Quantifying Patient Improvement During Human-Robot Interactions

Measure Improvement with Human Autonomy Index (HAI)

Move Beyond Subjective Measures: The Human Autonomy Index (HAI) for Quantifying Progress in Robot-Assisted Therapy

A New Era in Neurological Rehabilitation

As physical therapists, we're constantly seeking objective ways to assess patient progress, especially when utilizing cutting-edge technologies like robotic rehabilitation. Traditional outcome measures, while valuable, often fall short in capturing the nuances of human-robot interactions. This is where the Human Autonomy Index (HAI) comes in, revolutionizing how to quantify patient improvement in robot-assisted therapy following neurological injury.


Understanding the HAI

The HAI is a novel metric that flips the script on traditional assessment. Instead of focusing solely on the robot's contribution, it measures the patient's active participation during therapy. The core principle is simple:

  • Higher patient effort = Lower robotic assistance = Increased HAI score

This approach aligns perfectly with the goals of neurological rehabilitation: maximizing patient engagement and promoting motor relearning. By encouraging patients to contribute as much effort as possible, we facilitate neuroplasticity and drive functional recovery.

Why HAI Matters for Physical Therapists

Objective, Personalized Measurement

The HAI provides a quantifiable measure of patient progress. This data-driven approach aligns with the future of healthcare: value-based care model.

Motivation and Engagement (Gamification)

Seeing their HAI score increase can be incredibly motivating for patients by providing tangible evidence of their progress.

Enhanced Communication

The HAI facilitates clear communication between therapists, patients, and other healthcare providers. 

Implementing HAI in Your Practice

NextStep Robotics is at the forefront of integrating HAI into our robotic therapy devices. Our advanced technology seamlessly tracks and reports HAI scores, providing therapists with valuable real-time feedback during patient sessions.

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Quantifying Patient Improvement During Human-Robot Interactions
NextStep Robotics November 15, 2024
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