September 3, 2025 • 14 mins
Futurist, author, and Hall of Fame speaker Crystal Washington joins this episode of the MGMA Insights Podcast. Crystal shares her expertise on generative AI and its practical applications for healthcare leaders. As an upcoming keynote speaker at the MGMA Leaders Conference in Orlando (September 28 - October 1), Crystal breaks down the AI landscape, debunks common myths, and provides actionable strategies for medical practice leaders navigating technology adoption without getting overwhelmed.
[02:35] - Becoming a futurist: Crystal explains her path from hospitality management to consulting for global brands, and how she developed her futurist mindset.
[06:25] - Grounding AI in reality: Artificial intelligence has been around since the 1950s; generative AI is simply the newest wave, not an oracle.
[07:49] - Generative AI hype vs. reality: Crystal cautions leaders to separate engineering insights from corporate hype and stock-price-driven narratives.
[10:12] - Healthcare leaders and limited time: Practical advice on dedicating even 10–15 minutes a day to keep informed without feeling overwhelmed.
[11:31] - Problem-first adoption: Why leaders should identify their top three challenges before chasing new technology solutions.
[12:56] - What to expect from her keynote: Leaders Conference attendees can look forward to fun, interactive, and pragmatic ways to use AI in daily life and in healthcare operations.
Resources:
- MGMA Leaders Conference 2025: Learn more and register
- MGMA Membership: Access tools, communities and educational opportunities - Learn more and register
- Crystal Washington — Visit crystalwashington.com
Additional Resources:
Email us at dwilliams@mgma.com if you would like to appear on an episode. If you have a question about your practice that you would like us to answer, send an email to advisor@mgma.com. Don't forget to subscribe to our network wherever you get your podcasts.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Daniel Williams (00:02):
Well, hi, everyone. I'm Daniel Williams,
senior editor at MGMA and hostof the MGMA Podcast Network.
Today, we are continuing ourcoverage of the upcoming MGMA
Leaders Conference. It'sSeptember 28, through October 1
in Orlando. And today, we are soblessed to have one of our
(00:23):
keynote speakers, CrystalWashington, who is join joining
us today.
Crystal, I've been readingabout. Crystal is a a futurist,
an author, a hall of famespeaker. That's kinda cool. And,
she's gonna be talking to usabout generative AI and other
issues like that. Crystal, it'sso good to get to connect with
(00:44):
you today.
Crystal Washington (00:45):
I am so honored to get to spend some
time with you and, the audienceas well. Thank you for having
me.
Daniel Williams (00:52):
Yeah. So I have to ask you before we get
rolling. Are you an Orlandoperson, a Disney kind of person?
Do you like things like that? Or
Crystal Washington (00:59):
I have a Disney addiction. If I could
move in, I would. In fact, I'mone of the few adults I know who
have gone to Disneyland and acouple parks in Disney World
even by myself. So I don't haveto have a chill child. I don't
have to have another person.
I will go by myself and even geton the kiddie rides with little
(01:20):
kids. So I'm there with, like,four year olds. It's a small
world. Yay.
Daniel Williams (01:25):
That is so cool. Well, I don't know if
you've carved out any time. Iknow you have a busy schedule.
If you plan to hit Disney oranything else while you're
there. Anything?
Are you just flying in, flyingout? What are you gonna do?
Crystal Washington (01:37):
We kinda have to wait until we get
closer. I I get in trouble if Istart making fun grandiose plans
before I get close. My team getson me, so sometimes other things
are planned. But I hope I hope,Daniel, that I get a chance to,
and, hopefully, some of theattendees will be right there
with me. We'll be small rollingit together.
Daniel Williams (01:54):
Okay. Well, that is so cool. And you can
ride the rides for me. I have anow 20 year old who got me to do
a few rides about a decade ago,and I got off of one of those
things that had me movingsideways and upside down. And I
went, that's it.
That's the last one. So I I knowmy limits, and I will leave that
(02:14):
to you, Crystal, and mydaughter, and other people who
like really fast, rides thatdisorient. So Let's talk about
you a little bit. I gave somebackground of you being an
author, a hall of fame speaker,a futurist. How did you get
involved in being a future howdoes someone become a futurist?
(02:35):
Someone who looks in to, like,what's going on with technology,
trends, things of that nature.
Crystal Washington (02:41):
It's interesting because I was a
futurist before I knew I was afuturist. It actually took one
of the more founding futuristsin The United States from, like,
the seventies to see me and waslike, you do know you're a
futurist. I'm like, what? And Iwent through training.
Basically, it it falls into howI think.
Just
Daniel Williams (02:57):
Okay.
