Inflection Point: GenAI and Accelerating Care

This transcript was AI-generated and human-corrected. It may contain minor errors.

Dr. Zayna Khayat: Your ability to adapt the next technology, which we don’t know what’s gonna pop, is actually gonna be your arbiter for success in anything you do.

Katie Bryski: Hello and welcome to Digital Health in Canada, the Digital Health Canada podcast. I’m Katie Bryski.

Shelagh Maloney: I’m Shelagh Maloney.

Katie Bryski: The future is already here, and we’re catching up. Tracking trends, scanning signals, and calling out catalysts are increasingly vital skills for leaders preparing for what lies ahead. In this episode, we welcome two leaders to explore AI’s rapid acceleration, health systems in motion, and where we’re heading, today and tomorrow

And it is our very great pleasure to welcome to the podcast today, Dr. Zayna Khayat, applied health futurist and keynote speaker with affiliations at AMS Healthcare, the Rotman School of Management, Deloitte and Teladoc Health. And Will Falk, Senior Fellow at the C.D. Howe Institute, Executive-in-Residence at the Rotman School of Management, and CSA Public Policy Fellow at the CSA Group.

Thank you so much for being here today.

Dr. Zayna Khayat: Thanks for having us.

Shelagh Maloney: We’re very flattered to have you both on the podcast and Katie and I were talking earlier, it’s like you’re like the power couple of AI and healthcare and everything you do. And not that you’re a couple, but the Sonny and Cher, or what have you.

But people are always interested in finding out about people’s career paths. So Zayna, why don’t we start with you, sort of talk about where you started and how you got to where you are today. Because a futurist is not a job title that a lot of people have.

Dr. Zayna Khayat: I think probably the common thread when you ask this, to everyone is there’s no chance what people thought they were gonna do back when they started, let’s say college, matches anything they do today.

Katie Bryski: I think we had one

Dr. Zayna Khayat: Statistically about right. One prodigy, who knows from birth that they’re gonna be a piano expert or whatever. Anyway, I’m a daughter of immigrants from Lebanon’s, raised in Windsor to a very poor and low literacy family. They escaped war.

And so I knew nothing about anything, and so my dad’s classic Arabic, wanted me to be a doctor. So I studied biology, got great grades, and I got into a few med schools, and then realized in the interview process, I had no desire to heal anybody physically, emotionally, like it was not my jam. I just, I did it to make my dad happy.

And so of course, I knew nothing of what I wanted to do now. And so I went to grad school, which is what we often do when we’re not sure. So that got me to Toronto to SickKids. I did a PhD in diabetes. And then same thing, I was no interest in being a scientist and through a bit of luck and timing, I ended up on Bay Street in strategy consulting.

So that’s where I got all my business chops. Started be intrigued in, you know, I think, which is the common thread of my career, is solving seemingly intractable problems. That’s what I get stuck on and I love to gravitate to. And of course, modernizing our health systems is the one I landed in, and that’s really my career.

So then a few roles in innovation with MaRS Discovery District. Went to Europe for a bit.  And then Chief Futurist at St. Elizabeth Healthcare here in Canada. And then professor with Will at Rotman. And now I am the Chief Program Officer at AMS healthcare, and now that’s all AI, all the time. We give away money to build the next leadership talent for AI in Canadian healthcare.

Shelagh Maloney: That’s a very amazing story. We’re very fortunate that you actually chose healthcare, and so thanks for that. And Will, over to you, let’s hear about your career journey, which I’m sure will be as interesting and circuitous.

Will Falk: Thanks. I’m delighted to be here. I’m a recovering management consultant. I spent about 20 years in New York and Toronto and, uh, retired from full-time partnership at PWC in 2017.

Since then, I’ve done a bunch of policy work during COVID and do some angel investing in digital health and AI. Glad to be here.

Katie Bryski: So we know that innovation is exponential, right? As we look at the. The curve of technology throughout history, but even so like AI feels like it’s different, right? It’s been a real standout for just its speed of uptake, and I’m wondering if we could hear your thoughts on some of the factors that might be behind that.

Dr. Zayna Khayat: I think AI is a big word, so probably what you meant, Katie, is generative AI, like that’s where the speed is. There’s generative AI. Predictive AI, which was, you know, where all the headlines are that’s been around for 30, 40, 50 years. So the ability to, you know, narrowly predict things based on a narrow data set, that’s, I think, moving because compute is getting better and maybe we have a bit more data.

