AI in Optometry: Give Your Practice an Edge by Accelerating the Inevitable

Eugene Shatsman: I went and I chatted with a real person. And the first question that I said was something like, I live in such and such a zip code, which location is closest to me? And the chatbot nailed it. In seconds, I had my answer. The human made it so difficult.

Bethany Fishbein: Hi, I am Bethany Fishbein, CEO of The Power Practice and host of the Power Hour Optometry podcast. My guest today is Eugene Shatsman, returning to the podcast. Eugene is the managing partner of National Strategic Group and a popular speaker on artificial intelligence, which is the topic of the podcast today. So, Eugene, thanks for coming back in a different capacity to talk about a very different topic that I know on a lot of people’s minds.

Eugene Shatsman: Yeah, happy to be here. And I think we’re all just trying to figure it out along with the rest of the marketplace.

Bethany Fishbein: Talk about just kind of where your initial interest in AI came from. I guess we’ve always talked about marketing and thought of you as the marketing guy. So how does artificial intelligence come into play?

Eugene Shatsman: If you think about what we do, just to give your listeners some context, we work with roughly 1,500 doors and doctors coast to coast, and we’re always trying to find ways to really innovate the way that our clients are seen in the marketplace and to make them look a little bit different than the other choices that patients have in their marketplaces and to really position our clients as a unique and exciting choice. When you think about what that takes, it requires us to think really strategically about the different content that we’re developing, about the different positioning techniques that we’re using, and certainly about the technology that we’re using to make sure that our clients are picked by their patients over the competition. And so when we think about technology, we’ve always said that, hey, we want to spend some percentage of our time on innovations at National Strategic. But the technology that we use today on a regular basis has to do with what we call accelerations, delegations, and really just getting higher and better yield from the same amount of effort just so that we can do more for our clients in the markets that they serve.

Having said that, AI really hit the radar for us when ChatGPT became kind of really mainstream, and we said to ourselves, well, there are lots of different things that we write every day, and we have a full team of writers who have studied optometric terms and who really understand what ocular surface disease is and what all the contact lens options are in the marketplace and all of the things that we’re really well-educated on. And we asked ourselves, well, there’s a lot of people writing random stuff with ChatGPT. Let’s see how that stacks up against our own writers. And so we started looking at that as the first kind of AI tool when ChatGPT was in beta and Google BARD came out. And then that kind of led our entire team to get really energized and excited about, well, what tools are there? And by the way, ChatGPT didn’t do a great job compared to our writers, and I’ll give you more context on that. But the idea came out to say, well, what are all of the AI tools?

There are websites that just list hundreds and hundreds and hundreds of AI tools that are out there. And we said, well, there’s got to be something to this processing power, to this AI intelligence. Let’s challenge our entire team. We have over 100 people on our team. Let’s challenge as many people as possible on that team to look at AI and to look at different tools that they could use in their day-to-day to be able to do more and better work for our clients. That’s kind of where our exploration started really early this year.

Bethany Fishbein: Just to clarify, just in case anybody has their finger on the pause button or something, is your interest primarily in AI for marketing purposes, or you’ve gotten into how this can be used in optometric offices in all kinds of different ways?

Eugene Shatsman: Yeah. If you think about what marketing really is, marketing is not just, hey, I made you a website. Marketing is about connecting the patient to the practice and then getting that patient to come back to tell their friends and family, getting that patient to have the best possible experience. And so while some of the things that we have direct control over are that kind of initial patient experience, patient communication, up until and after the phone rings and they schedule their appointment, but once they walk into practice, there may be some other opportunities that happen afterwards too that could potentially be enhanced with AI. And we as marketers would be foolish to not really think about how is every single thing that we do in the practice part of the future revenue system of the practice as well?

Bethany Fishbein: I think that’s perspective worth thinking about because I think you’re absolutely right that when people hear marketing, they think about something that draws new people into the practice. But you’re right. It’s not just that. Drawing new people into the practice, if the experience that they have there isn’t one that’s going to encourage them to spend their money in the practice and return and tell others, then it’s really only a little piece of the puzzle. So thank you for clarifying that. It’s good perspective. When you started looking at this, was there an element of fear? I know it’s something we talked about with Dr. Boparai on the podcast in the past of is this going to replace us? When you guys first typed, hey, write a blog post on whatever into ChatGPT and one came out in a few seconds. Was there an element of nobody’s going to need us anymore?

