Imagine a smart phone assistant that can call thousands of patients to check on their health, just like a nurse would. It listens to how they feel, spots red flags in their symptoms, and alerts doctors only when something is actually wrong. It's like having a digital triage system that speaks naturally in multiple languages to keep people safe at home.
Healthcare systems are overwhelmed by the need to monitor chronic disease patients via phone, leading to staff burnout and missed clinical alerts. Manual outpatient communication is inefficient and lacks scalability.
An AI-driven voice platform featuring a medical assistant (LOLA), a FHIR API for interoperability, and a Medical Dashboard for healthcare professionals.
If you are a hospital dealing with overloaded staff and manual outpatient follow-ups — this project developed an AI voice platform that automates medical phone consultations. This allows medical teams to act preventively based on clinical protocols while increasing efficiency.
If you are a payor dealing with high costs of chronic disease complications — this project developed a monitoring system that identifies alerts in patient symptoms. By automating 25 care pathways, it helps reduce the impact of chronic diseases through early intervention.
If you are a telemedicine company dealing with low patient engagement in remote monitoring — this project developed a CE-marked medical device for voice conversations. It has already logged over 50,000 hours of empathetic conversations in 3 languages.
Based on available project data, specific pricing or cost structures are not disclosed.
Yes, it has scaled to 3 languages and is working in 25 care pathways, with a strategy to become language agnostic using synthetic data generators.
The software is CE marked as a medical device, which indicates a high level of regulatory compliance and intellectual property readiness.
The project developed the Tucuvi FHIR API to increase interoperability capabilities with healthcare systems.
The project period runs from 2023-02-01 to 2025-07-31, with current reports showing most work packages are in progress.
The project is led by a single Spanish SME, TUCUVI CARE SOCIEDAD LIMITADA, with a 100% industry ratio. This lean structure suggests a highly commercial focus, as the company is directly managing the development and deployment of the AI platform without academic partners.
Contact TUCUVI CARE SOCIEDAD LIMITADA in Spain
Contact us to explore licensing or integration of the Tucuvi FHIR API for your healthcare network.
