Medical Technology Provides a Way to Predict Death

Medical Technology Provides a Way to Predict Death

- January 30, 2018

A new article shares how Artificial Intelligence (AI) is helping free up the extremely limited resources we so desperately need in medicine today.

The U.S. Food and Drug Administration (FDA) has approved a life-saving prediction.  This prediction is actually the first algorithm that monitors the vitals of a patient to predict potentially deadly events hours before they could have happened.

What is it?

The algorithm, named the Wave Clinical Platform, is used to predict sudden death from respiratory failure or heart attacks.

The Wave Clinical Platform, was developed by medical technology company ExcelMedical.


How does it work?

The Wave Clinical Platform is able to detect subtle changes in vital signs.  It monitors patients continuously, which is something we have found to be pretty much impossible for human doctors and medical professionals to accomplish.

It sends alerts up to six hours before a potentially deadly event could take place.

Staffing, which includes nurses and physicians, is one of the many resources that we have found to be limited in our current healthcare industry.

The new FDA-approved system is also reported to be able to monitor vital signs connected to one another.

Let’s say a patient suffers a minor increase in their blood pressure.  We may not believe this to be anything serious as a standalone sign, however, when this blood pressure increase is combined with a decrease in that patient’s respiratory rate, or in conjunction with a decrease in their oxygen saturation, this could mean that the patient in question may have a potentially serious event happening soon.

Here at MedTech Impact on Wellness, we would agree that Artificial Intelligence (AI) has already been proving to be very useful in many medical specialties and areas within healthcare.

Although many feel it is only in its infancy stages, it’s believed that AI along its development will also help speed up medical research by assisting researchers perform difficult tasks far quicker.

To read more, click here to read Futurism’s other article about assisting researchers.

On the topic of limited resources in medicine, we foresee that we will look to AI for a way to diagnose diseases quicker, and then once those diagnoses occur, we are hopeful that new algorithms may be able to help physicians recommend various options for treatments. This will help doctors better allocate their resources.

We currently have machines and computers with the ability to scan images for abnormal findings. What we need is algorithms like the prediction algorithm above, that can assist in keeping medical staff aware of any developing issues.  If this was the case, doctors would be able to solve one of the most difficult, ongoing problems with current medical resources, which is the lack of time they are able to spend with their patients.  We are hopeful for the day AI can be the answer to this!

For more about AI and the topics covered in the most recent MedTech’s Impact on Wellness educational track at the A4M Las Vegas in 2017, please click here.

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