So that’s the driver, but not the same drivers as why gen AI is taking off. What’s coming is agentic AI. Like I just think we need to separate these three worlds and who knows how fast, but that’s just getting going and formal medical care, although very, very fast outside of formal care. And then next is gonna be robotic or embodied AI.

And we are just getting started. So just, there’s four I think about, but the one that’s moving is gen AI. Well, can you tell us why?

Will Falk: Uh, yeah, and I’m, uh, I think the world changed on November 30th, 2022. With the introduction of ChatGPT 3.5 into widespread release. Since that time, we’ve seen amazing pickup in the digital health world.

I’m gonna say at this point, we know that 28% of Canadian doctors are using some form of scribe, and about 35% are using some form of second screen CDS. Those are lightning quick adoption numbers. I mean, we don’t have never seen those kinds of adoption numbers before in digital health applications. And I think they’re fundamentally changing the way that the underlying products work and the way the world works.

So it’s exciting times and moving very quickly.

Dr. Zayna Khayat: And I’ll just add one more monkey wrench in the uptake, speed. So, you know, clinical is where all the attention is. And some of the data we’ll talked about, we’re seeing behaviors we’ve never seen. There’s two other populations, I’d say patients. So the data is out.

It’s about 8% of all LLM type volume, which it matches exactly what Google searches used to be about 8%, which was the number one search. OpenAI just released a paper about some of the patterns of how patients are using AI, generative AI, sometimes as their first point of care. And then a book just came out this week, which we’ll drop from Ed Marx.

He’s the former, I think CIO at Mayo Clinic, just kind of categorizing this phenomenon of this new word, the AI empowered patient. So to me, that has got nothing to do with the formal care system deciding to reorganize itself or not for an AI world. Patients are moving because they have access to all the information and all the solutions.

And then of course, the last area is just kind of everything else. Corporate services, legal, finance, research admin, and life sciences is accelerating scientific discovery, but that’s not really at the clinical care side.

Katie Bryski: Almost like the edges of what we consider the health system start to get a bit blurry with an AI empowered patient.

Will Falk: Yeah, the, the edges get blurry with the patient. They also get blurry amongst the applications, Katie, you know, we’re seeing, I think, a separation between systems of work and the systems of record. That’s gonna be really interesting how that plays out because these systems of work, by which I mean the emerging clinical copilots, are really, um, sitting on top of multiple data sources, in some cases across data sources. I was talking to a, a doc the other day who’s using a scribe and he crosses from Accuro, to Telus, and then has two hospitals, one on a MEDITECH system, and one on kind of a simplified Microsoft.

So four sites of practice. Four different systems of record. But one system of work that works across all of them. Those blurry edges though, you know, Zayna talked about it about on the way into the system. I think that changes what we used to call interoperability in some pretty fundamental ways because as a patient I can do some remarkable things.

Uh, last time I was in with my nurse practitioner, I snapped a screenshot of the OLIS app. I dropped my OLIS results from the last whatever, 17 years into ChatGPT, and I had it do a trend line for me and tell me how I was doing in all my lab stuff. I shared it with a nurse practitioner who confirmed it.

What does that mean for whatever the hell OLIS going forward, or GTA Connect or any of those apps?

Katie Bryski: And just throwing in a verbal footnote for the listeners, OLIS being the Ontario Laboratories Information System.

Dr. Zayna Khayat: I’ll just give another example from a patient lens. So I saw a live demo of a patient with like a semi-competent coder, but not, you know, not that much who had chronic diseases, who had a patient portal.

Because we we’re so proud of ourselves that we’re allowing our patients to see their data. Oh my god. And like Will said that this clinician he just talked about works in four different systems, ’cause that’s how work is now. Like I have six jobs, I have four Microsoft Suites and two Gmail addresses that I gotta coordinate my freaking life around.

Again, interoperability was what we called for. Oh, we need one portal. No we don’t. So this live demo and, and I can drop the link. Basically, the person could design an agent to crawl any portal at any time, and he could recall his ECG from 1992 and bring it up, right? So you think about history taking where, like how the hell is a patient gonna remember what happened, what surgeries?

This little agent can do that now, that’s a new version of interoperability on the patient side.

Katie Bryski: I wanted to ask about interoperability, but now I’m curious about how that changes a conversation about digital health literacy or maybe AI for health literacy. Because if I think about like the eHEALs scale, right?

It was all about, yes, I know how to find information on the internet about health, and I was already like, that feels less representative of what a patient actually needs to know in our current world. And what you’re describing is just, it’s another level past that.

