The Rise of AI: Personalized Healthcare Solutions

1
The Rise of AI Personalized Healthcare Solutions
The Advancement of Design The Rise of AI. For
ages computer scientists have been trying to push
the limits of programing to create AI systems
with the human-level intelligence from their
ever-expanding knowledge pools to decision
making abilities. However, results were limited
as the system was only as advanced as the
knowledge added to it. The new approach is to
create systems that are capable of learning by
extracting rules and evaluating cause and
results from the data fed to them and direct
observation from choices made. With a base
provided by traditional AI protocols and big
data, augmented by deep learning and predictive
analytics, an evolution of healthcare methodology
is dawning. A faster and more reliable trend
line, or risk score can be achieved through
predictive analytics driven by enhanced AI
systems, resulting in a heightened personalized
healthcare program that could prevent the
declining of health through Predictive
Healthcare.
What is Personalized Healthcare and How is it
Different from Personalized Medicine?
2
Before we get into where AI fits into all of
this, we need to separate two very different
categories from each other Healthcare and
Medicine. Isnt healthcare and medicine the same
thing? No, these two things may seem to be the
same, but they are, in fact, very
different. Personalized Medicine is using your
descriptive data to figure out the right drug, at
the right time with the right dose to treat
whatever is ailing you. It focuses on using
descriptive analytics. Think of it as just
making use of historical data as descriptive
analytics does not include forecasting or
trending. It is simply the process of turning raw
data into a report. It is just matching your
personal profile with the ailment to address the
current situation. It leaves a lot to be desired
in terms of preventative healthcare as its only
preventing further decline rather then
preventing the decline entirely. Thats where
Personalized Healthcare comes in, as it uses
Predictive Analytics to assess an accurately
detailed, precise trend line of potential health
risks, often referred to as a Risk Score. The
key difference between healthcare and medicine
here is the ability to extrapolate the course of
future events from descriptive data, in order to
tell a provider what is likely to happen soon,
which can only be done through incorporating Big
Data, and AI Deep Learning technology to derive
what is known as Predictive Analytics. Predictive
analytics is revolutionizing the healthcare
industry as we can now treat to prevent decline
rather then treat to prevent further decline.
3
Personalized Healthcare Through AI Predictive
Analytics. Lets use Personalized Healthcare
Programs to treat illnesses before they ful ly
occur, but theres no guarantee that they will
even acquire this illness so how can you treat
for it? Simple, we cheat, and by cheat, I mean
we use Predictive Analytics derived from
Enhanced AI functions. Using a solution based on
predictive machine learning will enable of huge
amounts of data over large time periods from
multiple projects and use correlations and
statistics to come up with more precise
estimates. This implies that with experience
comes knowledge and expertise, which the AI can
leverage in a far greater capacity. By using
this new technology, we can address potential
health issues on the likelihood of occurrence by
referencing the individuals descriptive data
against vast scores of other descriptive data
and assessing the change of progression towards
different health issues from trends shown from
others of similar profiles. The objective of
using Predictive Analytics is that we can improve
long -term engagement and reduce the risks
associated with chronic diseases, which will lead
to more preventative care and less
post-manifestation treatment, an end goal for
healthcare. While everyone is different, there
are common risk factors for every illness that
when addressed and mitigated, significantly
lower the chance of occurrence or minim ize the
effects of manifestation when it does occur. It
is at this point the Predictive Healthcare takes
on a new form called Prescriptive Healthcare,
which using prescriptive analytics derives the
optimal treatment methods.
4
The Goal Prescriptive Healthcare. Prescriptive
Healthcare can be thought of as an approach like
Predictive Healthcare but goes one step ahead
where Predictive Analysis is replaced with
Prescriptive Analysis. This is where
Personalized Medicine meets with Personalized
Healthcare as Prescriptive analytics. It can
tell a user what course of action would produce
the highest likelihood of maximum benefit when a
predicted event does occur, which ties flawlessly
into Personalized Medicines approach. This
proactive approach allows you to more efficiently
address your clients needs reducing the costs
of time and energy. Since AI has access to Big
Data and Deep Learning capabilities it can
identify patterns and trends too complex for
humans or other automated techniques. Since the
AI is aware of the current standings of each
patient a change in one area allows for the AI
to react and prescribe advisable treatment
options based on these markers we may miss. As
a result, the client gains peace of mind as they
no longer need to worry since we understand
their needs, and we can accurately assess
growing risk factors and address them before
they become major health concerns. The outlook
of such AI advancements would change how
healthcare is approached in its entirety.
Although AI isnt there yet from prediction to
prescription, it has reached this point in
Personalized Medicine, and thus it is only a
matter of time until Personalized Healthcare
becomes common place. To know more about how
Artificial Intelligence is promoting better
healthcare and transformation in other
industries, drop us an email at
inquiry_at_cygnetinfotech.com or call us on
1-609-245-0971