Streamlined Clinical Trials: How MAI Motion Boosts Efficiency by Easing Participant Burden

Clinical trials are essential for discovering new treatments and improving patient care. However, they can also place significant demands on participants. Repeated, time-consuming physical tests often leave people feeling fatigued or overwhelmed, which may impact their willingness to continue as well as the quality of the data collected. Reducing this burden is crucial to making clinical trials more efficient and participant-friendly. Enter MAI Motion —a smart, modern solution that lessens participant strain while streamlining the entire trial process.

Simplifying Traditional Assessments

Physical performance tests, like the sit-to-stand assessment, are a staple in many clinical studies. Participants are typically asked to stand up from a chair several times in a row to measure their mobility and strength. Traditionally, this involves repeating the test five times (5x STS), but for many—especially older adults or those with health concerns—this can be exhausting.

Recent research shows that three repetitions (3x STS) are sufficient to capture reliable mobility data. By shifting to this shorter protocol, clinical teams can collect accurate information while saving participants time and energy. This not only makes the test less intimidating but also helps ensure participants are more comfortable and willing to take part. For researchers, adopting this approach makes managing trials easier and improves data quality by minimizing fatigue-related errors.

Efficiency Gains with Fewer Repetitions

MAI Motion seamlessly integrates this more efficient three-repetition method. With fewer test repetitions, participants experience less fatigue, resulting in more consistent performance and more trustworthy data.

Making testing less demanding encourages participants to stick with the trial, reducing the likelihood of dropouts and mistakes caused by exhaustion or lack of focus. The result is a balanced approach: thorough enough for robust results, but simple enough to keep participation enjoyable and sustainable. Researchers benefit from smoother studies, and participants appreciate a lighter load.

Harnessing Markerless Motion Capture

The technology behind MAI Motion is truly cutting-edge. Unlike traditional motion analysis systems that require attaching sensors or markers and setting up specialized equipment, MAI Motion uses your device’s regular camera combined with advanced software to capture and analyze movement.

This markerless system means assessments are quick, comfortable, and non-intrusive. Participants simply perform their movements in front of a camera—often a mobile phone—with no need for extra gadgets. The software then uses sophisticated algorithms to track and measure every motion with impressive accuracy. This innovative approach delivers highly detailed biomechanical insights without disrupting a participant’s natural movement, resulting in data that is both authentic to real-world function and comfortable to collect.

Paving the Way for Better Clinical Trials

The advantages of MAI Motion extend far beyond individual assessments. By making physical tasks simpler and less tiring, the technology can help boost participant recruitment and minimize dropouts—two key challenges in clinical research.

When testing is streamlined and participant-friendly, adherence to trial protocols is higher. This leads to clearer, more reliable results, accelerates study timelines, and can ultimately lower the costs of bringing innovative treatments to patients. Embracing these technologies sets the stage for a new era of clinical research—one that is faster, more efficient, and more attuned to the needs of participants.

In Summary

MAI Motion demonstrates the power of combining smarter technology with simpler, more participant-centric assessments. Its three-repetition protocol, along with advanced markerless motion capture , improves the experience for participants while also elevating the quality of the research.

As clinical research continues to evolve, tools like MAI Motion will be crucial in designing studies that are easier to complete, yield more reliable data, and speed up the development of new therapies. The result is a win-win: better science and a better experience for everyone involved.

References

Kai Armstrong, Yan Wen, Lei Zhang, Xujiong Ye, & Paul Lee. (2022). Novel Clinical Applications of Marker-less Motion Capture as a Low-cost Human Motion Analysis Method in the Detection and Treatment of Knee Osteoarthritis. Journal of Novel Physiotherapies, 11. https://doi.org/10.4172/2167-7921.2022.11.053