Dr. Zayna Khayat: So, I mean the, the lingo of the last 10 years was digital literacy.

I used to talk about from John Nosta, you know, in clinical care you have your IQ, you have to be really smart; your EQ, bedside-ish manner; and then your TQ, your technology quotient. More and more the IQ part, you can get a lot of help and boost from a machine. So it starts to be less important. I think that amplifies EQ, but your ability to adapt the next technology, which we don’t know what’s gonna pop, is actually gonna be your arbitrator for success in anything you do anywhere. So that’s a very different mindset, and I don’t think you answer that by saying, we need to put everybody through a course the way we used to treat digital health and credentialing and blah, blah, blah.

And that’s the same with patients. Like, you know, I worked in senior care. All we talked about digital literacy of older adults, you know, so they don’t get scammed or so they can, you know, do a virtual call with their kid or whatever. They’re not gonna wait for the system to build their AI literacy. There is a groundswell of organization, peer-to-peer crowd.

There’s a webinar I think coming up in April of um, a family caregiver who’s a physician, but he’s taking care of his parents. He’s doing a course for family caregivers on how to use AI, so literacy for family care partners. That didn’t come from the system, right? That’s kind of coming from this ecosystem because patients just want good care and, and any way they can help others get it, they’re gonna get it.

Shelagh Maloney: But so, so now we’re talking about like robotic and agentic and the whole system is gonna change on its head. But then you go to day to day, like I go to my clinician’s office and she’s still on paper. Will, you shared a paper the other day about apps and AI being applied to solutions, but it’s only gonna make a difference when you completely redesign the system with AI.

Is that even feasible in healthcare? Because it’s just such a risk averse industry and people are running to stand still right now. They don’t have time to redesign the system, so what does it, is it gonna happen from without?

Will Falk: Yeah, it’s a great question, Shelagh and, and I think it’s the right one. Let’s talk about what’s happened because we start talking about the hard stuff first.

What’s happened is, is that AI, generative AI, has entered first as a complement and not as a substitute, and so what we see is that more in the range of empowerment of clinicians and patients than in the substitution for them. I think that’s gonna be the theme for the rest of the decade. Complements are first. We’ll see substitution happening, and when I say substitution, I mean really replacing a function.

But if you look back at earlier ethics, like people have been predicting that radiologists would go away for 20 years. That isn’t what happened. I think we’re seeing the same thing. I mean, the numbers are still early, but the clinical copilots, I could believe a 25% productivity lift over the next few years on that.

And when you talk to providers, they’re really enjoying that. So I think we’re gonna see complements first and substitute seconds. Now, what does that mean if you are running an app? Well, it means for sure that you should have a generative AI front end on the app or else someone else will. You know? I think that’s gonna affect a lot of people’s business plans.

A lot of your members, I’m sure, are scrambling to put generative AI front ends on what they do. And that’ll mean a lot of increased productivity and a lot better user experience for some of the users.

Dr. Zayna Khayat: So just to pick up what Will said, it’s at the complementary adoption, which again, is where the bulk of the volume is and some impact already today.

You don’t really need to muck with all the things you just said, Shelagh, too much. If you can kind of keep your governance working, your accountability structures, payment models, and you’re kind of just turbo boosting people, whether they’re patients, a finance clerk or a clinician.

So the substitute of is when the remodeling, but the ways to do substitution anyway are not yet developed. They’re kind of in the lab mostly. And then where there might be a use case for substitution, and this is where Dr. Avi Goldfarb, our fellow faculty at Rotman, his book is all about, is to get a, like that 25% gain that Will just said, we’re starting to see of productivity, or better, faster, smarter or cheaper.

To get that from a substitutive would require remodeling what he would say the whole factory floor. Now your net-net cost benefit is not adding to 25%. Right. So that’s where we’re at with kind of these more point solution things. Now, one other. Interesting tidbit though is, remember the word search engine optimization?

So we all designed websites to optimize for how a human is gonna click, click, click, click. Now it’s called AEO: Agentic Engine Optimization. So there’s this other new world where if you want whatever you’ve built to get value or get to whoever it’s meant, not just for a website like those old, you know, legacy assets.

You have to think about your first crawler of your information is likely not a human clicking, right? It’s an agent. You have to design those for an AI to read it, right? Like so just all these different orientations and that does not need system remodeling, but it’s a very different way to operate in this AI world.

Will Falk: And actually Shelagh. I wanna just give a shout out to Digital Health Canada on this. Because you guys published a very useful list. It’s your AI in Action list. What’s it called, Shelagh?