Eugene Shatsman: I love that question. I think some people on our team really did wonder why it is that our company was pushing so hard for AI solutions. And I think where I have always had my perspective is that if everything can be done by machines, then that’s the lowest common denominator. If you think about standing out in the marketplace, which is what really marketing is about. If you think about getting the right patient to make the right decision to pick your practice over your competitors, that’s always going to require human interaction. It’s just that the game has changed because the computers have leveled the playing field again.

The same thing happened with Google. And you just think about it’s just another tool in the toolkit that is ever growing. And if you think about what marketing used to be several decades ago, well, we had limited tools. What could we do for marketing? Oh, we could do TV, radio, that kind of thing. And then all of a sudden, smartphones and Google came out and all of a sudden, the game changed. And this is just another example of the game changing. But there are just really, really nuanced ways that we can look at this game changing impact and make the most of it for early adopters.

Bethany Fishbein: I might be guilty of incorrect thought here. And so this is your opportunity to correct it. But for something like a blog post, right, they tell us, oh, you should have a blog post once a month or twice a month on a different topic for search words. And nobody ever reads the blog. I have heard people saying, oh, you can just use ChatGPT. I spent 10 minutes and I wrote a year’s worth of blog posts for my website. As you guys started to look at this, like you said, oh, by the way, they’re not all that great. What’s the difference?

Eugene Shatsman: This is great. And there’s a couple of different components to this. Number one, the quality of that content, the quality of that content has been improving month after month. I mean, initially it was just blatantly inaccurate. If you ask it for an opinion, which is oftentimes what humans are looking for, is this or this better? Oftentimes it gives you objectively incorrect facts to support the opinion that you can offer. But over time, the content has gotten better. And we have an OD on our team who reviews content. And he’s even said, initially it was just garbage. Now it’s a lot better and not always garbage. But here’s the interesting thing is if you think about the why behind that effort. And by the way, we stopped telling our clients that you have to write blogs as part of their SEO effort, because quite frankly, everybody was using an outsourced team to write some sort of thing that nobody was ever going to read. And so that’s not really value adding. That’s just sort of algorithm hacking. And algorithms are smart enough to evolve. And Google changes its algorithm dozens of times per month. So the reality is if you think you’re going to hack the algorithm and not provide it with quality information, then you’re wrong.

And so just writing a blog for the sake of writing a blog is completely pointless. And the best part is that Google had an interesting keynote in May of this year, where they kind of talked about this completely new AI integrated search experience. It’s called Search Generative Experience. And so Google unveiled it at the keynote in May of 2023.

During that keynote, they showcased the future of search. And so what is the future of search… And by the way, we have gotten our beta access to this. So almost all the employees on our search engine optimization team and many of our employees and client strategy are using this tool on a day to day basis and watching it evolve.

I think the general population doesn’t have it yet. But what you can do, and what Google showed us that you can do, is you can just ask a question like you’re talking to a human. So I’m thinking of going to this location, and I have two kids and a dog. Is this location or this location better? And Google will use the Search Generative Experience to give you several outcomes for your search. So one of them could very well be an objective assessment of does this particular location allow dogs? Is this particular location rated well for kids? Do they have kids activities? And so it can give you some objective facts based off of its analysis on the content of those websites. But then it’ll also feed you things that you yourself, Google knows what you’re looking for. And what you’re frequently looking for is other people’s experience to base your decision on. And so you think about AI making it easier for you to get through the facts, and also making it easier for you to get to the authentic content that you’re really going to use to make your decisions. Does that make sense?

Bethany Fishbein: It does in a kind of mind blowing, completely not making sense kind of way. I guess it feels to me like someone doing all the research for you. If you want to do something, you can go on Google, Facebook, TripAdvisor, and look at other people’s opinions. But it takes some effort. So, this is kind of like asking and someone else has already reviewed that effort, or someone else has already made that effort for you and is just handing you results.

Eugene Shatsman: It’s interesting because imagine a world in which, and this is the exact example that Google gave during their keynote. You’re saying, what’s the best dress to wear for a wedding in Miami in August? And Google says, OK, thanks, challenge accepted. And it searches the entire database of it possibly compares the weather, it tries to decide what it’s going to look like, or what’s appropriate for a wedding versus a different type of outing. And it gives you some options. And then in addition to giving you some options and says, and here’s some shoes that would go really well with that dress. And by the way, here’s some authentic reviews from some influencers who have recorded videos about this particular outfit, so that you can see what it looks like on people and also people reviewing this particular item.

