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b.well Connected Health, a health management platform, announced that it is partnering with Google.
Baltimore-based b.well combines patients' health records, financial information, and wearable and other healthcare data.
The FHIR-enabled platform delivers interoperability and personalizes care at scale.
The company stated that it is collaborating with Google to help individuals safely aggregate their health data, manage sharing preferences and unlock the benefits of connected health information.
"AI and personalization only work when you have the full picture, and the scale of b.well's platform enables that," Kristen Valdes, founder and CEO of b.well Connected Health, said in a statement.
"Consumers expect experiences to happen in real time and in the right context. With that foundation, users can ask Google to apply its consumer expertise to health and deliver truly seamless, personalized solutions designed to help people live longer, healthier lives."
THE LARGER TREND
In July, Valdes spoke with MobiHealthNews about how CMS' Interoperability Framework fits into the company's vision for the future.
In 2024, b.well Connected Health closed a $40 million Series C growth round of funding led by Leavitt Equity Partners. According to Valdes, the funds were used to support b.well's ability to seek out and scale its work with organizations that embrace the ecosystem mindset.
In August, Google made several announcements during its Made by Google event in New York, including the release of its Pixel Watch 4, equipped with a new AI-enabled Health Coach powered by Gemini.
The tech giant said its personal health coach is a sleep coach, fitness trainer, and health and wellness advisor.
The company said the offering is tailored to one's personal fitness goals and "real-life circumstances" and can create personalized fitness and sleep plans to help wearers meet their goals.
The coach customizes a fitness plan based on goals, preferences and equipment and gives workout suggestions and metric targets. Workout plans are constantly adjusted based on data and daily metrics.
In July, Google introduced SensorLM, a set of foundation models that examines multimodal wearable sensor signals from devices including smartwatches and fitness trackers, to generate insights into one's health and activities.
The tech giant said SensorLM was trained on 59.7 million hours of multimodal sensory data from 103,643 people across 127 countries and was collected between March 1 and May 1.
In May, Google launched MedGemma, which the company says contains the most capable open models that help developers build healthcare-based AI applications to examine medical images, generate medical image reports, triage patients and answer questions about medical images.
The open models, which users can fine-tune, come in two variants: a 4B multimodal version and a 27B text-only version. Google says the multimodal version can be used as a starting point for apps classifying medical images in radiology, digital pathology, skin images and fundus.
The models can also be used for apps aimed at generating medical reports and responding to questions regarding images.
