensors attached to inhalers that connect via Bluetooth to smartphones. Their platform collects medication usage data, combines it with environmental data, and provides insights and reminders to patients through an app. Providers can remotely monitor patients via a Provider Portal to stratify risk and make data-driven treatment decisions. The platform uses Amazon SageMaker for machine learning to forecast patient health based on recent medication use, weather conditions, and other factors, enabling predictive healthcare. Deployed on AWS infrastructure, the solution has scaled to over 100,000 patients across three continents, accelerating innovation and improving patient outcomes.

Organization
Propeller Health
Industry
Healthcare
Published
April 2026

Reported outcomes

Strategic outcomes

Speed & agilityAccelerated innovation cyclesCustomer experience & trustImproved patient outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Propeller Health
Provider
AWS
Maturity
Scaled Production

Deployed on AWS infrastructure, the solution has scaled to over 100,000 patients across three continents, accelerating innovation and improving patient outcomes

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

  • 1Remote Patient Monitoring
  • 2Predictive Healthcare
  • Managing chronic respiratory disease patients effectively from remote locations.
  • Enabling personalized, data-driven care and monitoring to improve outcomes.
  • Forecasting patient health proactively by integrating environmental and usage data.
  • Developed a digital health platform with sensors attached to inhalers transmitting data to smartphones.
  • Used AWS infrastructure and Amazon SageMaker to build machine learning models forecasting patient health conditions.
  • Provided a Provider Portal for healthcare providers to monitor patients remotely and stratify based on risk.
  • Delivered patient insights and reminders via a mobile app for better medication adherence and health management.
  • Scaled the solution to over 100,000 patients across three continents.
  • Enabled faster innovation cycles due to standardized machine learning workloads on AWS.
  • Improved patient outcomes with predictive health forecasts and personalized interventions.
Sources & evidence1
Evidence: Medium55/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Technical implementation details available
Type: Case StudyPublished: Apr 29, 2026Publisher: AWS Solutions LibraryEvidence: PrimaryConfidence: High

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

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