Crystal Washington (02:57):
I've always been I was a baby that did
puzzles, and I have a way ofjust looking a few steps ahead.
But, basically, I guess the partof the story that might be
interesting and it led to thisis that my degree is in
hospitality because they offerme a free ride. And so when I
was in that industry, I startedto see what was going to happen
(03:18):
ahead of time. And I was veryyoung. I was in my early
twenties over department ofpeople old enough to be my
parents and grandparents.
And I remember telling my boss,I have a feeling, and this is in
the two thousands, this socialmedia thing's gonna be big. I
said, I just feel like it's amatter of time before companies
get on here. Now, of course, nowwe're like, duh. But it hadn't
(03:38):
happened yet. And I said, thinkabout it.
If Pepsi gets on there and theyhave a profile, Pepsi can talk
to people who love Pepsi, andthey'll love Pepsi more. And my
boss, who's a few generationspast me, said, look, kid. You're
cute and you make us a bleepload of money. He didn't say
bleep. Stick to what you know.
And I was like, oh, burns. Andso I did what any self
(04:01):
respecting millennial would do.I quit my job and I started a
company. And so it was allaround leveraging social media
to grow small business. Istarted with mom and pops in the
Houston area.
And then within about a year,year and a half, I had Google,
Microsoft, and British Airwayshire me as a consultant. So I've
always had a way of seeing whatwas coming ahead of time,
(04:23):
especially with technology. Andwhen your future is you actually
go through training for this,degrees. So there's there's more
to it. Right?
It's going back to school andeverything. But it's a way of
seeing the world where you seealternative futures that are
likely to happen by collectingdata points, recognizing not
just trends, but somethingcalled signals, Daniel. Those
(04:44):
are things that we've all seenbefore. We know how we see those
little things, and we're like,this keeps popping up. I don't
know what it means, but it meanssomething.
Yeah. Knowing how to analyzethat and turn that into data,
that's really what futurists do.And we help individuals or
organizations prepare for thosevery likely alternative futures
and even get ahead of them totry to bring about the future
(05:05):
they want. There's things thatwe can do that oftentimes in
normal strategic planningdoesn't happen.
Daniel Williams (05:12):
Okay.
Crystal Washington (05:12):
So that was my course to being a futurist.
It started off with my businessand then the speaking and a
futurist being like, wait aminute. And she pulled me aside
and told me to go through allthis extra training. So now I
just have models that reallymatch how I naturally think. I'm
always thinking several stepsahead.
Daniel Williams (05:29):
Yeah. And it's really interesting you
explaining that you reallystarted out in hospitality. I
don't know how many futuristscombine those two elements of
life. I think that is so cool.Were you not not like you saw
the future, but, you know, thepandemic obviously really rocked
(05:51):
us on a global level, and justso much is changing so fast.
So we have the pandemic, then wehave AI has been around for
decades. But to consumers likeme and many of our listeners,
AI, quite possibly the way weinteract with AI right now with
ChatGPT and other, you know,platforms out there, that has
(06:15):
just exploded in these lastseveral years. So what would you
say about what's going on justfrom that everyday use of AI?
And then we'll get into thehealth care side of it.
Crystal Washington (06:25):
Well, I I think it's important to ground
ourselves in the fact that theterm artificial intelligence was
invented in the nineteenfifties. Okay. We have been
using artificial intelligencefor anyone that's alive right
now, they've actually been usingit for almost their entire life
unless they're over a 100 yearsold. Right. And so any type of
technology that performs areasoning function that used to
(06:47):
require the human brain so evena regular calculator from the
seventies is technicallyartificial intelligence.
Daniel Williams (06:53):
Wow.
Crystal Washington (06:54):
So we have to understand that it's not this
new scary thing. Now it did,increase dramatically starting
to get into the February,especially in the medical field
or when it came to actuaries forinsurance, analyzing data,
scanning. We know that it'softentimes more reliable than
humans when it comes torecognizing irregularities in
(07:17):
medical scans. But the reasonwhy everyone's talking about it
now, and it seems overwhelming,cause even then when that was
happening in the medical field,and it was growing tremendously
even in 2020, I actually did anine month IBM data science
certificate to better understandit, especially from a medical
perspective. Now I have nointerest in being a data
scientist.
I just I see what's coming, andI like to study it ahead of
(07:38):
time. Right. It was really theinvention of or the not
invention. It was theintroduction of generative AI to
the public in November 2022,which really blew the cap off.
Right.
Because this was a form of of AIthat generated human like
responses. Mhmm. That seemedlike it could analyze things. It
seemed like it could draw andmake videos and do summaries. We
(08:01):
hadn't seen that before.
