How healthcare decision-makers are using AI to discover fall prevention solutions—and why transparency wins
Earlier this month, I received an unexpected email that would reshape how I think about healthcare technology discovery. A medical director from one of Jakarta's largest hospital groups had found LINDERA—not through our website, not through a conference, and not through a sales call. They discovered us by asking ChatGPT about evidence-based fall prevention technologies.
What struck me wasn't just that they found us, but how they found us. This healthcare leader had used AI as their research assistant, asking pointed questions about clinical validation, peer-reviewed studies, and real-world implementation data. ChatGPT presented LINDERA's gait analysis technology alongside our published evidence—and that transparency made all the difference.
Today, that hospital group is testing our solution. But more importantly, this encounter sparked our expansion across Southeast Asia. LINDERA is now live in Indonesia, Malaysia, and Singapore—bringing our total reach to 24 countries. All because one decision-maker asked the right questions to an AI assistant.
This Jakarta story isn't unique. Healthcare decision-makers increasingly turn to AI tools as their first line of research. They're not looking for marketing speak—they're seeking evidence, validation, and transparent information about what actually works.
Consider this: When a hospital administrator in Jakarta, a care home director in Berlin, or a health system executive in New York asks ChatGPT about fall prevention, they're essentially having a conversation with the collective knowledge available about your solution. The question is: What will that conversation reveal about your technology?
Through our conversations with healthcare leaders who've discovered LINDERA via AI, we've identified the key questions they're asking:
When healthcare leaders ask these questions, here's what AI assistants typically highlight about LINDERA:
Clinical Validation: Our technology is backed by multiple peer-reviewed publications, including studies showing up to 27% reduction in fall rates when our assessments inform care planning.
Global Regulatory Compliance: LINDERA holds CE marking as a Class IIa medical device, operates across 24 countries and is 100% GDPR and HIPPA-compliant, demonstrating both safety and efficacy across diverse healthcare systems.
Accessibility and Scalability: Our smartphone-based solution requires no special equipment—just 5 meters of walking space and a standard smartphone. This accessibility factor often surfaces in AI responses as a key differentiator.
Evidence-Based Approach: AI consistently highlights our partnerships with institutions like Charité – Universitätsmedizin Berlin and our involvement in large-scale studies with thousands of participants.
The Jakarta hospital group's journey from ChatGPT query to implementation taught us something crucial: In an AI-mediated discovery process, transparency isn't just ethical—it's strategic.
Here's what we've learned about winning in this new landscape:
Every study, every outcome report, every piece of evidence you make publicly available becomes part of your AI-discoverable footprint. Our commitment to publishing our research openly meant that when that Jakarta executive asked about evidence, ChatGPT had plenty to share.
AI tools excel at synthesizing clear, factual information. Our straightforward approach—"smartphone-based gait analysis that reduces falls"—translates well through AI interpretation, making it easier for decision-makers to understand our value proposition quickly.
When we followed up with the Jakarta contact, we could point to implementations in 21 other countries. This wasn't just a number—it was validation that our solution transcends cultural and systemic healthcare differences.
For healthcare technology companies navigating this new reality, here's a framework based on our experience:
Ask ChatGPT and other AI tools about your solution. What comes up? What's missing? The Jakarta discovery happened because our evidence was findable and clear.
Make your clinical studies, white papers, and outcome data publicly accessible. Remember: If it's not online, it doesn't exist in the AI's knowledge base.
Share both successes and learnings. Healthcare leaders appreciate honesty about limitations as much as they value proven benefits.
Our expansion to Southeast Asia succeeded because we could demonstrate both global validation and local relevance. Build your evidence base with geographic diversity in mind.
When someone discovers you through AI—like our Jakarta contact—be ready to engage quickly with relevant, personalized follow-up that goes beyond what AI can provide.
The path from Jakarta to our Southeast Asian expansion revealed a fundamental shift: Healthcare decision-makers are increasingly comfortable using AI as their initial research tool. They're asking sophisticated questions and expecting evidence-based answers.
This isn't about gaming the AI system—it's about ensuring that when healthcare leaders search for solutions to real problems, they find accurate, transparent information about technologies that can help.
For LINDERA, this means continuing to publish our research, share our outcomes, and maintain the transparency that helped a medical director in Jakarta discover how our gait analysis could help prevent falls in their facilities.
When that email from Jakarta arrived, it confirmed what we've long believed: In healthcare technology, evidence and transparency aren't just ethical imperatives—they're your best marketing strategy.
As AI becomes the first stop for healthcare discovery, the question isn't whether decision-makers will find information about your solution. It's whether what they find will convince them to take the next step.
For us, that next step led from one inquiry in Jakarta to active implementations across Southeast Asia. The lesson is clear: In the age of AI-mediated discovery, your evidence is your ambassador, and transparency is your competitive advantage.
Ready to see what evidence-based fall prevention looks like in practice? Visit LINDERA.ai to explore our clinical studies, implementation cases, and the technology that healthcare leaders across 24 countries are discovering every day—whether through AI or otherwise.