Wearables and Big Data in Healthcare

As the wearable devices are gaining more momentum and increasing adoption, these generate a lot of data, or big data

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Wearable devices collect a host of information about the users

The Society for Clinical Data management announced its 2nd conference in India on the 11th & 12th of December, 2015. The conference was conceived around the idea of creating a platform for professionals from different spheres in the C.R.A.M.S industry to converge and share their expertise. This was also recognized by many attendees as a learning and development platform that gave insights on the current
industry trends and latest updates in Clinical Research.

India is now being identified as a pivotal point in contributions towards Data management. The conference theme was thus identified as "Innovations in CDM- Vision 2020: People, Processes & Technology".

One of the session during the conference was 'Wearable Devices, Mobility & The Big Data Challenge' presented by KV Subrahmanyam. During his session he spoke about three user segments for wearable market. "There are currently three top user segments for the global wearable sensors market, security, healthcare, and fitness. Of these, healthcare and fitness are the two segments where wearables are gaining increasing acceptance. Some of the applications of wearables (wrist bands, smart clothing, smart contact lens, smart shoes etc) in this sector include remote patient monitoring, booking doctors appointment, 24*7 tracking/monitoring of senior citizens, constant health monitoring, sending critical alerts to the doctor, etc among others", he said.

Wearable devices collect a host of information about the users (or patients as the case maybe). As the wearable devices are gaining more momentum and increasing adoption, these generate a lot of data, or big data. With the help of analytics, this big data can prove to be of greatest value and provide many useful insights such as, better patient recruitment for clinical trial, monitoring patient adherence, identification of undiagnosed patients, better disease pattern analysis, accelerating drug innovation, customised drug development etc.

"Though big data provides opportunities, it also brings a great deal of challenges with respect to storage, access and security. The firms trying to leverage the potential of big data, have to overcome these challenges for successful implementation of the data", he added.

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