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Advance environmental sustainability in clinical trials using AWS

Machine Learning Blog

This article discusses how AWS can enable more environmentally sustainable decentralized clinical trials, as opposed to traditional centralized trials that contribute significantly to greenhouse gas emissions.

Specifically, the article covers:

  • The challenge of sustainability in clinical trials and the impact of traditional trials on emissions
  • The advantages of decentralized clinical trials in reducing emissions from travel and infrastructure
  • Four pillars for using AWS to power sustainable decentralized trials:
    • Personalized remote patient engagement with services like Amazon Alexa, Amazon Connect, and Amazon Pinpoint
    • Virtual trials using AWS data and analytics services for data capture, processing, and insights
    • Patient-centric trial design optimization with Amazon SageMaker for machine learning
    • Centralized data management with AWS HealthLake, AWS Step Functions, and AWS Lambda
  • Conclusion emphasizing the importance of sustainability and how AWS can enable more sustainable decentralized clinical trials
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