Artificial Intelligence (AI) often carries an air of mystery, equal parts futuristic promise and practical tool. To some, it feels like magic: machines that can learn, reason, and even create. To others, it’s a resource with infinite potential, offering new ways to solve old problems, streamline complex processes, and unlock human potential.
Across industries, AI is being imagined as everything from a digital assistant, to a powerful analyst, to a creative partner. It sparks curiosity and sometimes skepticism, because its possibilities seem endless, yet its true impact depends on how it is applied.
This is where OneStep steps in. While the buzz around AI is often abstract, we’re focused on grounding it in real, measurable outcomes, designed to make a difference in people’s lives.
At its core, OneStep’s AI is a clinical-grade movement analysis engine, built to turn raw smartphone motion data into real-world health insights.
Here’s how it works:
- Data Capture
A resident walks with a smartphone in their pocket — that’s it. The phone’s built-in motion sensors capture how they move in real life, analyzing not just steps, speed, and asymmetries — but also balance, gait variability, dual-task performance, cadence, stance and swing times, and other validated clinical markers of mobility. - AI Analysis
OneStep’s AI processes that raw movement data immediately, using a patented, proprietary machine learning model trained on millions of real-life walking samples (across ages, conditions, and environments).
It recognizes clinical gait patterns and subtle mobility changes — things like:
- Stride variability
- Balance control
- Weight shifting and loading
- Dual-task performance
- Changes in baseline mobility over time
- Clinical Translation
That analysis is translated into actionable insights:
- A Walk Score (simple, engaging metric for patients and families)
- A Fall Risk score with breakdown of contributing factors
- Gait and balance metrics aligned to clinical standards
- Flags for potential decline, alerts for intervention opportunities
- Workflow Integration
The insights flow into clinician-friendly formats:
- Auto-generated documentation
- EMR integrations
- Email reports
- Monitoring dashboards
What makes it “AI”?
Using the same state-of-the-art models used for computer vision, large language models (LLM), and protein spatial structure prediction from amino acids, OneStep builds the foundational models for motion. It’s not just data collection — it’s machine learning, built on a clinically validated model. That means:
- It learns from huge amounts of real-world gait data
- It recognizes patterns that may be invisible to the human eye
- It gives predictive insights, not just descriptive ones
For example:
It can detect subtle gait shifts linked to cognitive decline or early fall risk — before a resident or staff member would notice.
OneStep doesn't replace your team - it extends it.
Why it matters for our customers
Our AI acts like an extra set of eyes on the patient or resident, even when your staff isn’t there. It drives greater efficiency, enables more proactive care, and helps improve outcomes across the board.
- Screen faster. Nurses or PTAs can assess residents in seconds.
- Catch issues earlier. AI picks up on decline that might otherwise go unnoticed.
- Act with confidence. Clinicians get objective data to back up decisions.
- Drive revenue. More referrals, more documentation, more reimbursable care.
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