And if you think about that, that’s what search generative experience is really guiding us to, which is changing our relationship with the tools that we use as consumers to make decisions and making it easier for us to get to an outcome that is beneficial for us, which is really what Google has been trying to do for a really long time. But now it’s just saying, well, AI powered search is going to give us some of that stuff faster. And you’re not going to have to like, try to think about the Boolean search. You know, remember like the old library card catalog that you would have to search with like specific quotes and specific ways that you would have to like set it up so that the machine can understand what you’re trying to say. Here it’s saying the machine’s smart enough to kind of know what you’re asking it. Just ask it naturally and it’ll give you the results.

Bethany Fishbein: I feel the transformational nature of this. How does it stand to transform our relationships as optometrists and practice owners with our potential patients, with our existing patients?

Eugene Shatsman: Let me just back up to one earlier question that you asked about those useless blog entries. Do you think that Google’s AI algorithm is going to give any credit to the AI generated stuff that has been written and placed on somebody’s website? And Google, of course, is going to know that this isn’t really authentic content from a doctor. They’re going to know that, hey, this is AI generated stuff that is a similar flavor of somebody else’s AI generated stuff. And am I going to really use that as credit to provide AI generated results for a searcher? Or am I going to give credit to someone who is actually driving value to the consumer experience? And I think that’s the distinction that we have to think about as we think about providing value to our audience, which in this case is optometric patients.

Fast forward now to a world in which a patient is trying to pick the right look or the right glasses for themselves. Google is going to push some choices that potentially a patient could buy online until those choices don’t work. If you kind of look at search trends in the marketplace today, buying glasses online is down by 18% year over year. Buying glasses, if you look at some of the top retailers who sell glasses online, search demand, meaning people typing in glasses at, insert large online glasses retailer, those are down substantially.

So Google is learning that maybe people don’t want to buy glasses online. Maybe people want to buy glasses in store. Maybe this is an in-person shopping type of thing. I will say large glasses retailer that has both online and in-store shopping, their name plus near me, they start with a W, name plus near me has increased by 18% year over year. Obviously, patients are expressing a preference towards making a decision in store for something like glasses. Google is going to know that and so it’s going to share some of the content that’s associated with that.

Now imagine if you happen to be the doctor who understands that this is coming and is creating video, which is the highest value authentic content and is creating video that Google can place right next to its AI generated search results so that user generated authentic content supports the search experience for that particular user.

Bethany Fishbein: So now a patient who’s looking is kind of asking Google like you would ask a friend or anyone else, hey, I need to get new glasses. What’s going to look best on me?

Eugene Shatsman: Right.

Bethany Fishbein: And Google is able to integrate all kinds of information to specifically tell them. But if it knows that a video from your optician talking about here’s great considerations for glasses to match your face shape or something, and it’s perceiving that that’s going to be as valuable or more valuable to the searcher than giving them a list of random websites where they can buy glasses, then all of a sudden we’ve got a new shot at being up there and establishing ourselves in a different way.

Eugene Shatsman: That’s exactly right. And I think that while Google is still learning and it’s very experimentive, when we’ve tried this, when we’ve said, if a patient is going to type in which glasses look best on me, Google will, instead of driving you to some half hearted blog on this, they’ll talk to you about face shape and skin tone and personality as impact points of trying to pick your glasses. And you can kind of learn more about each one of those. And the AI will serve that all on the front page of Google. Right. We haven’t left Google at all. And then eventually it will serve you videos and other websites and places you can shop or places that you can explore and even images and things like that.

So this is all thinking about changing the mindset of search engine optimization as a way to trick the algorithm into picking your business, but more towards the thing that, you know, and we’ve been driving our clients towards this for a long time, which is that deliver value in a way that Google wants to see.

Make it easy for Google to see that when people click on your content, that they stay on that content. They don’t immediately hit the back button because those are some of the things that kind of long term. That’s where the consumer experience is going. As long as many of our consumers are going to start their search on Google.

Bethany Fishbein: And as a Google searcher, I guess it feels like there has been a change recently that I’ve noticed that when you ask it something, very often it is instead of just linking to the site, it’s actually giving you information with a source– that feels fairly new. Now that I’m thinking about it.

