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Tammy Sergie on How AI Helps Healthcare Teams Protect Time, Care, and Trust
Episode 811st July 2026 • Future Proof HR • Thomas Kunjappu
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In this episode of the Future Proof HR podcast, Jim sits down with Tammy Sergie, CHRO and Privacy Officer at Edgewood Health Network in Canada, to talk about what AI adoption looks like inside a healthcare environment facing funding pressure, staffing shortages, and constant change. Tammy explains why AI is not just a cost-control tool for healthcare teams. It can help people spend less time on repetitive work and more time on the human moments that matter most.

Tammy shares how mental health and addiction care creates a unique talent challenge. The work is deeply human, often emotionally demanding, and difficult to scale when clinicians and nurses are in short supply. Against that backdrop, she explains how her organization is testing AI in call center triage, clinical note-taking, patient data analysis, and an HR support bot named Eva.

A major theme of the conversation is trust. Tammy talks about why AI initiatives need human oversight, clear guardrails, visible feedback loops, and communication that connects every change back to the employee experience and the patient experience. She also explains why frontline champions matter more than top-down announcements when organizations want AI to actually stick.

The episode is a practical look at how HR can lead AI adoption without losing sight of the people doing the work. For Tammy, productivity only matters when it gives time and focus back to employees and improves the care experience for patients.

Topics Discussed:

  • Why Canadian healthcare funding creates pressure for HR and workforce planning
  • How mental health and addiction care face different staffing realities than public healthcare
  • Why do private healthcare organizations compete differently for clinicians and nurses?
  • How employee experience becomes a talent strategy when compensation has limits
  • Where AI is being used in call center triage, clinical note-taking, and HR support
  • Why an HR bot can support employees in a 24/7 healthcare environment
  • How change fatigue affects AI adoption on the front line
  • Why executive alignment is not enough without frontline champions
  • How feedback loops, pulse checks, and town halls make AI rollouts more visible
  • Why guardrails and human oversight need to evolve as AI usage grows
  • How to prioritize AI work around patient experience, employee experience, and productivity

If you are an HR leader trying to introduce AI in a high-touch, high-trust environment, this episode offers a grounded look at how to balance innovation, care, employee experience, and responsible adoption.

Additional Resources:

Transcripts

Jim:

when you're thinking about an AI initiative and implementing AI within

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:

an organization, you wouldn't think

about doing that in an organization

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:

where you're dealing with massive levels

of funding issues and in an employee

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landscape and an employee population

that's retiring and exiting the field.

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No one would fault you for thinking

that you have bigger fish to fry.

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And what's even more challenging

about this environment is that you're

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dealing with a healthcare environment.

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So when you think about a sector that's

heavily people-focused and requires

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a lot of frontline labor to execute,

where does AI fit into that equation?

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That's the question that we're

gonna tackle today, and we're gonna

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tackle it in a way where you're not

looking at solving these problems

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through a cost control issue.

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You're looking at solving these problems

through the lens of leveraging what

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your people are best at and putting

them in a position to be successful

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and that's the conversation that we're

gonna get into today with Tammy Sergi.

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So joining us today is Tammy Sergi.

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She's currently the CHRO at the

Edgewood Health Network in Canada.

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Over the course of her career, Tammy's

worked in several HR leadership roles

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with known industry leaders like Telus,

Grand & Toy, OfficeMax, and OpenText

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In addition to her current leadership

role at the Edgewood Health Network, Tammy

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also holds board positions at several

not-for-profit community organizations and

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is also serving as the president of one

of Ontario's oldest figure skating clubs.

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Tammy brings a people first and

people focused approach to her

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leadership, and that will shine

through in this conversation

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that we're having with her today.

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Tammy, welcome to the show

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Tammy: Thanks for having me

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Jim: Yeah, I'm looking forward to

this conversation on a couple of

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different fronts because one from a

geography perspective, you're based

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out in Canada, so that's gonna be an

interesting perspective when we're talking

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about the intersection of HR and AI.

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We haven't had many Canadians

on the show, so that's gonna

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be an interesting perspective.

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And the other part that's gonna be

interesting about this conversation is

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that not only do we have that geographical

perspective that you're gonna share

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with us, but you're also in healthcare,

where we haven't had a lot of folks in

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the healthcare space on the show either.

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So it's gonna be a doubly

interesting conversation for me

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as well as our listeners as well.

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I think a great place for us to get

started is for you to give us a little

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bit of a landscape of the Canadian

healthcare system and kinda how you

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operate as an HR leader within that system

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Tammy: Yeah.

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Canadian healthcare

system is quite complex.

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There is a lot going on,

within the system itself.

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What I would say generally is it's

heavily underfunded at the moment.

