Blog
Artifical Intelligence
Time to treat them for what they are: a medically solvable problem.
The current study by Stanford University shows:👉 Even in young adults, gait patterns can be identified that indicate a future risk of falling.
What does that mean in concrete terms?
Falls are not accidents. They are symptoms - just like Alzheimer's or other neurodegenerative diseases. And they start early.
As an occupational therapist and Market Access Manager at LINDERA, I know this:
- We can prevent falls - if we take them seriously.
- At LINDERA, we have been developing AI-supported solutions for care practice since 2017.
- Our goal: to make falls visible before they happen.
🟢🟡🔴 With our scientifically evaluated "traffic light against falls", we provide care staff, relatives and doctors with a simple but precise early warning system:
👉 JMIR Aging Publication, 2024
Our AI analyzes movement data, mobility behavior and psychosocial risk factors - based on evidence-based research and in close cooperation with medical and care institutions.
With over 15 international publications, we have been doing pioneering work in digital fall prevention for years.
The results:
where there used to be uncertainty, gut feeling or pure documentation, today there are concrete impulses for action - individual, dynamic, effective.
My appeal:
- Falls are not part of the normality of old age.
- They are preventable, analyzable - and above all: understandable.
- The technology is there. The data is there.
What's missing now is the collective will to stop putting off fall prevention.
Let's work together to ensure that preventable falls do not become preventable care cases.