Eugene Shatsman: Position zero or featured snippets was something that Google has been experimenting with for about a half a decade. And it’s been kind of more prevalent, less prevalent, more prevalent, less prevalent certain years and for certain topics. But that kind of position zero of like, here’s some information and then here’s where you can check out more or questions now because related questions you might be asking, which is pretty popular now. That’s been something that Google has been experimenting with for about three to five years.

What’s interesting, though, is that some of that stuff is ending up and I get to see the beta live on my screen right now. Some of that stuff ends up in that AI generated result, which is a really immersive experience. I don’t get to like go click on the source of that website nearly as easily as I could have done elsewhere. But that’s where the whole idea of what’s the quality of the content that you’re contributing and what’s that contribution look like. And then there’s this other side, which is Google is obviously incentivized to provide people with quality content, but they’re also economically incentivized to provide people with sponsored content.

So, if Google can make money off of that same wedding dress that you were going to wear to Miami by selling it to you or by driving you to a sponsored listing, a sponsored ad where they can get someone to spend more money on Google ads because they’re driving people to that listing. Ultimately, there’s an economic incentive for Google to do that. So, we have to kind of balance what is our presence as local businesses who serve a community, not necessarily national content providers. We and many of our Optometric clients are going to have to balance the way that we interact with Google and the way that we really experiment with different things to say, we still think that there’s a lot of value in showing up in the snack pack. I think that the snack pack still exists in this environment.

It’s just a little bit different in the way that it shows up. And again, we’ve been playing with the beta, so the cards are a little bit stacked, but we’ve been figuring out ways that we can make sure that there’s value driving content in our snack pack listings and some of the experimental pieces of the listings that we have on Google for our clients that allow us to show up number one and number two and some of the snack pack listings that show up in this search generative experience.

So, these are all new things that we’re trying. But if I think about Google as a driver of potential content, you also have to think about the patient’s experience and then also our experience as both marketers and optometrists and people. There’s tools out there that read your email for you and answer your texts for you.

Bethany Fishbein: Once the patient gets through this search and makes a decision to look further at your office, where does AI come in next to either help turn them from someone who’s just looking into a patient or to improve the service, you’re able to give them? Give a next step here.

Eugene Shatsman: Well, you know, what’s interesting is that let’s say we show up on somebody’s website. This is a real experiment that we did with a real practice. We tried this with a practice that had multiple locations and we installed there were two choices. This practice is actually paying for a service that has live chat on their website that will answer patient questions via chat. And part of that was an attempt to reduce the number of phone calls coming into the office. Part of that was just aimed at patient convenience and just really something that they’ve had for the better part of the last year.

Bethany Fishbein: Is that chat a real person or this is an AI?

Eugene Shatsman: They have a real person that they’ve had for the last year. So they have a real company that they pay to provide chat services on their website. So we did something crazy, which is that we spun up a new chat bot and we downloaded all of the content on their website. We had the chat bot read all of the content on their website.

We said, read every page of this website. And now you’re an expert on this website. And now we expect you to be able to answer questions that anybody asks you as long as that content exists on this website. And then we actually talked to this chat bot and we said, and every other time ask a person if they would like help booking an appointment. And if they say yes, take them to this link. So we just did some basic programming. I’m really oversimplifying it, but there’s some basic programming that we did for that chat bot. Here’s the thing. And this is the objective results. I went and I personally tested this. And I know several members of my team did as well. But I personally tested this where I went and I chatted with a real person. And the first question that I said was something like, I live in such and such a zip code, which location is closest to me? And the chat bot nailed it. In seconds, I had my answer. The human made it so difficult.

They said, here are four locations, you know, which one is most convenient for you? I said, well, I live here. Which one is most convenient for me? You tell me. And they said, well, you know, here are the addresses of those locations. And I said, okay, but which one’s closest to me? And they said, I can look that up for you. And seven minutes into the conversation, I finally have my answer. And then I asked the chat bot and I said, which doctor is at this location? And they told me pretty quick. Now, the chat bot, interestingly, was wrong about the next question, which is, does the doctor accept any new patients? Or maybe I asked, does the doctor see kids? The chat bot just said, yes, absolutely. Would you like to schedule an appointment? Whereas the human said, this doctor is only seeing patients five and older. So let’s just clarify that you, in fact, have a five-year-old or older and you’re not going to bring in an infant. But during this conversation, my interaction with the human, they asked me once whether I’d like to schedule an appointment. And when I had my questions answered at the end of the question answer, they said, is there anything else I can help you with? My chat bot said, I’m glad I was able to answer your questions. Would you like to schedule an appointment?

