Challenging Job

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. Id 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.

Referral Link - https://t.me/DxChainBot?start=kaxvx5-kaxvx5
DxChain's website - https://www.dxchain.com