Gray booklet vs. everyday care: Do all expert standards need an AI translation?

An honest confession: the expert standards are 100% correct in the books. Every nurse knows that. But hand on heart - when was the last time you enthusiastically opened a gray DNQP booklet?

🔗 Register directly for the webinar ➡️

Everyone knows the dilemma

You work with evidence-based care. Pressure ulcer prophylaxis, pain management, fall prevention - technically undisputed, practically often cumbersome. The gap between "this is right" and "this is feasible" is widening every day.

Take fall prevention, for example: the standard is technically well written. And yet: risk assessment, documentation and actual prevention are often worlds apart. At LINDERA, we have connected these worlds with AI - and gained some surprising insights.

The central question

Can artificial intelligence build the bridge we all need? From evidence-based theory to living care practice? Or are we just creating new problems?

This is a question that we at LINDERA deal with every day. That's why I'd like to invite you to an honest discussion:

Webinar: Expert standards and AI - Where is the bridge?

📅 Thursday, July 10, 2025
🕙 10:00-11:00 am
💻 Online & free of charge
🎯 For care professionals who want to have their say

What you can expect:

🔍 Honest stocktaking
Where is the implementation of the expert standards really lacking? Let's say what everyone thinks.

🤖 AI reality check
Our experience with AI fall prevention - what works, what doesn't?

🗣️ Your perspective
Which standards are most in need of "translation assistance"? You help decide.

💡 Looking to the future
Can we finally turn evidence-based care from a paper tiger into a practical helper?

Not a sales event

This won 't be a product pitch. It's an open strategy discussion about the future of our industry. I want to learn from you honestly - where are the pain points? What would really help?

Your practical experience is invaluable to this discussion.

Register now

The future of care isn't decided by algorithms - it's decided by people like you. Make your voice heard.

To the registration →