Artificial
Intelligence has made a major impact on technology, transportation, banking, and
many other industries. Now AI is stepping into healthcare and clinical medicine
also. Considering its profound capabilities, we can expect some enormous
changes in healthcare through early detection of diseases and metabolic disorders.
How will AI make things better?
AI,
in the form of advanced clinical diagnostics algorithms will evolve the procedures
and effectiveness of disease diagnosis and providing medical care. It will
allow computers to relate diverse clinical literature with patient data to
generate the more patient-oriented outcome report. All the AI systems need to see
the unstructured data like radiologic images, graphs, clinic notes, etc. They
will read the provided medical literature text and convert those to a structured
format.
Bloodless Blood Test: The AI magic
in clinical medicine
No
matter how difficult a task may seem, when AI steps in, even the impossible
becomes easily doable. With the help of IT, it is possible to analyze a large
volume of data and identify patterns that are usually too subtle or difficult
for humans to recognize. These subtle factors play an extremely important role
to alert clinicians about crucial physiologic changes.
The
“bloodless blood test” procedure is
one of the many ways for AI to help and improve the clinical laboratory science
and its professionals.
Traditionally,
blood potassium tests require taking blood and analyzing it. Patients have to
visit doctors’ offices and/or hospitals for tests and consult the specialists
for report analysis. There is a significant limitation for early detection and
preventive measures in such procedure. With the right use of AI, people would
be able to do the test at home, without drawing blood. So the following
procedures will be easier, less complicated and less time consuming.
How clinical labs should be
prepared for AI
Well,
there is no doubt that AI can change the complete clinical laboratory research procedure
and its outcome. But how are you going to leverage from it? Purchasing an AI
system is not enough to bring those changes; you need to take some more
proactive steps for that.
·
Assemble a multidisciplinary team of
right people with the same a single goal in mind.
·
Other than clinicians and lab
scientists, there should be active participation of physicians, hardware and
software engineers, clinical study coordinators, and medical technology experts.
·
There should be a strong partnership
between specialists in areas like cardiac electrophysiology, nephrology, and
hypertension.
·
Experts in IT, data analytics, and
machine learning should always be available to bring betterment and solve
technical issues.
Don’t forget the Limitations
Dr.
Nirali Patel (MD) once said, “Healthcare should be tailored to meet the needs
of the individual… AI can be used to aid physicians in making their diagnosis,
but not replace them entirely.”
Artificial
Intelligence can be a powerful tool for providing solutions for unmet clinical and
healthcare needs. But please understand, there is no way to fulfill the AI potential
without the presence of a solid human perspective. A team of professionals from
both medicine and medical technology fields have to work together to bring
betterment through the right implementation of AI and improve the standard of
providing medical care.
Posted by Top Healthcare Leads for Clinical Lab Scientists Email List
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