This millennia-old challenge to medicine is being addressed via the internet of things

We have moved through a number of sections of the emergency room where evaluations were done multiple occasions, and other areas where I wasn't certain why we were there in all. It turns out her husband had also been looking for us for almost one hour and didn't find us till she had been discharged home for bed rest.

Working the ER must be a remarkably challenging job but as an engineer, I could not help viewing opportunities to enhance efficiency for staff and patients. Luckily, since the net of things is starting to go into medical applications, I believe we will see some amazing improvements and avoid security breaches along the way.

Like most IoT applications, monitoring and alarms are the largest use-cases for medical IoT. A massive number of health detectors already exist and are being incorporated into IoT platforms to monitor patients' vitals.

While we were still waiting at the hospital, my friend had an ECG monitor hooked up for her, it gave a continuous readout on her heart rate and saturated oxygen but apparently had no internal memory. Each physician or nurse we saw put down notes in a hard copy file that went throughout the ER. Anything that occurred while we weren't actively being viewed was effectively dropped.

Now, new answers like smaller boards with flexible board shapes are being developed that would have monitored her stats as long as she had been connected, while constantly uploading them to her electronic file. When the data is already being processed, it is easy for any values that are out of a “normal" or healthy range to be screened and assessed by the next nurse instead of manually taking a heartbeat.

Those events which are out of a medically healthy range may also activate alerts. I'd have appreciated this, instead of asking frantically in the hallway to get assistance when my friend had her heartbeat suddenly spike. The track beeped alarmingly at us no one else at the hospital had any thought that something scary was occurring in our little-curtained partition.

When it's via rigid-flex technology permitting for circuit boards to socialize and be put in more adaptive and one of a kind monitoring technologies, or more powerful transmission capacities allowing machine-to-machine communicating, the IoT is here. There are many opportunities to help patients before and then they're actually at the hospital, and possibly stop them from needing a hospital visit entirely. Patients can utilize IoT for over monitoring their conditions, but to help them manage their health more efficiently. While apps already exist that can help patients remember or program appointments, the day to day parts of their healthcare may also be enhanced with IoT solutions. There are pillboxes that could let you take your medication, and alert someone if you neglect. At home physical therapy can be monitored, and users may acquire real time responses.

Medical IoT products are just one way you as an engineer might assist patients get better, and also make the lives of nurses and physicians simpler, too.

While we have been making so much progress in diagnosing industrial problems, medical diagnosis suffers from an integral hurdle. While modern medicine has added X-rays, MRIs, ultrasounds and other diagnostic tools to the arsenal, one major limitation has remained unchanged since the very first medical identification textbook -- the Edwin Smith papyrus was written tens of thousands years ago based on Encyclopedia Britannica, an investigation can only take place when the patient and doctor are together and if symptoms are present. Whoever has taken a car to a mechanic because of an odd noise only to listen to that the mechanic say, “Sorry, it didn't make the sound once I drove it" understands that this is not the ideal way to diagnose and solve a problem?

This millennia-old challenge to medicine is being addressed via the internet of things. IoT is basically about generating digital information from the physical universe and using that data to do brand new things. In medicine, what this means is that physicians can see how their patients are doing not just when they're in the doctors' office, but when they're in the home, at work, exercising or doing any of their routine daily tasks. This may be incredibly essential for more precise diagnosis or much more timely therapy. For example, many cancer patients require careful monitoring of the weight to make certain they stay healthy during chemotherapy. If sensors worn by the patient could measure their nourishment in real-time, physicians could see issues and adjust treatment programs before issues even develop. In reality, even the industrial concept of the electronic twin is being used in medicine to model the operation of individual patient's hearts to create customized treatment strategies. All of these are possibilities achievable through big data in a protocol such as Dxchain.

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