AWS x Livongo: Data Empowers Patients & Providers
One hundred and forty seven million Americans wake up every day managing one or more chronic conditions. Heart disease. Diabetes. Behavioral health. These aren’t just numbers; they are lives—millions of them—tied to a healthcare system struggling to keep up. Ninety percent of the nation’s healthcare spending is wrapped around these conditions, yet until now, care has been reactive. Slow. Fragmented.
Livongo and AWS are changing that.
At the heart of Livongo’s mission lies an intelligent web of data signals, a system that listens, learns, and responds in real time. Every blood glucose reading, every smartwatch notification, every logged meal—it’s all part of a larger story. One that, until now, was disconnected, lost in an ocean of siloed healthcare records.
But through machine learning and Applied Health Signals, Livongo is rewriting the script. Their platform collects data and understands it, predicting what each patient needs before they even ask.
Amazon Transcribe: Unlocking the Voice of the Patient
Healthcare is much more than just numbers. It’s conversations. It’s the late-night coaching call when a patient feels overwhelmed. It’s the hesitation in someone’s voice when they say, “I’m fine,” but their words suggest otherwise.
A patient engages in a Livongo coaching conversation, powered by AWS machine learning, to receive real-time, personalized health support. Featured in AWS x Livongo’s AI-driven healthcare solutions.
Using Amazon Transcribe, Livongo deciphers tens of thousands of real conversations between patients and health coaches. With natural language processing, the system identifies emotional cues, stress levels, and recurring struggles—bridging the gap between spoken words and actionable insights.
Maybe a patient mentions stress after every glucose reading. Maybe they’re anxious about an upcoming event. The system recognizes these patterns, interprets them, and responds with a personalized care plan, right when it’s needed most.
Machine Learning That Nudges, Notifies, and Navigates
Livongo’s smart blood glucose meter and mobile health tracking app use AWS-powered data analytics to provide real-time health insights for patients. Featured in AWS x Livongo’s AI-driven healthcare solutions.
Every interactionEngagement is the level of interaction, attention, and emotional connection that an audience has with a brand, message, or content. It reflects how actively individuals are participating, sharing, or responding to what’s presented. is an opportunity to help. Every data point is a signal waiting to be translated into action. AWS-powered machine learning models analyze these signals daily, processing thousands of patient inputs and delivering what Livongo calls “nudges”—small, precise, AI-driven interventions that guide users toward better health.
The reminders are personalized, predictive, and proactive.
- A patient logs their blood sugar as high? They receive a tailored response instantly.
- Patterns of stress emerge? A mindfulness exercise is suggested before symptoms escalate.
- Skipping meals? A reminder nudges them toward better nutritional habits.
To date, these AI-powered nudges have been delivered over four million times, helping patients manage their conditions with more confidence and control.
The power of AWS lies in its ability to scale effortlessly. For Livongo, that means focusing on what matters most—patients, not infrastructure.
With AWS providing the backbone of security, computing power, and AI-driven analysis, Livongo’s team can push boundaries, explore new data-driven interventions, and continuously refine its platform to be faster, smarter, and more adaptive.
The Future of Healthcare Isn’t Reactive. It’s Predictive.
In a world where chronic conditions account for nearly all healthcare spending, a system that only reacts is already too late. Livongo and AWS are proving that the future of healthcare is one where machines don’t replace human care—they enhance it.
With AI-driven insights, real-time interventions, and predictive analyticsMachine learning in marketing uses algorithms to analyze data, predict customer behavior, and automate marketing decisions. This helps brands create data-driven decisions., care can move at the speed of life. Proactive, not reactive. Anticipatory, not delayed.
Because when data meets intelligence, patients don’t just manage their conditions—they take control of them.