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And it's experiencing very heavy changes

on the people side, and so being an HR

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leader in healthcare in Canada is quite

exciting and there's never a dull moment.

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We have high level of baby

boomers retiring and exiting the

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career that began in waves during

COVID and never really stopped.

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We have very serious shortage of

clinicians and nurses in the country.

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I work in mental health and addiction,

and, despite immigration filling in the

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gaps and there are some really exciting

activity happening in bringing talent

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externally into the country, in mental

health and addiction, it's a little more

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difficult to assimilate talent quickly.

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And technology and AI is almost not an

option for us at the moment resolving

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the challenges that we have in terms

of the availability of the talent and

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optimizing our humans on the ground

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Jim: There's a couple things

that I wanna dig into.

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One in particular is your comment about

Canadian healthcare being underfunded.

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What I'd be curious about is getting

a little bit more detail about how

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that underfunded or how that financial

situation shows up, because for those

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who aren't aware Canada's healthcare

system is funded at the provincial

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level more so than the federal level.

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So understanding how that shows

up on a province by province

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basis would be interesting.

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And then adding a little bit more

detail around what you've seen from

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a people perspective and how those

changes are impacting the staffing

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levels would be interesting as well.

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So can you tell us a

little bit more about that?

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Tammy: Yeah, for sure.

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Canadian Healthcare Act

went into effect in:

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And I think the medical atmosphere

the country was very different

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in 1985 than it is today.

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there is a lot of things that have been

excluded from the act and mental health

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and addiction is one of those examples.

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PharmaCare was excluded.

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It is not funded by provincial

or federal government.

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dental care was excluded as well.

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And so when we think about healthcare

in general, there is a lot of

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things that the tax system does

not cover for an average Canadian.

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speaking of the funding itself

and where it generates and flows

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through the system, is roughly 41

million Canadians in the country.

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Only 45% of working age

Canadians are actually working.

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So 45% of Canadians pay taxes and

fund the system the 55% that are not

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contributing towards that system.

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25% of that population is employed

by federal and public system, right?

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So essentially the government is

the major employer in the country.

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And so when you look at the funding

and where it comes from, and the

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number of individuals contributing

towards the system, you could see

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that there's just simply not enough

Canadians paying taxes to cover the cost.

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And even if there were, there's

a lot of things in the healthcare

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system that are simply not covered.

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Mental health, for example,

is not a right to Canadians.

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it's a privilege.

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And so there's no funding

available for that.

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And i- if it is it's very minimal.

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And so an average Canadian struggling

with mental health where they're

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requiring clinical support and treatment

are left to fend for themselves

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in terms of securing that funding

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Jim: So when you look at a couple of

these factors, so Canadian healthcare

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overall is underfunded based on

the information that you shared.

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Mental health and addiction treatment

is not funded at all, and you tie that

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into the employment landscape for,

you and others like you in this space.

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How does that show up from an employee

employment perspective and staffing

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perspective within organizations

that are in the addiction and

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treatment and mental health space?

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Tammy: I, it's a very interesting space

where of people that go into mental health

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as medical and clinical practitioners, go

in there for a very deep personal reason.

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And so there is a lot of passion in

this particular aspect of healthcare.

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So I think we don't have an

issue of finding interest in this

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particular segment in healthcare.

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but we are competing with the public

healthcare system and ER emergency rooms

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across the country that are very short

on nursing and are paying extra premiums,

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to make sure that they don't have to shut

down the emergency departments in the

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hospitals across the country because they

don't have nurses to service the public.

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Have experienced quite a shortage a few

years ago, and a number of provincial

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governments stepped out of the way

and put together retention bonuses

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for nurses and other more appealing

strategies around how to retain nurses

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within the public healthcare system.

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And that makes it more difficult

on private healthcare like mental

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health in, in retaining the same

talent and attracting them out

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of that public healthcare system.

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Jim: So it's interesting that you're

describing a scenario where the

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public sector or public healthcare

entities can outbid for talent

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compared to the private space.

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So when you look at that inability to

compete on, a monetary compensation

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perspective, how has that shaped your

talent strategy within your space?

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Tammy: There's a lot of things

that we can do and we have been

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doing over the last few years.

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And essentially the short answer to

that is, is building an employment

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place of choice and culture that

is appealing enough beyond money.

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People don't come to work just because of

money, although we all have bills to pay.

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really looking at talent

infrastructure as the core operating

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infrastructure and building around it.

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There's a lot of different strategies

employers may put into play to curb

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the turnover to really focus on the

employee experience and invest into the

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programs like recognition paid time off

programs offering it's a primarily female

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profession and women go out and have

children and a program like a top-up, a

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maternity top-up is a very popular one

and may be very appealing and may not

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exist in the public healthcare system,

that the individual is considering.

