Hospital infection risks rarely appear without warning. The data needed to detect them early already exists in clinical notes, laboratory results, and patient records — yet connecting it in time through manual surveillance is challenging.
In this webinar, we will explore how AI can continuously analyze hospital data, identify high-risk cases early, and help infection control teams move from retrospective reporting to proactive prevention.
What you will learn
- How to identify high-risk patients earlier using existing hospital data
- How to reduce manual review and administrative workload
- How real-time insights support more effective infection prevention
Who should attend
- Infection control specialists and hospital epidemiologists
- Hospital management
- Hospital IT leaders and innovation managers
Save your spot
Join us to discover how leading hospitals are using AI to detect infection risks earlier, strengthen patient safety, and reduce the burden on clinical teams.
Speaker: Sławomir Miazek, Partnership Manager, Datlowe
Date: 16 April 2026
Time: 14:00 CEST
Registration: Please complete the registration form on this page. Once registered, you will receive an email with the link to join the webinar.
Language: This webinar will be held in Polish. More webinars in English are coming soon.