Shelagh Maloney: Yeah, it’s an environmental scan of clinical AI in clinical settings in Canada. And we started there were 150 or so projects that we had found, and I think we’re up almost close to 200 now.

People are just adding to the database

Katie Bryski: And you can listen to a whole podcast we did about it.

Will Falk: Oh, cool. Well, well, on February 8th, there were 176. I know that because I went and I grabbed your comma delimited file version, and I dropped the comma delimited file version into chat GPT, and I divided them up generative versus non generative and complimentary versus substitute.

And so of the 176 apps on February 8th, 29 were generative and three were substituted, and there was only one that was both generative and substituted. There were a whole bunch of very interesting, very important, older generation, predictive, and deterministic things. This is Zayna’s opening point. And then there were in the generative and complimentary bucket where there were 28, there was ambient and semi ambient documentation, clinical summarization, referral letters, discharge summaries, all of these things that are helping physicians and their patients that are really part of what I see increasingly as a, a clinical copilot layer that’s coming on.

I think we’re already seeing with Tally and Heidi and Dragon, operational co-pilots moving in and they’re gonna land and expand and add functionality over the next little while. Anyway, kudos to you guys for putting that up. It’s an incredibly useful tool and also kudos for making it machine readable so that I could bring my own front end and do that analysis quickly.

I’ll do it again and send it to you in a month or so.

Shelagh Maloney: We’ll always take the kudos. Thanks, Will. Actually that it was a really interesting and fun thing to do. It’s something a little bit different than Digital Health Canada does before, so no one, I don’t know, expected that we would put that front end on it and do that detailed analysis, but that sounds like a webinar coming up.

Will Falk: Well, and I’ll make the plug, right, anytime you put up a data source, make sure that I can bring my own UX to it. You know, this is for anyone listening who’s putting data sources up. Because if you’re a public health unit and you’re putting up flu data, your local hospital can pull that by writing an agent that can pull it.

If you’re a diabetic association and you’re putting up guidelines, you want clinicians to be able to pull those guidelines and bring them into practice. I’ve got a cute way of referring to that. I call it RAG-ready, because it’s ready for retrieval. Augmented for generative AI and RAG ready is a concept that I think we’re gonna see a lot of in the next little while because if you make your information rag ready, I can interoperate with you using English instead of HL7 FHIR.

Katie Bryski: So it’s not only a change in technology, it’s also a change in how we work. So I’m wondering like from a leadership perspective, if there’s skills either that people should be trying to hone right now or things that we need to unlearn as leaders to thrive in this brave new world.

Dr. Zayna Khayat: So we just taught the first ever three day AI in healthcare for executives at Rotman.

Will was one of our faculty. I was the academic director, so three days we had kind of VP, C-Suite in the room from the, the whole sector, not just hospitals, let’s say. And so we learned a lot from them by the questions they’re asking Katie, you know, as elite, like, what am I in this world? They needed to get educated about AI.

But you know, a couple things that I took from that, so that’s what I’m reflecting on. So we had, uh, Dr. Tim Rutledge, who was the CEO at Unity Health, which was I think one of our first, if not only major clinical delivery organizations, that AI was like a top three strategic pillar. Okay? The banks are already there with AI as a top three, you know, but his number one was, you know, as a leader creating an AI positive culture.

As Shelagh said, like the risk aversion, our default is to find what’s wrong, both safety and harm to patients, but also am I gonna get sued? So we exclude risk, which the answer is do nothing, right? Or study it for six months, one year, have a committee to have a task force, to have a committee, to have a meeting.

And by then that AI has obsolesce like eight times. So there was no point in the first place, you know? So I think that’s one I would say as a leader. I can get into others, but maybe I’ll pass it to Will.

Will Falk: Yeah. The perfect is the enemy of the good in this. And I’ll say it another way. The AI you’re using today is the worst AI you’re ever gonna use in the rest of your life.

It’s only gonna get better, and it’s already a hundred times better than it was on November 30th, 2022. This is a core skill, okay? I’m old enough that I remember, in the late eighties, early nineties when computers first came into management consulting. Okay. Like my 80-person firm when I joined it in New York had four ATs that they were running.

I think it was ATs. Might have been 286s. It doesn’t matter. And over the next three years, we went from having four ATs to having a laptop for every single person in the company. But the group that struggled the most was the partners, right? I was a junior analyst at that point. And you know, you had to sit down with the partners because they were used to – you know, some of them, they’re still doing spreadsheets on pieces of brown paper for goodness sake.