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And so we're really working around

the employee experience and creating

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an environment where our nurses and

our clinicians are choosing to stay

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with us or come and work for us.

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It's an environment where there's

a lot more innovation than within

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the public healthcare system.

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The hierarchy is typically s- flatter.

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There is a lot more growth

available to professionals.

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And being a national player also

very much helps because we can offer

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individuals an opportunity to travel

across the country and relocate as

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their life changes and their families

grow and it, may or may not be of an

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interest to them as professionals.

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Jim: So there's a few things

that you mentioned that I

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thought were pretty interesting.

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You have to appeal to the employee value

proposition and outside of compensation,

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create an environment that offers a

lot of value to somebody working in.

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You have to get creative as far

as what your benefits or your

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total compensation looks like

beyond just monetary compensation.

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But there's something that you mentioned

that I thought was interesting, which

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was your point about innovation.

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There's more innovation within

your space than you would

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typically find in the public space.

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Tell me a little bit more about what

that innovation looks like and how that

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shows up in a meaningful way to somebody

that's working within the organization

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Tammy: AI and experimenting with

technology and moving through That

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part of it a lot quicker than I would

imagine somebody would experience in a

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public healthcare system where majority

of the population is unionized and

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there is a lot more rules and a lot

of things within the structure and

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the workflow are more black and white.

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We are able to experiment with AI

in our call centers so that when an

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individual calls in and initiates the

first interactions with the company

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they may have an opportunity of

going through the triage process with

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an AI bot to triage the needs and

point them in the right direction.

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That saves a lot of time and costs.

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Costs that we can then reinvest

back into the patient experience

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and the employee experience, unlike

a more structured environment.

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We're experimenting with

clinical AI note-taking.

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Again, a lot of our clinicians have

regulatory requirements in terms of

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the documentation they produce after

they have a session with a client.

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and so the amount of time we save

with initiatives like this, we're

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able to redeploy our clinicians to

spend more time, doing wonderful

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things with the patients instead of

sitting at their desks taking notes.

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We're doing an excellent job in

measurement-based care and really

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collecting a lot of data on our

patients and treatment and what

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helps them and their entire journey

throughout the treatment and beyond.

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we're using AI to analyze that.

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And in the future we'll be able

to support our clinicians with

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recommendations in terms of treatment,

post-treatment pre-treatment,

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et cetera for their patients.

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we are considering and that's an

interesting one democratizing access

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to mental health through AI therapy.

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Now it's not for everybody.

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Not every generation is going

to accept therapy by a bot.

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but it is something that younger

generation is a lot more open to.

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They're open to having a conversation

with artificial intelligence the

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form of a human on a screen versus a

human that they feel will judge them.

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And so it's an interesting

space for us to explore.

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while we may have a shortage of

professionals within the profession we may

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invest into this area a little bit more

extensively than you would experience in

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a public healthcare hospital type setting.

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There's a lot more bureaucratic

process around innovation.

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And that's not to suggest that

innovation doesn't happen in

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public healthcare not at all.

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There's a lot of wonderful stuff

that happens there as well.

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It just moves a lot

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slower and there's a much larger cost

associated with innovation than I find in

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the pl smaller private healthcare players

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Jim: So when we're talking about the

innovation that's happening within your

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organization, you mentioned three things.

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You mentioned implementing AI in the

call center space implementing AI from

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a clinical note-taking perspective,

and then starting to innovate when

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it comes to providing mental health

services via AI, the, through

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the use of a bot or an AI avatar.

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When you look at those three things

that you mentioned, which one of

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those three is the most mature

initiative within your organization?

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And what were the big things that

you learned once you deployed

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that out into your marketplace?

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Tammy: I would say the AI bot in call

center is quite mature and there's many

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stages and elements of that initiative

that are still to be unlocked but

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progressing very nicely And then clinical

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AI note-taking is another one.

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what I didn't mention is some of the

innovation that obviously within the

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HR organization HR I feel very strongly

has to be m- on the, at the forefront

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of technology development in any

business because it's an opportunity

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for HR professionals to optimize

the humans in the most human way.

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And so we, on the HR side as well,

are just recently launched an

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A- AI bot, and her name is Eva.

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And she's in place to support

our employees in terms of

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their employee experience.

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Tier one support to the employees 24/7.

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It is a 24/7 organization.

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Our employees work at night.

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My humans don't, and so Eva is there

to support them with basic questions

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around how much time do I have to

take next month, and where do I

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find my paycheck, and what does this

policy say for me in this scenario?

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So she can help folks

navigate through that.

