This FDA-cleared application uses a mobile device's motion sensors to objectively assess stability and reaction time. It helps healthcare professionals monitor for signs of imbalance, track injury recovery, and detect instability from medication changes.
Summarized from real user reviews of Sway Medical. Based on 237 reviews and a 2.1/5 average, it highlights the 7 positives and 9 negatives reviewers mention most about this Medical app.
6.1.2
July 28, 2026
What’s new in 6.1.2? - New feature: Support Escalation link to report a Sway testing issue.
9 issues
App crashes mid-test requiring restart
Accelerometer too sensitive, false movement detection
7 requests
Multi-language support (especially Spanish)
Integration with school sign-in systems
Sway Medical is an FDA-cleared application that uses a mobile device's built-in motion sensors to assess a user's stability and reaction time. It provides objective data for healthcare professionals to monitor for signs of imbalance, track recovery from injuries, and detect instability caused by medication changes.
The app utilizes the motion sensors already present in your mobile device to capture data on movement and timing. By analyzing these sensor readings, it can objectively quantify a person's stability and how quickly they react.
This application is designed for healthcare professionals, such as doctors, physical therapists, and neurologists, who need to objectively assess patients. It is particularly useful for monitoring fall risk, tracking recovery from injuries, and identifying instability related to medication.
The app itself is free to download. However, it requires users to have a Sway account to access its features. The description does not mention any costs associated with the account or the service.
Sway Medical offers objective, data-driven insights into a patient's balance and reaction time, which can be crucial for accurate diagnosis and treatment planning. It helps in identifying potential fall risks, monitoring progress during rehabilitation, and detecting subtle changes in stability that might be overlooked through traditional methods.
