Written with Bradley Blaser (CEO) and Andrew Johnson (CTO) of Liine.

There are many definitions for what artificial intelligence actually is. But one way that we like to explain it is this…

AI is a way to build tools that allow us to categorize or make decisions about data that is traditionally very hard for a computer to categorize.

We think of AI platforms as being super clever. Even more clever than humans. However, some of the tasks we give to computers are actually relatively complex for an automated machine to make sense of.

Imagine I ask you to look at one of my holiday snaps and tell me what you see. Trees, beaches, the ocean, a surfboard… that seems pretty simple, right? Or maybe, I ask you to listen to a conversation between two people, and you tell me what they’re saying. Lots of us could do those tasks without trying too hard. However, these kinds of tasks that we find simple are a little more complex for our old friends, the computers. An AI platform might find analyzing this kind of complex and nuanced data difficult.

So why do we ask these platforms to do stuff that we could do? Well, it’s all about big data. You may have noticed by now, but there’s a lot of data out there. Even before all the digital data, we have to consider the telecommunications that would take many lifetimes to trawl through for a human. Just consider for a second all of the many patient communications that go through a multi-location surgery practice… emails, calls, reminder alerts, texts… It’s impossible for a human analyst to listen to, read, interpret, notice correlations, categorize, organize, identify trends amongst or between certain demographics. Yeah, that’s a bit of a headache! But a language-based AI platform is able to read and use this data in an instant.

Let’s have a look at one example where AI has been used to improve and advance a large multi-location oral surgery. The group implemented this technology, in order to tackle a very specific, very discrete problem: to discover why leads weren’t booking appointments. After using machine learning software, the surgery was able to generate millions more in new patient revenue, because the computer was able to sort through the huge amounts of patient data. This ultimately aided new patient acquisition. Artificial intelligence is able to do things with data that otherwise would require many, many employees spending hours with the data.

Other AI platforms tackle other specific and discrete problems, such as billing. Based on historical data concerning success rates in receiving payment, the software makes suggestions on who to target first. This might be based on treatment type, or based on demographic. There are so many variables at work that a person won’t be able to take into account. AI does it all for us. An intelligent platform gives you the time and the knowledge to expand your practice easily and quickly. Why not sit back and let the machine do its thing…

Liine is an AI-powered patient acquisition platform for medical and aesthetics practices. By call-recording and automating lead management, it is an all-in-one solution for converting more new patient calls and web forms into patients. The technology simplifies patient acquisition by capturing all phone and online inquiries in a single platform. The platform can help practices make data-driven decisions by capturing the key marketing and patient acquisition metrics and can also manage front-line operations. Artificial intelligence solutions can help to modernize your oral surgery, and drive your digital transition.

You can find out more about this AI platform by visiting www.liine.com.

Read more about the Future of Oral Surgery here.

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