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To your second question, are we finding?

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What we're finding is not everybody's

ready at the same level to change,

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and that's really funny because change

has been around us, and especially

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post-COVID, quite extensively.

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Change is one thing that's never

left, and it's compounded, and

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it's always around us, and it's

one thing that's never going away.

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And yet there's a little bit of

that resilience that's lacking

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navigating through that change.

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And so maybe it's the change exhaustion

among the employees because right now I

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find, you open up your phone, and you look

at the articles and things are changing

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by the minute it seems like, right?

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There's a lot going on in the world

and a lot going on with AI development

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and just it- the speed is picking up.

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And so we noticed is our people are very

excited big picture-wise about the change,

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and when it comes to actually using it

and living it, we're seeing a little bit

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more hesitation from our clinicians, from

our nurses from our employees in general

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Jim: So when you-- what

you're hinting at two things.

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You're hinting at, the pace of adoption

i-in terms of these AI initiatives and

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the willingness to for people to dive in.

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But there's another component that

might exist there that we haven't

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talked about, which is fear at the

employee level that by adopting

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these things at a greater level, it's

gonna mean elimination of their jobs.

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There's a couple things in your

answer that stood out to me and,

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the big thing that stands out to me

is you referenced change fatigue.

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I look at it as an adoption issue

and I wanna zoom out and look at

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the implementation of these various

AI initiatives that you have and

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understand a little bit more about how

those initiatives were communicated

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to the employee population and

what you did to maximize adoption

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in the face of some of this change

fatigue that you might be seeing

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Tammy: It's a great question,

and I think there's a number

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of ways of answering that.

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One is y- you need an executive team

that's obsessed with change a- and is

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obsessed with the initiative itself.

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They have to be very passionate

and very much i- in line with

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with what is being rolled out.

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The other, however, is change

actually has a natural timeline.

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It, it navigates through several layers,

and the executive tim- team typically

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gets the first one to get in- to, to get

introduced to high-level initiatives,

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and they get more comfortable with it and

the change travels through the layers.

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And by the time it gets to the frontline

employees, the executive team has

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already experienced the change for

much, much longer, and the comfort

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level is much, much higher, right?

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We need level of comfort, repetitiveness,

for the new news to become the old news.

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That process needs to

happen at the front line.

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And so the time I- in my

opinion, will never go away.

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It is just a natural way

of adopting something.

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But what works very

nicely is repetitiveness.

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It's connecting the dots at all

layers really thinking about different

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perspectives of the change and

really looking at the perspective

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of the change and what's in it for

me from the frontline perspective.

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And a lot of change and a lot of projects

and initiatives in, in, in businesses

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don't actually follow that formula.

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They start with the big picture,

and only towards the end of that

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change initiative convert into what's

in it for me, for the individual.

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And so what we what we find works better

there's different ways of approaching

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change, of course having the right people

from the very beginning of the journey

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when it comes to this change, and the

right people are the people from the front

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line and those very clinicians and nurses

and medical staff that can actually when

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they buy into the change and they absorb

the change for a lot longer, they're able

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to then represent the process of being

the champion of a change at the front line

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and speak the language of the front line

staff that will essentially go through

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that process of adopting that change

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Thomas Kunjappu: This has been

a fantastic conversation so far.

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If you haven't already done so,

make sure to join our community.

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We are building a network of the

most forward-thinking, HR and

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people, operational professionals

who are defining the future.

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I will personally be sharing

news and ideas around how we

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can all thrive in the age of AI.

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You can find it at go cleary.com/cleary

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community.

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Now back to the show.

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Jim: So I-- what I really like

about what you mentioned is how

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you framed the change initiative

in terms of a internal philosophy.

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You started with making sure that

the communication plan had a strong

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pillar in communicating what's in

it for the frontline employee, and

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then working almost from a bottom-up

perspective to build your evangelists

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and your champions from the front lines

versus having a top-down approach.

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So I like that part of it, but there's

something that you mentioned that

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could be potentially problematic, and

that was when you mentioned that the

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exec- you have to have an executive

team that's obsessed with change.

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When I hear something like that, as

a frontline employee, I've been in

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organizations where the executives

are rolling out an initiative every

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other week, and you have a bunch

of half-baked stuff that's sitting

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around to the point where, you

talked about change fatigue earlier.

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If you do it too quickly, too often, have

everything half-baked and nothing actually

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comes to fruition, you wear out your team.

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So that points to an execution issue

and a discipline and focus issue that's

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lacking in those sorts of environments.

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So what I'd like for you to do is share

with us how you controlled to make sure

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that execution was being delivered and

discipline was there to make sure that

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these things are being seen towards

the end before you start a new thing.

