January AI has announced that its EHR-native Clinician Nutrition Monitor has been qualified as a solution on the Mayo Clinic Platform, enabling AI-powered nutrition insights to be viewed directly within Epic clinical workflows. The company said the qualification is intended to support adoption of the tool in routine care by making patient-generated nutrition information more accessible to clinicians.
The Menlo Park, California-based company explained that the Clinician Nutrition Monitor is powered by its AI and Nutrition app, providing clinicians with a longitudinal view of nutrition data alongside medications, weight, body mass index (BMI) and other clinical information within Epic.
Patients can record meals using the January AI app through multiple methods, including photographs, voice input, barcode scanning or search. The resulting information is then presented to clinicians within the electronic health record, allowing nutrition patterns to be reviewed without relying solely on patient recall during appointments.
According to January AI, the platform combines nutrition summaries, medication overlays, symptom tracking and weight trends to help clinicians assess whether dietary behaviors align with treatment plans and to identify possible relationships between nutrition and clinical outcomes. The solution also includes pre-built summaries and copy-to-chart functionality designed to reduce documentation requirements.
Commenting on the launch, Noosheen Hashemi, founder and CEO of January AI, said, "What patients eat between appointments profoundly shapes outcomes, yet that information has remained largely invisible to clinicians."
The Mayo Clinic Platform evaluates digital health technologies based on their intended use, proposed value, and clinical and algorithmic performance. January AI said qualification demonstrates that the Clinician Nutrition Monitor is positioned for deployment within real-world healthcare environments.
The announcement reflects broader efforts across the healthcare sector to integrate patient-generated health data into clinical workflows. January AI previously raised $8.8 million in 2021 to advance its platform for predicting glycemic responses to food and to support development of metabolic health services.
Recent collaborations involving the Mayo Clinic Platform have included Microsoft's work with Mayo Clinic to develop a healthcare-specific frontier AI model, as well as the partnership between Abridge, Epic and Mayo Clinic to create a generative AI documentation tool for nursing workflows. The latest announcement further highlights continued investment in connecting digital health applications with electronic health records to support clinical decision-making.
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