So you have to remediate. If you’re in an executive position, you have to consciously remediate at this point. You have to find someone who can give you reverse coaching and you have to get your hands dirty. This is not a technology that you can just have someone else do and not learn yourself. You will not understand it because it is fundamentally different.

So that means rolling your sleeves up. Couple of basic things that you can do. Stop using search engines and use AI of your choice as your default for search. Get the experience that way. Pick a topic every morning. Go deep with it. It doesn’t matter what it is, you know, it can be recipes for cooking the health of your pet, whatever it is, but just start using things and become nimble at that.

Tools –

I always blank on the name of the Google podcast tool. Zayna, what’s it called?

Dr. Zayna Khayat: Notebook.

Will Falk: Yeah. Yeah, Notebook LLM is just so amazing in terms of generating your own podcasts on topics. So, you know, have fun with that, but don’t let yourself be the partner who never learned how to use a computer because it won’t end well.

Dr. Zayna Khayat: And I’d say that word adaptable is probably the common thread of all of this everywhere, right? So Will just said that the AI you’re seeing today is the worst it’s ever gonna be. So there’s that level of just constant adaptability. I reflect on how, you know, we made policy decisions. For example, you know, where we locked into a modality ’cause it was the modality of the day.

So we use words like telemedicine. Remember telecommuting? Because telephony was the tool of the day. And then fax machine, because that was the standard of the day. And so, and then virtual care was really video-based, but no, it’s not. It’s just care, decoupled from place and time. We always needed adaptable leadership just for the rate of change of the world.

And you know, all the other shocks that are coming at us that have nothing to do with technology, like tariffs and mudslides and, you know. But I’m gonna suggest an AI native operating system is where we’re heading. There are already health systems in the world that are there. So if that’s where we’re going, whereas I would say I would’ve imagined Digital Health Canada’s mission and maybe Canada Health Infoway was a digital native operating system.

It’s an AI native. So if you think about that, then adaptability is on every level of everything we are like all the time, and which is just now like on steroids compared to before.

Will Falk: Okay. Let’s get real practical here though, for the digital health community in Canada and so your members Shelagh, because what that means as a practical matter, is that top-down procurement isn’t gonna function for the next little while. What we’re seeing, I think, in the field is a lot of “land and expand.”

We’ve referenced the course that we taught a few weeks ago. In that course, we, we took the existing copilot functionality. I think we used, uh, Doximity, Tally, Heidi, and Dragon.

Each of which have about nine or 10 functions at the moment as a clinical copilot, and the group brainstormed pre, post, and during the visit functionality. We came up with four dozen functions, and I guarantee you that there are groups in your membership who have whole companies dedicated to just individual functions.

There are gonna be on the product roadmap for every single clinical copilot that’s emerging. Uh, I think this idea that we buy a thing, one piece at a time is largely gone. In part because prototyping is now so easy, you know, and I, I think gives way helped us with the HALO announcement because while I’m not sure HALO’s going to be perfect for production systems, it’s certainly a way easier way to prototype.

And so you’re gonna see people doing very fast creative prototyping. With my skunkworks team, um, we’ve already prototyped, I don’t know, seven or eight apps. You can see them on Stew McKendry’s, Coaching Machine. But it’s pretty easy to do this. And so things like lab results reporting… dare I say, e-prescription… or e-referral, all of these things become part of a layered logic, I think, uh, rather than individually procured items.

Dr. Zayna Khayat: And I’d say the benefit in Canada, I’d say of, uh, that a procurement was done for AI scribes. So these documentation systems for docs. That I think 10,000 got paid for because a lot of docs would always complain, who’s gonna pay for all my point solutions?

You know, it ended up being in that example kind of good because of what Will said that it’s like the Trojan horse or we, we’ve been calling it the the gateway drug because a scribe isn’t a scribe. It’s now doing, like he said, 8, 9, 10, 12 features. It just entered with this great utility. And then there’s no way those other 12 features are all going through their own procurement.

That’s not how it happens, and that’s why, again, what an AI native layer starts to look like.

Will Falk: Yeah. I just wanna say, I just wanna say, ’cause I, I wanna say this to doctors every time, every time I get onto any public forum, don’t let anyone pay for your clinical copilot. Buy it yourself, keep the ownership.

The hundred bucks a month is nothing compared to what having control of that layer is gonna be. There. That was my revolutionary statement for the day.