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How did that work out

within your environment?

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Tammy: And I'm not gonna say that

we don't have an execution issue as

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an organization, and we don't have a

halo effect of, change after change

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and not necessarily implementing

it in the most efficient way.

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I think every organization

has a little bit of that.

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And to defend it in a way, I

would say, what other choice

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do organizations really have?

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they do need to adopt, they do need

to innovate, and they do need to try a

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variety of different things to be able

to survive in an everlasting, changing

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environment and i- fluctuations that

we have in trade trades and political

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atmosphere and the economical ins-

instability that happens, right?

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And here I'm describing a little bit

of a situation here in, in locally in,

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in Canada as you probably have heard.

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so on the one hand, the

executives and the businesses,

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:

they really don't have a choice.

343

:

They need to continue

to try different things.

344

:

On the other hand, you've got employees

that m- may not necessarily have this

345

:

change resonate very clearly with them

right away, and they may experience

346

:

change after change and like I said,

change fatigue as a result of it.

347

:

How do you balance all of that?

348

:

I think you use every avenue of

communication available to you.

349

:

Repetition is key.

350

:

connecting dots on behalf of

your employees is very important.

351

:

Finding ways to collect

feedback from employees and

352

:

have the loop of that feedback.

353

:

engagement pulse checks and surveys are

very useful, I find, in, in measuring

354

:

the overall across the organization.

355

:

And it's not necessarily the specific

questions that are being asked but to

356

:

me, what I look at is the deviation

from one quarter to another as those

357

:

initiatives hit the floor, right?

358

:

That to me is a very good way of measuring

the temperature at the ground level.

359

:

And then engaging in the dialogue with

the employees, having an open box as

360

:

a part of that survey so people can

the specific feedback that they have

361

:

that maybe the questions didn't cover.

362

:

And then going out and using tools

like town hall on-site visits getting

363

:

folks together in groups, using your

frontline managers to gather feedback.

364

:

If an organization produces

newsletters, that's another

365

:

way of repeating information.

366

:

And again, put a QR code

there and encourage people

367

:

to give feedback differently.

368

:

And the most important thing is to stay

on top of it and w-within my specific

369

:

organization within HR, we've done

a much better job at executing our

370

:

initiatives, and I think it's because

we don't treat them like initiatives.

371

:

They are employee experience, and the

way we measure success of our change or

372

:

initiative is the longevity and how well

it sticks, and becomes a part of that

373

:

culture engagement experience second

nature to our managers something that our

374

:

employees will continue to experience on

the ground when we're not in the room.

375

:

And annual revamp communications on all of

your initiatives, having a list of those

376

:

change, changes that you've rolled out the

previous year and coming back to those and

377

:

checking on validity and alive they are

and utilized oh, is a way of checking the

378

:

adoption right and making

sure that something that you

379

:

rolled out actually stuck

380

:

Jim: So I think one of the, one of

the underrated things that you're

381

:

doing is creating a robust feedback

loop within your organization.

382

:

So when you're talking about, making

sure that you're driving execution

383

:

and discipline around focus around

these initiatives so that these

384

:

things are seen through creating a

feedback loop to, to measure it from

385

:

the front lines I think is important.

386

:

And I think it's something that

organizations should do more of.

387

:

And I'm sure you know what's coming

next when I'm about to ask it.

388

:

Oftentimes what happens is that

organizations will set up these elaborate

389

:

feedback loops and have all these

channels to gather the information,

390

:

and they don't do anything with it.

391

:

They just sit on it.

392

:

And that's usually one of the big

failures within employee experience

393

:

practices, is that you have a

robust feedback engine there, but

394

:

moving that feedback into action so

that it's visible and communicated

395

:

and meaningful is often lacking.

396

:

So how did you set up that bias

for action that's informed by

397

:

the feedback in your environment?

398

:

What did you do, what did you put

into place to help make sure that the

399

:

actions that you were taking in response

to that feedback was visible and

400

:

meaningful to the employee population?

401

:

Tammy: Transparency I think is key.

402

:

And making sure that you ask yourselves

as a, as an HR organization honest

403

:

question around an initiative that

you may be working on, and how that

404

:

contributes towards the employee

experience, and a response to the

405

:

feedback that we have received previously.

406

:

And so we go through a pretty robust

process of developing a pretty

407

:

comprehensive people plan, which is

essentially a fancy way of saying a

408

:

human capital strategy for the year.

409

:

on that piece of paper we actually

outline our commitment to the

410

:

organization for that year.

411

:

And not to say that things will not

come up that we're not gonna address.

412

:

Certainly you can't predict the entire

12-month cycle in any business today.

