consumer health and fitness wearables, such as the Fitbit, but many don’t know about the existence of medical-grade devices until they have to use one. Historically, there has been a significant divide between the two (consumer and medical-grade devices) as a result of data quality and context: data that is good for lifestyle improvements vs. data that meets medical standards and aids medical use cases. The divide between consumer and medical devices is quickly being bridged as technology evolves to offer advanced sensors and form factors that lead to the creation of a wearable that combines the best of both worlds. We’re generating more and more high-quality data to feed our insight-producing algorithms, which not only deliver the personalized results so often discussed in the industry but, more importantly, the ability to preempt medical crises. One example of the potential for consumer healthcare devices is the aforementioned Fitbit’s recent application in clinical trials. Fitbit is said to be used in 500 or so clinical trials currently, including trials for congestive heart failure where a continuous picture of activity is relevant to the provider. We’ve even seen its use in pharmaceutical clinical trials for neurodegenerative disorders, where the ability to remotely track motion shows how the drug impacts a patient’s day-to-day, instead of only gathering this data from patient diaries. Additionally, we’re seeing other major consumer technology companies move deeper into the device space. For instance, Apple, with its latest upgrade to the Apple Watch, allows for medical-grade EKG monitoring directly to consumers. It’s even viable for a doctor to use as a supplement in treatment and diagnosis. The volume, quality, and context of consumer #healthcare #data is wide-ranging. Healthcare wearables need careful scrutiny before medical-grade use cases. || #IoT #DataAnalytics #BigData #Wearables @MedicalGuardian @Viva_LNK Click To Tweet These healthcare data points have to be considered in context. The accuracy and quality of data from consumer wearables are wide-ranging, and thus their use needs careful scrutiny when it comes to medical applications. In the world of remote patient monitoring (RPM) and the Internet of Healthcare Things (IoHT)—where devices remotely and continuously gather meaningful data on the state of our health before, during and after a health event, there are three main considerations for context, described below.Most people are aware of
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