CMS will simplify and integrate AI in January to help beneficiaries turn complex health data into actionable insights.
If health care has long felt like a maze Centers for Medicare & Medicaid (CMS) trying to build a front door. With the launch of the Medicare Program Library, CMS is creating a centralized space where beneficiaries can browse and connect to vetted Medicare programs on their own terms. Among the first to walk through it January AIa company that has made a name for itself by translating messy and complex health data into something people can actually use.
Medicare serves more than 69 million Americans. For January AI, getting into the library isn’t just about distribution; it’s about access to populations that have historically been underserved by digital health tools.
Most people already generate a surprising amount of health data—doctor visits, lab tests, prescriptions, even sleep and activity patterns—from their phones. The problem is that it rarely comes together clearly.
January AI was built to address this exact frustration. Its platform pulls in different streams of information (clinical records, lifestyle habits, nutrition, etc.) and organizes them into a single, evolving picture of your health. But, instead of overwhelming users with charts and numbers, it asks a simpler question: what should I do today?
One example is food. The app can predict how your body will respond to food before you eat it, providing a sort of “metabolic preview.” For someone managing blood sugar, it’s the difference between a guess and a decision. Think of it as a navigation app. The data is the map, but the AI Jan tries to give you next directions.
Noushin Hashemi, CEO and co-founder of January AI, said the company’s inclusion in the CMS Medicare Program Library is an important milestone not only for January AI itself, but also for the transition to a patient-controlled healthcare model.
“Medicare beneficiaries now have new options to connect their health data to applications that turn it into meaningful and personalized insights. This is an important step toward a more connected and proactive health care system,” he said.
“Patient controlled” should be emphasized here. For decades, health information has been locked up within systems that patients rarely interact with. The CMS Application Library changes this dynamic, at least partially. Users choose whether to link their data. They decide which tools get access. And ideally, they get something useful in return. It’s not a total system overhaul, but it’s a noticeable flaw.
Why are adults at the center of this story?
Digital health, such as fitness trackers, fitness apps and optimization culture, is often marginalized as a youth game. But the Medicare Program Library suggests a different future, one in which older adults are not only included, but prioritized.
It makes sense. This is the population that manages the highest burden of chronic disease, where small, continuous changes can have a huge impact. If an app can help someone understand how their breakfast affects their blood sugar, or how sleep affects their energy and recovery, it’s a no-brainer. This is the beginning of behavior change.
Previous work by January AI provides some proof of concept. Its virtual glucose monitoring approach – predicting blood sugar responses without invasive sensors – has already been used by more than 200,000 people, with research showing improved weight management and time spent in a healthy glucose range. But, perhaps more importantly, it is changing the way people think about their health. Numbers become patterns. Samples are selected.
From health care to longevity
“The future of healthcare depends on giving individuals access to their personal information in a way that is both secure and actionable,” Hashemi added. “We’re proud to be a part of this effort to build an even more connected health care system.”
The future lies at the intersection of health and longevity. Because longevity isn’t just about advances in labs or clinics; it’s about what happens between appointments. It’s about making small, conscious decisions over time.
What CMS is doing with the App Library and what companies like January AI are building is shifting the focus from reactive maintenance to continuous awareness. From treatment to prevention. From life to longevity.
For Longevity.Technology readers, the signal is that the infrastructure for personalized, data-driven aging is reaching the people who need it most. Once this happens, longevity ceases to be an abstract idea and becomes more like everyday life.