413

:

But we do and we do a pretty

decent job in our commitment.

414

:

And I find that once you put

something in writing, and you go

415

:

out to the organization, and you

communicate your commitment, they're

416

:

gonna hold you accountable to it.

417

:

And in a very sort of religious

way we make sure we revisit our

418

:

people plan and how we're executing

against it on a quarterly basis.

419

:

And we're report back to the organization

both on, here is what we heard from

420

:

you through the listening strategy

and an engagement survey results.

421

:

And then here's what we've done this

quarter to execute and implement the

422

:

commitments that we've made at the

beginning of the year in the people plan.

423

:

And again, opening up the lines of

communication to continue to i- g-

424

:

welcome the feedback and just being

very transparent and culturally.

425

:

One thing that my employees hear

during the town hall from the executive

426

:

team, a- and myself being a member of

that team is feedback is a blessing.

427

:

And we wanna continue getting the

feedback because we're here to

428

:

work on your employee experience.

429

:

And the job itself is very tough.

430

:

In healthcare, I can't- I can't even

begin to explain how difficult the nature

431

:

of the job is especially when it comes

to individuals suffering for many years

432

:

with mental health and maybe addiction,

and the individuals taking the burden

433

:

to support them through that journey.

434

:

And so can't change the nature of their

job but myself and my organization a

435

:

wonderful group of HR professionals, are

working really hard sure that we envelope

436

:

with as much positive employee experience.

437

:

Their experience at work is very deeply

important to myself and the HR folks

438

:

that are a part of the team

439

:

the commitment is public it's

documented the feedback is welcome.

440

:

And the very final thing I find very

useful is when we communicate with

441

:

our employees and report out on, on i-

initiatives or changes or things that

442

:

are happening within the organization,

begin our communications by saying,

443

:

"You asked, and we responded," right?

444

:

on the feedback we received through

the engagement survey or based on the

445

:

feedback that we received from our

employees, we have done X, Y, and Z.

446

:

So I think knowing that many people can

connect the dots on their own, yes, but

447

:

I think helping very busy professionals

see those dots connected is very important

448

:

for a leadership communication

449

:

HR

450

:

organization putting

451

:

it all together.

452

:

when we go out and do something

453

:

we say we've done it

because you've asked for it

454

:

Jim: I like that.

455

:

I like the emphasis on visibility

of responses that you've put in.

456

:

But that had me thinking about some of

the other things that you've mentioned.

457

:

So right now, when I take inventory of

what we've talked about so far, you have

458

:

three major AI components or initiatives

that are active within your organization.

459

:

You have the call center bot, you

have the clinical AI note-taking, you

460

:

have the AI bot in HR that's supposed

to help with employee questions.

461

:

So those are three initiatives,

and you have what seems to be a

462

:

robust feedback engine that's built.

463

:

The problem that I see when you do

that, when you have big initiatives

464

:

in place and then you're soliciting

feedback from those initiatives, you're

465

:

likely to get a flood of questions

coming from the employee population.

466

:

So that creates a prioritization issue.

467

:

What do you prioritize in terms

of what you're gonna respond to,

468

:

and how does that prioritization

stack ranking work i-internally?

469

:

So tell me about how you put

guardrails around making sure that

470

:

you're taking action on the right,

quote-unquote, "right things."

471

:

How did you determine that

472

:

Tammy: Yeah

473

:

I think what's important for us as an

organization is to focus on two things.

474

:

Honestly, there's really only

two reasons why we exist.

475

:

One is the patient experience, and the

other one is the employee experience.

476

:

We're not a commodities business.

477

:

Healthcare is not a commodities business.

478

:

It's all about a human providing

a service to another human.

479

:

And so there's nothing more important

than the human in need of treatment

480

:

and a human providing that service.

481

:

And to me, that's the employee

experience and the patient experience.

482

:

All of our funding gets

reinvested into these two areas.

483

:

And all of our effort, all of our

projects, in my opinion, as a member

484

:

of the executive team should resonate

with these two areas as a business.

485

:

How do we prioritize?

486

:

I think productivity.

487

:

And productivity is important

because we're able to give time

488

:

and ability to focus on clinical

activity, servicing the patient.

489

:

So I think productivity is

something that is important and

490

:

is helpful to our employees.

491

:

But it's also an area that kind of

touches at what we discussed at the

492

:

beginning of the conversation, which is

we need to optimize our humans because

493

:

there's not enough humans in the sector.

494

:

The bi- the reality is the

workloads have been rising.

495

:

There's less and less humans to do

multitude of different jobs, and so we

496

:

need to augment that with op- optimizing

technology, that helps us speed up our

497

:

humans to help us cover more ground.

