AI brings the new era of Clinical Laboratory Science and Medical Tests

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.

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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.