Understanding Artificial Intelligence (AI) and Machine Learning: A Tool for Automation Aiding

KW AI Blog 2

Every second, new technology becomes available to make our lives easier. We used to have landline phones instead of cell phones.Now millions around the world have smartphones that can even remind us where we’ve parked our cars. In spite of all of the help, it may provide, new technology can also be hard to adapt and even harder to understand which can create feelings of anxiousness.

Therefore, it’s essential to examine how we feel about technology as well as what we know about the app or service itself.

For example, how do you feel when you see a reminder from Outlook, saying a meeting is coming in 15 minutes? Do you feel agitated that you have to attend the meeting because of the reminder? Do you feel that your space is being invaded because Outlook knows your meeting schedule? Alternatively, do you think Outlook is helpful as you won’t miss your meetings because of its reminders?

Recognizing the interplay between emotions and technology is key to better understanding the gift of artificial intelligence and machine learning and its application in healthcare.

Let’s consider the examples above. A reminder merely is information that assists you to be better prepared of what is coming next. A meeting reminder will let you get ready for the meeting while finishing up what you are working on at the moment; A parked car reminder makes it easier for you to find your vehicle if you’re forgetful or confused about its location.

Now to understand artificial intelligence (AI) and machine learning (ML). It is a lot more like a reminder with a little bit of automation. When a parent leaves home at 4:30 PM and comes back in 30 minutes continuously over a period of time, the smartphone starts to automatically remind the parent to do that when the time comes, even if the parent did not provide any information to the phone or ask the phone to tell him or her.

AI/ML uses the pattern recognition and model to understand that around 4:30 PM the parent is going to school to pick up the kids. Moreover, since it is essential to the parent, the phone can begin to remind the person near the pickup time, which can be of significant help as many struggle to stay on track as they juggle multiple roles and responsibilities in any given 24-hour period.

AI and machine learning applied to healthcare and the provider, clinician, patient and family experience can do something similar. With the mindset of aiding and automation, Acclivity Health Solutions uses its unique approach on AI/ML to put in place a list of reminders for patients around their healthcare,
setting up reminders for everything from wellness appointments to follow-up visits with clinicians after hospital admissions. Moreover, Acclivity Health Solutions’ platform can set up reminders for many healthcare decisions patients and families face — and as all reminders do, they do not force the patient to do anything or act on it.

AI and machine learning guide improvements to outcomes but can’t make them happen. They are just simple automation that assists the patient and his or her care provider, by providing the right information at the right time, which empowers the patient and those treating him or her, with more significant opportunities to achieve a comfortable, dignified, and peaceful life.

 

Kenneth Weng, founder and Chief Technology Officer of Acclivity Health Solutions has over 18 years of experience with enterprise-scale environments, with an emphasis in healthcare. Kenneth’s extensive experience with software production and product development and management allow him to build platform solutions to allow for more concise and accurate tracking and care for patients.

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