Nourish, a digital health platform connecting patients with registered dietitians and medical providers, updated its application to include a generative artificial intelligence assistant. The tool operates continuously to provide users with personalized guidance between clinical visits. The software handles meal planning and explains laboratory results while addressing administrative tasks including prescription management and scheduling.
The system draws on individual medical records, clinical protocols and a database of millions of past data points to formulate responses. According to the company, half of active patients engage with the digital assistant on a daily basis. The platform routes complex medical inquiries to human staff when necessary. Since deploying the application update, the company recorded a doubling of laboratory scheduling rates alongside a two to three times increase in patients booking visits with medical doctors. The frequency of appointments with registered dietitians remained unchanged.
The technology allows users to log meals for immediate macronutrient analysis and receive recipe recommendations based on unique health goals. “We were seeing patients using a lot of the disparate features … and those were driving a lot of engagement and outcomes, but the AI was driving the best clinical outcomes,” said Aidan Dewar, co-founder and CEO of Nourish. “AI understands all the different contexts on the patient and then [identifies] the next best thing.”
The company attributes behavioral shifts to the system's ability to issue targeted prompts based on existing care plans. Nourish reported a 15 percent increase in daily meal logging and a 20 percent increase in weight tracking. Among users with access to the conversational interface, the provider recorded a 15 percent increase in patient weight loss over a 30-day period. That margin expanded to a 30 percent increase in weight loss over 60 days.
The consumer update mirrors an existing artificial intelligence deployment designed for the company's registered dietitians. The clinician-facing system analyzes patient journal entries and chatbot histories to generate session summaries. It prompts providers with relevant questions to explore during appointments. Approximately half of all clinical sessions utilize this decision support feature. “You can make care even more personalized and effective over time,” Dewar noted.
