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Omada Health Delivers Machine Learning-Enhanced Preventative Virtual Care Using AWS


The COVID-19 pandemic dramatically accelerated medicine’s shift into the digital space, and now that the advantages of virtual care have been realized, there’s no going back. Virtual-first healthcare lowers barriers to access and enables timely interventions. However, people don’t want healthcare to be entirely automated or delivered by robots—patient satisfaction scores and health outcomes indicate that human interaction remains an important element.
Omada Health, a San Francisco-based healthcare startup, is using machine learning and a mobile-friendly app to help healthcare professionals provide informed care with maximally effective timing. The company provides technology-enabled behavioral health services, preventative care, and support and treatment for musculoskeletal diseases, hypertension, prediabetes, and diabetes.
Founded in 2011, Omada Health is a cloud-native digital healthcare provider built on Amazon Web Services (AWS). An early adopter of virtual-first care, the company has expanded from addressing diabetes to a wider range of chronic conditions. Over 550,000 people have enrolled in Omada Health programs so far through over 1,700 customers, and as of 2021, one in 10 individuals who are commercially insured are eligible for an Omada Health program.

“We’ve been able to leverage technology to ensure that key human connections happen at the right time, with the right person, for the right reason,” said Carolyn Jasik, MD, chief medical officer at Omada Health. “As a result of that technology enhancement, we’ve been able to scale efficiently without sacrificing quality, supporting five times the number of members in our program while only doubling the size of our care team.”
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AWS empowers us to digest an enormous amount of data and process it quickly to provide actionable, metrics-based alerts for clinicians. We couldn’t generate timely alerts if we didn’t have a scalable, compliant, and cost-effective platform that had these capabilities."

Carolyn Jasik, MD
Chief Medical Officer, Omada Health

Powering Clinical Insights

In 2021, Omada Health unveiled the Omada Insights Lab, an internal data analysis engine that leverages over one billion proprietary data points from over half a million members’ real-world interactions with Omada Health programs to yield recommendations for optimizing and personalizing care. The Insights Lab uses Amazon Redshift, a cloud data warehouse, to securely analyze health data with machine learning models.

“AWS empowers us to digest an enormous amount of data and process it quickly to provide actionable, metrics-based alerts for clinicians,” said Jasik. “We couldn’t generate timely alerts if we didn’t have a scalable, compliant, and cost-effective platform that had these capabilities.” For example, AWS tools enable data ingestion from continuous glucose monitors that produce 96 data points per day per patient, yielding deeper insights that can improve care and health outcomes for prediabetic and diabetic program members on both individual and population-wide levels.

By migrating compute architecture from Ruby on Rails to AWS Lambda, a serverless, event-driven compute service that runs code without provisioning or managing servers, Omada Health was able to reduce overall computing costs by 30 percent. “AWS Lambda has enabled us not only to minimize costs but also increase throughput—we can run far more insights in a shorter amount of time than we could with a Rails application,” said Myles Guanzon, vice president of engineering at Omada Health. “Since we are a cloud-native, virtual-first care provider, finding ways to pare down computing costs also enables us to reinvest those savings into different capabilities.”

Delivering Clinical Grade Care Through an App

Omada Health platforms are designed for program members to interact seamlessly with healthcare providers who understand their needs. To communicate with program members and provide reliable access, the Omada Health platform uses Amazon Simple Notification Service (Amazon SNS) and Amazon Simple Queue Service (Amazon SQS), fully managed messaging services for both application-to-application (A2A) and application-to-person (A2P) communication. As a fully cloud-based healthcare provider, Omada Health prioritizes security and compliance alongside ease of use and personalized algorithm development and outreach.

“It has become extremely important that companies and virtual-first care providers meet the moment with evidence-based solutions and solutions that are clinical grade,” said Jasik. “Our solutions enable healthcare to meet people where they need it, when they need it, and give program members another tool to support them in their health and wellness journey.”

By using algorithms to inform clinical decisions and then feeding the resulting data back into Omada Health’s Insights Lab to enable further optimization through machine learning, the organization prompts human care providers to interact with program members in the ways that will be most successful. As the company continues expanding to serve more individuals and cover additional disease areas, its AWS architecture will enable scaling and adaptation to incorporate insights as they emerge.

“On a global level, our relationship with AWS has been very collaborative and fruitful,” said Guanzon. “As new technologies, services, standards, and best practices get developed, we’ve been able to work with AWS to educate our teams and implement new advances that will benefit program members for better health outcomes.”

See how AWS is supporting other healthcare companies to make virtual care a reality.


About Omada Health

Omada Health uses behavioral science delivered through intelligent virtual platforms to help people change their habits, improve their health, and reduce their risk of chronic disease.

Benefits of AWS

  • Reduced costs by 30 percent by transitioning to serverless solutions
  • Delivered healthcare to five times more people while maintaining quality and only doubling personnel
  • Offered secure, reliable care access to program members via cloud-enabled mobile app
  • Enabled high-volume data ingestion from continuous glucose monitors to yield personalized health insights

AWS Services Used

AWS Lambda

AWS Lambda is a compute service that lets you build applications that respond quickly to new information and events.

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Amazon Redshift

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.

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Amazon SQS

Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications.

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Amazon SNS

Amazon Simple Notification Service (Amazon SNS) is a fully managed messaging service for both application-to-application (A2A) and application-to-person (A2P) communication.

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Amazon Route 53

Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) web service.

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