While the world is waking
up to the potential of the Internet of Things (IoT) – for Healthcare, this is
rather old news. For the longest time, large, expensive equipment like MRI and
CT scanners have been monitored by their manufacturers. While it is true that
this was primarily done for service and maintenance reasons, the fact that
physical devices were connected and monitored through data networks actually
makes them the forerunners to the IoT technology.
1. Connected
Devices
The Internet of Medical
Things (IoMT) first made its presence felt with network enabled infusion pumps
and heart rate monitors. These were more in line with monitoring the
functioning to ensure that the patient got the best possible care – thereby adding
value to them and their healthcare providers. Today, nearly every piece of
home-based medical equipment, including the likes of blood glucose, blood
pressure monitors and digital thermometers are capable of connecting to the
Internet. Most of them come with companion Apps. Even old school devices have
made use of a USB dongle to give them data sharing capabilities. Case in point
is Diabeto – which converts Wifi-less blood glucose monitors into digital blood
glucose monitors. Add to this the capabilities of health and fitness trackers
and smart watches, and the future only spells more connectivity!
2. Virtual
Reality
Virtual reality has
finally passed through all relevant hype cycles to now become a tangible
service for our connected world. State-of-the-art devices like the Microsoft
Hole Lens and the Oculus Rift are already in use in a variety of healthcare
settings. The availability of cheaper devices like the Gear VR will only make
this more convenient for Healthcare to harness and use Virtual Reality. Typical
therapy areas that have been exploring the possibility of using VR technology
include pain management, treatment of phobias, surgical training, operation
procedure training and even cancer treatment!
3. Artificial
Intelligence
One of the primary needs
that today’s healthcare professionals have is the ability to sift through
gigabytes of clinical studies, drug development and latest therapies to
identify the one thing that can help their patients have better outcomes.
Artificial Intelligence is an invaluable aid in helping them achieve this. Even
today, an overwhelming portion of patient data exists in the form of
unstructured data (physician notes, case histories, admission records, scanned
reports etc.) This makes scanning through data to derive valuable insights not
only difficult but well nigh impossible. With digitization of medical records
this becomes much easier to manage and implement. Healthcare providers like
Talix are using a
combination of comprehensive medical taxonomy, advanced clinical natural
language processing and sophisticated coding and clinical rules databases to
make collecting, collating and analyzing patient data easier.
Even today, we are far
from being a world with an impressive Internet of Medical Things. But the
latest development and rapid strides being made in these key areas assures many
of us that the day is not far when our healthcare systems and practitioners
will make this an essential part of their arsenal. Only then will diagnosis get
better, patient outcomes improve and the industry as a whole move to the next
level!

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