It is hard to believe that it’s been almost eight years since the first Fitbit was introduced. Since then, wearables have gone from simple step counter, to total fitness trackers. But it doesn’t stop there; soon they will be more sophisticated health trackers which will open up even more innovative use cases for healthcare.
Wearables are currently tracking things like heart rate and other fitness measurables. But wearable technology and other connected devices are going to start tracking (if they aren’t already) health data far beyond heart rate. With the potential to change the healthcare industry, will wearables be the key to a healthier society?
New connected wearables are being developed every day to track metrics like blood pressure, glucose monitoring, body temperature, stress data, breathing, posture and much more. The data collected by theses wearables can be given to a doctor or can be combined with platforms like Amazon Echo, Your.MD, and other healthcare chatbots as interfaces, to be used in disease prevention, the treatment of chronic diseases, and disease diagnosis.
As a Wired article points out, “we are moving beyond simple wrist-based accelerometers. Smartwatches regularly capture heart rate, and soon may add cuff-less continuous blood pressure monitoring and glucose measures.” Soon these technologies will be able to help save lives, but there is an elephant in the room that must be addressed.
Simply having a large amount of data from different devices and apps does not, by itself, translate to better health and prevention or enhanced management of disease. The data and analytics need to connect with clinical efforts to be translated into knowledge and actionable intelligence. This means that any information flowing from wearable devices is delivered and presented to the clinician or doctor in a useful, actionable form, and preferably in real time.
To connect the data with clinical efforts, data analytics needs to be applied to extract the useful information and help make it actionable. To do that, healthcare providers need a platform that can analyze all data coming in from wearable devices so that data can be put to meaningful use.
An Enterprise Data Analysis platform can do just that by helping doctors and other healthcare providers analyze data in real-time as it moves across their enterprise. An Enterprise Data Analysis platform can analyze and reconcile 100% of data in real-time for accuracy, reasonability, and timeliness. Only with trustworthy data can clinical efforts by successful to treat patients.
An Enterprise Data Analysis platform can ensure the right information is collected from the correct sources. Complex data level reconciliation will be automated to validate accuracy along with reporting mechanisms to monitor the quality of the data being collected for analysis. With so much data now coming in for healthcare providers to use, an Enterprise Data Analysis platform can identify issues with data before it’s used for critical decision making.
Hopefully in the near future our wearable technology will provide enough clinical data to help us treat and prevent diseases and lead to a much healthier society overall.
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