What if your body could tell you exactly how that morning croissant or afternoon run affects you, second by second? A major new partnership is bringing that level of personalized insight closer to reality for millions.
Abbott and Google have announced a multiyear collaboration to integrate Abbott's over-the-counter continuous glucose monitor, Lingo, with the Google Health app. This means the real-time metabolic data captured by the Lingo sensor will be fed directly into the app, where Google's AI will provide users with personalized coaching and health insights.
The Lingo device is designed for the general wellness market, helping people without diabetes understand how diet, exercise, and stress impact their glucose levels. By pairing this continuous data stream with powerful AI, the goal is to offer actionable advice that helps users optimize their energy, mood, and overall metabolic health.
At Medicup, we see this as a landmark moment for digital health. It validates the power of combining continuous monitoring with intelligent, data-driven platforms—a principle at the core of what we do. For patients, tools like this transform healthcare from a reactive, appointment-based model to a proactive, continuous journey of self-discovery and improvement. You no longer have to guess what's working; you have the data to prove it.
For providers on telehealth platforms like Medicup, this integration represents the future of patient care. Imagine having a consultation where you can review your patient's continuous glucose data, understand their lifestyle patterns, and provide truly personalized, evidence-based advice. This level of insight elevates every virtual visit, making remote care more effective and empowering than ever. As more of these data streams become available, integrating them seamlessly into a patient's electronic health record will be key to unlocking a holistic view of their well-being.
Source: [MedTech Dive](https://www.medtechdive.com/news/abbott-google-to-combine-glucose-data-with-ai-coaching/827680/)