From the course: Leveraging Cloud Computing for IoT

Healthcare

From the course: Leveraging Cloud Computing for IoT

Start my 1-month free trial Buy for my team

Healthcare

“

- [Instructor] So let's take a look at Internet of Things and Healthcare. So what are some of the examples that we see out there? We have different devices that we wear that will allow us to gather information that we can show physicians or healthcare providers, perhaps someone that's assisting us in losing weight, someone that's trying to get us into better health. So we have things such as headsets that measure brainwaves over time. The ability to embed sensors within clothing, so it's a very passive way to gather things such as activity, blood pressure, oxygen saturation. Ultimately, the ability to monitor your blood pressure, doing so in an active way, meaning you're taking your blood pressure, or a passive way, meaning it's being done for you. The ability to monitor sugar. The ability to monitor our heart systems. The ability to understand what our pulse is doing. And the ability to look at sensors that are embedded within medical equipment, such as the ability to bring oxygen sensors at the same time that they deliver oxygen to your nose. And really, any wearable technology. And so we're entering a phase where people are wearing sports watches and monitoring watches and smart watches, and these watches not only have the capability of keeping track of our social media accounts and providing text-based features, but the ability to monitor data points out of our bodies and do so using the technology of Internet of Things. So an example is we have a patient which is basically producing IoT data out of the patient's body, and that data is in turn analyzed, and it's being returned in terms of conclusions or diagnostics back to a doctor or even back to the patient themselves. And then ultimately, we're having physicians that are making the decision as to how the patient should be treated. Now keep in mind that we're not changing the way that the treatment occurs, we're just providing a better opportunity for the data to be analyzed to make better decisions about patient care. And by the way, we're looking to move all of this into a public cloud scenario. So instead of doing this with all the local hospital systems or even the treatment room, the ability to push this out to the power and the economy of cloud computing, and be able to make decisions as quickly as you need to make them at a cost that's been unheard of in the past.

Contents