For a while, technology has been transforming the way humans interact and the way businesses conduct themselves. It has largely impacted the healthcare industry, personalizing it to improve diagnostics and providing predictive and enhance care.
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For a while, technology has been transforming the way humans interact
and the way businesses conduct themselves. It has largely impacted the
healthcare industry, personalizing it to improve diagnostics and providing
predictive and enhance care. Accessibility to healthcare is also a result of
emerging technologies and their integration with healthcare units.
While it is a fact that robots and machines will never really replace human
beings in the healthcare i.e. the doctors, and the nurses and other
providers, they will definitely transform a lot of aspects of care in order to
ensure swift delivery, convenience to the patients and better outcomes.
Doctors need to stay updated with the latest diseases that are spreading in
the atmosphere, need to know of the latest research outcomes, and be
updated with the latest cure in the healthcare industry. Imagine walking
into a doctor's clinic, and telling them the symptoms that you are probably
going through. The doctor can, using the computer or their smart systems,
about. This will help them provide better treatment, and promising faster
recovery. When a human looks at your MRI or other scans, it is possible
that they miss out on certain aspects. But, a computer will point towards
the minutest detail making caregiving easy and immediate. Once your issue
is identified, giving care becomes easy and personalized.
When it comes to emerging technologies associated with healthcare, there
are three that immediately come to your mind- Big Data, Artificial
Intelligence and Internet of Things. Combining the three, caregiving has
become more personalized and effective.
Big Data is already huge, and is making quite an effort to revolutionize
healthcare. On the other hand AI is just an emerging technology, yet it is all
set to enter into our lives and improve it in a tremendous fashion. When
you talk about AI, you will see that it has blended in the cars, Google
searches, and in the many live suggestions such as Apple's Siri, Microsoft's
Cortana, OK Google and Amazon's Echo. They use natural-language
processing to help you with basic stuff, and enhancing your interaction.
Now, let's translate this efficiency that has been depicted by AI and Big Data
With these technologies in healthcare, you can organize the patient routes
and personalize the treatment plans for a more targeted outcome.
Let's have a quick look at the changes these two technologies will bring
when integrated together.
Data Management in Healthcare
Data management is one of the primary applications of Big Data combined
with Artificial Intelligence. From collecting the data to storing it,
normalizing it and tracing the lineage, data management plays a pivotal
role in managing healthcare systems. With this terrific combination, mining
through the health records, analyzing them to understand the current state
of the patient's health and their history as well as mining through latest
care through the records and the lineage they hold.
Designing Treatment Plans
For a while, IBM Watson has been collaborating with oncologists to offer
best-in-class care decisions to the patients. A three-pronged approach has
been devised for the same that helps doctors take a look at some of the best
protocols for care to be given to the cancer patients. With CareEdit tools
that come with this massive integration of two technologies, a proper
guideline has been readied for treatment to be given to the different types
CareGuide offers information on clinical decision support system while
CareView helps analyse the outcome of the past clinical decisions, to
understand what type of treatment the patient received, and how did they
benefit from it.
There are apps being developed to deliver mental health treatments in a
remote environment. With this app, people can analyze their own moods,
and gather coping strategies that work best for them.
This combination works best to design treatment plans for Oncology which
has a mix of structured and unstructured data coming in.
Automating Repetitive Tasks
In healthcare you need cognitive assistant that can assist you in clinical
decision making. When used in radiology, it can detect problems and spots
in the images faster and in a more reliable fashion as against when done
Identifying certain diseases, preventing their scalability in the body etc. are
repetitive tasks that can be done using machines. You can feed in some
logic to the machines that can help them identify certain diseases.
Such machines are still in their nascent stage, and some of them result in
poor diagnostic performance, which is why it has not adopted by a huge
If you are unable to get an appointment with your doctor, you no longer
need to wait till it is available. Turn to the app that has derived using a
combination of AI and Big Data which helps in online medical assistance
and consultation. Such system combines personal medical history and
common medical knowledge to offer consultation on the illness. With such
systems, you can tell patients on their issues, the medications they should
take, remind them of these medications, and follow up on how they are
feeling. Basic treatments can be availed with such systems.
With such amazing benefits associated with Big Data and AI, healthcare is
in for a truly reforming time. The remote treatments have improved
significantly, and offer health assistance for chronic diseases to those
residing in remote environment. Accessibility and convenience have
resulted from this combination.
Seashore Partners offers exclusive combination of Big Data, IoT and AI for
your enterprise to scale your business. Partner with us for personalized
This Article is Originaly Published at Seashore Partners Official Blog