498

:

Because the reality is we're

already doing too much, right?

499

:

And so I think productivity is

critical because when we help our

500

:

humans optimize, we are improving

their employee experience, and we

501

:

are adding more value back to the

502

:

patient so I think that's what we kind

of use to gauge a lot of our decisions

503

:

Jim: There's two things that you said

that I think are really critical to

504

:

pull out, and that's when it comes to

the prioritization question, everything

505

:

revolves around the patient experience

and the employee experience and product-

506

:

and how that shapes productivity.

507

:

And the reason why that stood out to

me when we're thinking about, what

508

:

should we tackle first the productivity

question is certainly what everybody is

509

:

chasing across all sorts of industries.

510

:

But I don't think people are doing a

good job of how to communicate that

511

:

effectively because when I hear about

what you've put into place, you're

512

:

dealing with an employee landscape

where there isn't enough talent to

513

:

fill all the hours of activities

that exist within your organization.

514

:

So philosophically, what a leader

needs to think about is: Where

515

:

are my people best utilized or

optimized when it comes to employee

516

:

experience and patient experience?

517

:

That means you need to put them into

positions where they're doing higher

518

:

leverage work, more meaningful work,

versus just sitting within a task wheel.

519

:

And when I look at the three initiatives

that you already have in place, the

520

:

call center AI bot that helps triage,

the AI note-taking bot that takes

521

:

notes so that your clinicians aren't

spending hours documenting things, you

522

:

have a bot that takes care of that.

523

:

And then the HR bot that helps on the

employee experience side versus HR as a

524

:

function playing the firefighting role,

that's another triage function too.

525

:

Those three things line up

with what you're describing in

526

:

terms of how you prioritize.

527

:

First things first is patient experience,

and then employee experience, and then

528

:

when you're looking at how you roll out

an AI initiative with a productivity lens,

529

:

that's how all of that fits together.

530

:

So I like-- I don't know if all of

that was intentional when it was rolled

531

:

out, but it certainly fits together

in a way it fits together really

532

:

nicely when you're talking about how

do you prioritize what you respond to.

533

:

Have a productivity eye first, and

then make sure that you're indexing

534

:

or over-indexing for the patient

experience and employee experience.

535

:

So continuing on that thread, you have

three major AI initiatives that have

536

:

been rolled out, and you're innovating

as part of this when you roll out.

537

:

But when something like this is so new,

how did you set up guardrails to define

538

:

what's inbounds and out of bounds when

it comes to how these AI agents or these

539

:

AI initiatives are supposed to behave

within the environment, and also when it's

540

:

patient or client-facing, what are the

guardrails that were put into place to

541

:

make sure that it's playing by the rules?

542

:

Tammy: Yeah.

543

:

So I think it's super critical for any

AI-related initiative human oversight.

544

:

As the bots learn and as technology

evolves, and as the organizations figure

545

:

out how this particular initiative

actually is going to take on a life

546

:

of its own within the organization,

within the framework, 'cause every

547

:

organization is very different, has to

be a human buddy that moves along with

548

:

that AI initiative or in the form of a

bot alongside that journey so that we

549

:

can certainly and we certainly do roll

out more black and white, very red zone

550

:

guardrails at the beginning of things

that are very obvious it shouldn't touch,

551

:

or it shouldn't address, or it shouldn't

go to because it, there is regulatory

552

:

requirements or maybe whatever that limit

may be for the bot or the AI capability.

553

:

other piece is recognizing that

the guardrails will have to evolve.

554

:

As the adoption picks up, as

the utilization evolves within

555

:

the organization, the guardrails

will need to follow, right?

556

:

We can't imagine that we're gonna roll

out perfect guardrails and let it be.

557

:

Humans evolve we'll call it experience.

558

:

If you remember yourself at the beginning

of your career, there was many things that

559

:

seemed very scary and would take you a

lot longer, things that you execute today

560

:

flawlessly without even thinking twice.

561

:

And so the same thing is gonna happen

with AI and how it's gonna be adopted

562

:

and utilized and the life it's

gonna pick up of its own within the

563

:

organization and that environment.

564

:

The third piece I would

say is being very clear.

565

:

A liability clause you

go live with a product.

566

:

So for example, Eva, our HR bot

comes with a little liability

567

:

clause saying, "I'm still learning.

568

:

I make mistakes.

569

:

So if I'm giving you an answer

that doesn't make sense,

570

:

please check with a human."

571

:

And it allows you to navigate

to initiating an email.

572

:

And we're looking to, in the future,

actually have a generated ticket if

573

:

it didn't produce the result that, w-

we'll spot check the conversations.

574

:

But if it didn't produce the

outcome that the employee expected

575

:

or, we've all heard about AI

hallucinating, for example, right?