In fact, my chat bot asked several times throughout the conversation whether I needed help scheduling an appointment and would probably do a much better job of converting the person. The chat conversation took as long as I took to type. The chat bot conversation took as long as I took to type. The human conversation took three or four times as long. And I also had to explain more of what I meant to the human because I think they were struggling to use whatever resources that they had about the particular person’s practice that they were asking. So I think patient communication is definitely something that we should be looking at closely to make sure that we can make our patients’ lives easier once we’ve gotten them past the search.

Bethany Fishbein: Did you tell that you were talking to a chat bot? Or if you were a user, you probably wouldn’t have known.

Eugene Shatsman: I wouldn’t have known. The grammar and the tonality was clunkier on the human than it was on the chat bot.

Bethany Fishbein: So now the patient gets into the practice. So even just what you’re saying is really interesting to think about because I know obviously patients texting in is very, very popular. And I’ve been in this situation as a patient of other offices that have this where I’ll text something and I don’t get a response for 35, 40 minutes. 

And as a practice owner, I get it. They’re probably sitting at the front desk and patients are coming in and going out and they’re working on stuff. But texting to me feels like an immediate response is expected. And by 40 minutes later, if they text, what day is good for you? I’ve already forgotten who I was asking and why. I’m not thinking about it. So the instantness is as appealing as the accuracy and the focus on conversion, which is huge. So now they schedule an appointment and end up in the practice. And it’s funny, you and I have had this conversation not recorded before. But one of the things that I speak about is AI within the practice and testing and stuff like that. But where is the next big opportunity that you see for a patient in the office?

Eugene Shatsman: For me, and I think that you have some really unique perspectives on how you can make an impact on the patient’s experience. For me, it’s about what can you study? What kind of data can you get that previously might be accessible through your EHR, might be accessible through the stuff that you have in your practice, but just not so easy to deal with that you can train AI to deal with? Let’s think about how we typically as humans, we don’t just learn from experience. We learn from a lot of experiments. And so what kind of experiments can you set up in your practice that could potentially lead you to have a better outcome for your patients? But if you got the instant feedback of the data component.

So, for example, and I think about it this way, is if you could train AI to say that, hey, these are the patients that I’m going to do X with, maybe I’ll try something new during pre-testing, maybe I’ll explain something a little bit differently during pre-testing. And then I’ll see at the end of the day or at the end of the week, what the outcome was on the amount of stuff these patients bought from us, or maybe even their feedback for our practice. You have some of those data points in your practice, but you don’t necessarily have that information easily accessible because in today’s environment, a human has to go run those numbers and say all of these patients who went through this and during this week and what were our numbers that point and how do we digest that? You can track patient experience using AI. You can train AI to kind of run just about any algorithm, but then you can go beyond that, too.

You can say, well, what data do I want to pull out so that I can analyze it so I can say I can create what we’ll call patient experience or marketing opportunities afterwards? For example, what if automatically you trained your AI to think about all of your exam only patients or to think about all of your patients who bought less than X? And maybe you trained your AI to say, I can build you an interesting workflow that says, let’s go from, okay, if it’s an exam only patient, maybe on day two or day one, we can send them a what can we do better survey so that we can really understand the exam only. And then two days later, we might be able to send them a danger of online glasses email or like here are the five reasons why people return their online glasses or something. And then four or five days later, if they still haven’t bought because we have access to the data, or if they still haven’t come back, then we maybe send them some sort of discount offer or remind them of our second pair promotion or something like that, that ultimately allows you to take advantage of an opportunity you didn’t have before.

So you think about this workflow automation, that if you can train AI to look at your data, and then to just come up with workflows that ultimately enable you to better serve your patients, AI is a huge accelerant from that vantage point.

Bethany Fishbein: You’ve talked about things that you can do to train AI to do this and train AI to do that. Who trains us to train AI? Because some of the things that you’re talking about are things that we’ve done in my practice, you know, we said, okay, let’s figure out who didn’t get glasses and send them a survey asking, was there something specific they were looking for? What was the reason they didn’t purchase? If there was a brand that they want us to carry? What is it? But all of that was done manually. So is this something that the EHR companies are looking at? Or how do you even get from thinking, this would be a good thing? I wish I had AI to do this to actually being able to make it happen?