Katie Bryski: And just conscious of both of your time. We have also been closing our podcast episodes this season with a consistent question, which is, if you had to choose one word to describe what digital health means to you, what would that word be?

Dr. Zayna Khayat: I’ll go first. Democratization.

Katie Bryski: Ooh, I like it. And Will?

Will Falk: Legacy.

Katie Bryski: Provocative. I like that too.

Shelagh Maloney: So can you explain that?

Will Falk: You guys have a really interesting challenge on your hands here. Exciting times for Digital Health Canada. And you know, I’m old enough to have seen you rename yourself a couple of times, so I look forward to seeing what you guys can do with this as you bring all of these groups forward into this brave new world,

Katie Bryski: Shelagh, that sounds like a challenge for you and for us to take forward into the future. But I feel well-equipped with the conversation that we’ve had today. So I wanna thank you again for your time, for your insights, and for painting a picture of what that brave new world may be.

Dr. Zayna Khayat: That was fun. Thank you.

Shelagh Maloney: What an exciting conversation. You know, you and I talked before the podcast. There’s so much information and we’re so, I think fortunate in Canada and health care in Canada to have people like them. that are so smart, but also so willing to share what they know. And, you know, they’re producing papers and doing courses and it’s fascinating.

Every timeI talk to them, I learn something new.

Katie Bryski: It really is that Digital Health Canada trifecta right? Connecting, empowering, inspiring. Seeing that information not just as interesting in itself, but really using it to build our future. It’s a lot of information, but it’s also what I found was interesting was different connections between information, right?

It’s also like these paradigm shifts of what can health care look like in the future, like how as leaders, do we have to shift our mindset about what we’re doing?

Shelagh Maloney: It’s so complementary to some of the things like the, some of the work that we’ve done on this talent map and some of the things that we’re, we’re hearing, and what I liked about the conversation we just had was not only are they talking about all these amazing things that AI is going to do and can do and the speed of adoption, but really good practical examples that are happening today.

That we were seeing AI actually in use where it’s making a difference. You know, that 25% lived in productivity that that they quoted. And the other thing that was really of interest to me was around this whole idea of that AI positive culture and. Almost like don’t be afraid of it. And it’s, and it’s coming and it’s happening, but it’s not something that’s gonna happen to you.

And I thought, you know, Will’s comments about leaders need to be at the forefront. They need to be comfortable, they need to play. Those practicals, you know, go into chat GPT and ask for recipes that will get you comfortable. And I think that’s part of the battle, right, is that if I’m a leader and I, you come to me with this great idea about AI and a tool or a solution, I don’t understand what you’re saying and I’m not comfortable.

So I’m not as likely to, to say yes to it.

Katie Bryski: I think. Having that familiarity, and I’ll still use the word literacy to understand where it is fallible, right? Like with the recipe thing, my kind of joke for myself was, “Yeah, as long as it doesn’t recommend putting glue on my pizza.” But I think it is important for leaders to still be able to look at, you know, the tools and the outputs and, and still have that judgment call around, is this still accurate?

Does this meet our needs? I also wonder, we didn’t have a chance to get into this, and maybe that’s a good thing. We’ve all had a lot of conversations about interoperability and I wonder too, if AI, it’s like, okay, well it turns out the solution was something completely different than what we thought.

Right? We’ve talked about before the analogy of you can’t invent the light bulb by improving on the candle. I wonder, I wonder if AI is that spark of electricity?

Shelagh Maloney: Those are the questions. Those are the million dollar questions.

Katie Bryski: Time stamp this. We’ll see where we are in 2027. But I know where I’ll be in June 20, 26.

I’ll be at the e-Health Conference and Trade Show in Halifax.

Shelagh Maloney: I will see you there, girlfriend.

Katie Bryski: If you would also like to join that conversation, you should still register and book your hotel.

Shelagh Maloney: Absolutely. The first of the three hotels have already been sold out, so please, we would love to see you in Halifax.

It’s, yeah, lots of good programming, lots of people. We will sell out and it will be an amazing time.

Katie Bryski: But you don’t have to wait that long to hear our next podcast because we will see you right back here next month on Digital Health in Canada, the Digital Health Canada podcast. Thank you for listening to today’s episode. Digital Health Canada Members can continue the conversation online in the Community hub.

Visit digital health canada.com to learn more. Be sure to subscribe to the podcast to get new episodes as soon as they’re available and tell a friend if you like the show. We’ll see you next month. Stay connected, get inspired, and be empowered.