576

:

We don't know if our bots are

gonna develop something like that.

577

:

If an employee goes into it knowing

that my AI bot in this interaction may

578

:

not yield the results that I expect

or it's looking a little odd it's

579

:

very clear to the user in terms of the

warnings and the steps to take if they

580

:

do experience something like that, and

I think that piece is very important.

581

:

Now of course it can have a counter

582

:

effect of an individual not wanting to

use it as a result of that liability

583

:

clause, but, we certainly wanna make sure

that communication around that initiative

584

:

and innovation supplements that fear

585

:

Jim: What's so since you've

rolled this out, what's been the

586

:

response to the three different AI

initiatives that you've rolled out?

587

:

What's been the response from the

employee slash patient perspective?

588

:

Tammy: Mixed feedback.

589

:

And I think it, it depends on how well a

project is being executed, what phase of

590

:

the project it's in, how well it has been

supplemented with communication and also

591

:

how well we're collecting the feedback.

592

:

I'll speak to the one that

I'm closest to the AI bot.

593

:

We've got some very positive

feedback from the employees.

594

:

I think one thing they love

is it's available 24 hours.

595

:

It's available in the middle of the night.

596

:

It's there when the humans are not.

597

:

They don't need to wait for a response

because the team is overwhelmed, busy,

598

:

burnt out people are on vacation.

599

:

It is able to provide them with

basic responses to tier one type

600

:

questions any time of the day.

601

:

And so that reliability is pretty

awesome, and we're hearing some really

602

:

good feedback from our employees that,

We have nurses that work night shifts.

603

:

We have clinicians that work night shifts.

604

:

We've got obviously clinical

staff that works on the weekends

605

:

when my team is not, right?

606

:

And so that's been really positive.

607

:

But we've also gotten an email here and

there on, "It gave me this response,

608

:

doesn't necessarily seem it's right."

609

:

And so we went back and tweaked it.

610

:

A- and I think that's very important.

611

:

H- establishing the trust so that

people will give you the feedback

612

:

as opposed to saying, "Yeah, it's

great," and then never use it.

613

:

And then monitoring usage

614

:

I think technology is there, it's

great, but you could actually view the

615

:

adoption and that curve, fluctuating

real life and I think supplementing

616

:

that with appropriate communication

and monitoring it is critical

617

:

Jim: Great stuff, Tammy.

618

:

If people want to continue the

conversation with you, and I'm sure that

619

:

they will because we're just scratching

the surface of all the different things

620

:

that you've done especially if they're in

clinical and healthcare, what's the best

621

:

way for them to get in touch with you?

622

:

Tammy: LinkedIn.

623

:

Connect with me on LinkedIn and

happy to have a conversation

624

:

Jim: Great stuff.

625

:

We'll make sure that we include

your LinkedIn profile link in the

626

:

show notes and that way people

have a way to reach out to you.

627

:

Speaker 2: Thanks for

hanging out with us, Tammy.

628

:

Great conversation there's gonna be a

lot in this conversation that I think

629

:

our audience is gonna walk away with,

but when I think about what stood

630

:

out to me about what you and your

team have done, at your organization

631

:

when it comes to AI, is how it's been

focused on the most important things.

632

:

I think when you're looking at any

AI initiative, every organization

633

:

needs to tackle a first things

first mindset, which is who is it

634

:

for and who will we prioritize?

635

:

And what stands out to me about your

three AI initiatives is that everything

636

:

was centered around productivity, but

it was centered around productivity

637

:

that impacts the employee experience

and the patient experience.

638

:

And when we're thinking about implementing

AI in a healthcare and mental health

639

:

space, That's gotta be the focus of

any initiative that you push forward.

640

:

It's gotta be on the employee and

on the patient side of the equation.

641

:

When you're looking at a pure productivity

through the lens of maybe a cost control

642

:

perspective, that doesn't work well

within a space like mental health or

643

:

healthcare, and I think that's what I

really like about what you mentioned.

644

:

So for those organizations that

are looking at rolling out an AI

645

:

initiative, if you're not centering

yourself on the employee experience

646

:

first, you're probably going to run

into a lot of issues when it comes to

647

:

adoption, execution, and velocity of

implementation within your organization.

648

:

So I appreciate you sharing that with us.

649

:

I think a lot of people

will find that valuable.

650

:

For those of you who've been listening

to this conversation, if you've liked

651

:

the discussion, make sure you leave us a

five-star review on your favorite podcast

652

:

player, and then tune in next time where

we'll have another HR leader hanging

653

:

out with us and sharing with us the

initiatives that they're taking on within

654

:

their organization to future-proof HR.

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