Insights / News / Covisian among the winners of the AI Hackathon for the CUP of the Piedmont Region
Smiling Cup awarded in the virtual assistant area for patient booking and support
Milan, October 15, 2024 – Covisian Group, an Italian leader in the CX-Tech sector, along with Esosphera, a group company specializing in voicebots, has been named among the winners of the AI Hackathon organized by the Health Department of the Piedmont Region and Azienda Zero, aimed at renewing the Centralized Booking System (CUP) through the use of artificial intelligence.
Esosphera triumphed thanks to the proprietary solution from the Group, Smile.CX Pro, the only one on the market capable of making AI empathetic and accessible, even for the elderly.
The “Smiling Cup” project innovates healthcare booking management by utilizing an advanced algorithm that analyzes patient data and preferences to proactively suggest optimal appointments before requests are even made. The system directly contacts patients via digital channels (WhatsApp, email, voicebot) to confirm or modify appointments, reducing wait times and improving access to care. The solution automates routine CUP tasks, allowing operators to focus on complex cases, optimizing healthcare resources, and reducing missed appointments, positively impacting the entire healthcare system.
The competition involved 97 professionals, divided into 17 teams, who developed ideas for three areas: virtual assistant for booking and patient support (won by Covisian), predictive booking analysis, and anomaly detection in bookings.
The winners, awarded in the Sala Trasparenza at the Grattacielo Piemonte in the presence of Health Councillor Federico Riboldi and the General Director of Azienda Zero, Adriano Leli, were selected based on innovation, feasibility, and impact on patients and the healthcare system.
“Our proposal is perfectly aligned with the group’s philosophy of balancing artificial and human intelligence,” said Fabio Sattolo, Chief People and Technology Officer at Covisian. “By leaving automated tasks to machines, operators can provide their expertise to users, thus balancing operational efficiency with patient needs.”
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