Eugene Shatsman: Well, I think and I’m sure there’s lots of really smart people trying to answer the question inside of their own companies, I will say that I haven’t seen anybody. With people who I’ve talked at larger EHR organizations, they said, Oh, my gosh, that’s a great idea. I just don’t know where to start. And so the truth is that this is all blue ocean right now. But the nice thing is that it’s easy enough for someone to kind of come in and say, I want to try this. I just tried this personally. I’m not an engineer. And I would say I understand what code means, but I’m not certainly an expert at writing code. But I tried this and I took a bunch of data, unnamed patient data, where there was no HIPAA stuff. And I loaded it into an AI, essentially data cube. And I said, analyze this data. What can you tell me about these patients? What can you tell me about patients with the highest transactions? Who are my VIP patients? What do I know about them? And I realized that there are certain zip codes that correlate really closely to those things.

This is like huge data analysis opportunity that took me five minutes that would normally take a data analyst days to go through to say, if I know what questions I’m trying to ask, then I might know what to do. Then I can spit out the data a lot faster. So there are lots of tools. There’s something called SheetAI.app. There’s Excel Formula Bot. There’s SheetPlus. These are all tools that are designed to help analyze your spreadsheets. There’s also tools like ChatGPT just came out with essentially an analysis component to it. You have to have the premium version, but if you load a bunch of numbers into it, you can get that analysis. And this is where I think AI is such a good thinking partner.

You can actually plug ChatGPT into US Census data. Well, that doesn’t sound that impressive because US Census data is publicly available for anybody. But the things that would take me hours and hours and hours to do before by looking and scouring the Census data, I can just ask ChatGPT and say, hey, in such and such zip code, what are the top occupations? Hey, in such and such zip code, how many families have an income of over $75,000 and have kids? Because those are my target. And then I know, do I target this zip code or do I target that zip code? And then that’s when we start asking the question, well, if I were to target them, could I target them in a more intelligent way leveraging AI tools to really automate some of that communication?

So unfortunately, the answer to your question is that there’s nobody training this yet. And this is where I guess some of the folks who are coming out early and saying there’s possibility. Part of what I’m trying to do is educate the market that there’s possibility. We should not look at AI as a competitor. We should look at AI as an accelerant and as an opportunity to really think about, given that there’s a possibility to make some of these things happen, let’s try them. Because all of us can learn from each other’s experiments, because there’s nobody with experience. There’s literally nobody who has had years of experience in training AI tools, because they’re just coming out. So, it’s just about experiments.

Bethany Fishbein: Eugene, as always, when we have these conversations, I feel like it’s just the beginning and we could talk and talk and talk more. But I think this is a solid overview, but also just like a taste of what’s to come, how this will be useful for us as consumers, and also how it’ll be useful for us as practice owners in the near future and maybe a window to five or 10 years down the line. My partner Tobin, I think I’m quoting him, but he’s quoting Drake when he says it, but he says, what a time to be alive. That’s how I’m feeling right now. Thank you, as always, for sharing your knowledge.

You got my brain going again, things that I’m thinking about and things that we’ve kind of hypothesized, I wonder if. And having a way to just have those things figured out would make our practice so much better, so much more effective and let us take better care of our patients. So as always, I appreciate your time. I appreciate you being here. Give your contact information for people who want to know more about your agency or want to hear you speak further on this.

Eugene Shatsman: If you go to nationalstrategic.com, you’ll be able to find me or request information and just kind of learn a little bit more about what we do. But my parting thought on this topic is that I believe that there’s a lot of people who are running around and saying, I’m worried about what AI is doing to us or to humanity or to my job or to anything that kind of directly impacts them. And I would say, flip that and just get excited. Absolutely an opportune moment to seize all of the first mover advantages you can and identify all of the different ways that you can accelerate both your personal life, whether it’s AI checking your email for you and helping you organize it, or your business life. If AI is helping you identify your VIP patients or contact your exam only, whatever that looks like for you, think about how AI can accelerate your day to day and make it better.

Bethany Fishbein: Awesome. How do people get in touch with you?

Eugene Shatsman: Nationalstrategic.com. Reach out to me there. I’m happy to be a resource for anybody.

Bethany Fishbein: Thank you so much. And for us at Power Practice, learning about new opportunities, utilizing technology are always things that we’ve done to help practices gain clarity around their business, increase their financial success, and help practice owners spend time doing the things they love to do. So to get in touch with us, you can find us online at PowerPractice.com. Thank you so much.