Wearable data helps identify candidates for Parkinson’s therapies

A study has found that monitoring patients remotely enables clinicians to better make decisions on when to consider advanced therapy for Parkinson’s treatment.

The benefits of applying the Internet of Things (IoT) in the world of healthcare have long been assumed. With improved technology generally comes increased efficiency and ultimately, better standards of care. However, there have been relatively few studies done into how exactly these benefits manifest themselves.

Now, a study on a wearable produced by Great Lakes NeuroTechnologies (GLNT), actively suggests that patients receive better treatment when using it. The wearable system in question is the KinesiaOne.

The KinesiaOne uses wearable sensors that are linked to a web portal. Used in the monitoring of Parkinson’s patients, it was found that the information provided by the system made doctors more aware of variables such as symptom severity and fluctuations in motor skills, giving them an edge that standard care did not offer.

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