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Scaling AI care across therapeutic areas
Scaling clinical AI across 10 therapeutic areas and 42 hospitals, with over 96,000 patient conversations
Summary
Health systems are under increasing pressure to manage chronic patients with limited clinical capacity. Heart failure is a clear example: patients require continuous follow-up, early detection of deterioration and coordinated care to reduce avoidable readmissions.
Tucuvi's clinical voice AI, LOLA, was deployed to support structured patient follow-up, helping care teams monitor patients remotely, collect relevant clinical information and reduce repetitive follow-up workload. What started as one use case evolved into a scalable model across 10 therapeutic areas and 42 hospitals.
