TurnUp raises €2 million to help healthcare providers reduce no-shows

· Source: Tech.eu - Tech.eu · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Ghent-based startup TurnUp has secured €2 million in seed funding, led by Newion with participation from RDY Ventures, to expand its AI platform for healthcare providers. The platform aims to reduce costly no-shows, automate appointment management, and optimize available capacity. Founded in 2022, TurnUp's AI system integrates with existing practice management systems, predicting missed appointments by analyzing historical patient data and scheduling patterns. It proactively engages patients through targeted communications and automates tasks like confirmations, cancellations, and waiting list management. Its AI receptionist, Elissa, handles multi-language patient contact outside office hours. Currently serving over 250 practices and 2,500 dentists across Belgium, the Netherlands, and the UK, TurnUp reports preventing over 500,000 no-shows and saving significant administrative hours. The new capital will fuel commercial expansion and accelerate growth, particularly in the UK, where a pilot with 400 practices is underway.

Key takeaway

For healthcare operations professionals aiming to reduce patient no-shows and administrative overhead, TurnUp's €2 million funding validates AI-driven appointment management. You should evaluate AI platforms integrating with existing systems to predict missed appointments and automate patient communications. This approach can free up reception teams and improve clinic capacity, preventing hundreds of thousands of no-shows. Consider piloting such a system to quantify its impact on your practice's efficiency and revenue.

Key insights

TurnUp's AI platform predicts and automates appointment management, significantly reducing healthcare no-shows and administrative burden for providers.

Principles

Method

TurnUp's AI platform integrates with practice management systems, analyzes historical data and external factors to predict no-shows, then automates patient engagement and appointment logistics.

In practice

Topics

Best for: Executive, Investor, Entrepreneur, Operations Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech.eu - Tech.eu.