And, And, of course, when youunderstand what it is, you know
that it's not an oracle. It'sactually just advanced math and
pattern recognition. But thespeed with which it's increasing
is dramatic, but it's not asdramatic as people think. What's
happening is we're listening tothe people who are creating it,
(08:22):
who are saying it's gonna beable to do this, this, this,
this, and we're looking at themas experts when they're really
salespeople. Does that makesense?
Yeah. And so what happens is youbuy into the hype of a thing.
I'm not saying that it's notimportant, but what it does is
it creates this anxiety inpeople. And if you look at some
of the Elon Musks of the worldor you look at, you know, our
(08:43):
folks over at Meta, right,Oftentimes, the things that they
say do not come to pass in atimeline they say at all,
period. What Meta was supposedto be capable of is not what
it's doing right now.
Anybody remember the metaverse?People were spending Yeah.
Hundreds of thousands of dollarsto buy real estate in an in in
an invisible world. Right? So Isay that because I think we
(09:05):
should take it seriously,Daniel.
But I also think that we have tounderstand it's not moving as
fast as they say it is. It isnot as accurate as some are
portraying it is to be. It isnot human level intelligence.
And we have to be super carefulthat we're listening more to the
engineers versus the faces oforganizations that stand to
benefit from people buying intowhatever they're saying because
(09:29):
it helps their stock prices goup. It gives them additional
opportunities and investors.
We have to wait.
Daniel Williams (09:34):
Okay. Yeah. Yeah. Wow. Okay.
I was telling you offline thathealth care leaders, those are
who are MGMA podcast listenersare, they're juggling everything
from staffing to compliance toefficiency to just the
complexity of the healthcareworld, trying to keep their
practices profitable or bringingin as much money as they can
(09:57):
while providing the care that'sneeded for their patients. They
don't have the time, like maybeyou do, to to be an expert in
AI. How do they embrace itwithout being overwhelmed by it?
What can they do, as health careleaders?
Crystal Washington (10:12):
I mean, do think we have to set aside time
for learning, period. But Iunderstand you know, when we
talk about leaders in themedical field, my gosh. You
know, from staffing shortages tochallenges in getting certain
supplies right now and globalsupply chains, I know there's
not a whole lot of extra time.So I just wanna say that my the
next thing I say is gonna comefrom someone who strongly, both
(10:34):
appreciates and empathizes, withthe situation. But even if it's
just setting aside ten, fifteenminutes to just have just it it
could be just looking at what'scoming out for your industry.
It could be reading somethinglike TLDR. That's too long,
didn't read. It's a it's a ablog that comes out daily, and
you don't have to read it daily.But, you know, just kinda look
(10:56):
and see. And you can do a searchfor medical to see if it
mentions any type of AI that'sgoing to impact the medical
industry.
I think we just have to be opento see. What I do try to
discourage people from, and Ithink maybe the folks listening
to us right now will appreciatethis, Daniel, is that I tell
people the goal is not to be anearly adopter or first adopter
(11:17):
of any of this technology. Beingthe first with these types of
technologies is extremelypainful because there's a lot of
hiccups. There's a lot ofpotential law ish legal issues.
There's a lot of potential PRissues if you don't do this
right.
And I am someone who's sometimeshired to come into corporations
as they walk back access togenerative AI from their people
(11:38):
because they've seen how it'sblown up in their faces. And so
I think it's a matter of beingopen, but also really being
clear about what are the topthree challenges in your
practice or your organizationright now. And then if you hear
of any type of generative AI orany other type of technology
that addresses those specificchallenges, then spend some time
(12:00):
looking into it. What'shappening right now is we live
in this very interesting worldwhere leaders of all kinds of
industries are doing theopposite. They see a new
technology.
It's shiny. Oh, let me figureout how I could use this. That
is backwards. That's not a gooduse of your time. If you
identify your challenges, thenif you see the technology, oh,
let me see if this helps withone of those three things.
Because that's a quick lookup.Nope. Okay. I keep moving.
(12:23):
Because there's a lot ofwonderful technology that might
actually add value, but it maynot add value to you, your
practice, your organization,your career, your patients.
Daniel Williams (12:33):
Okay. Now I know you are tight on time.
You've got other appointmentstoday, but I wanted if you could
leave our listeners with onething. You're gonna be speaking
in Orlando on generative AI forleaders. What is something fun?
What's something exciting thatyou could share with them that
they can expect to to learn orhear or listen to in that
(12:55):
keynote?
Crystal Washington (12:56):
Well, I think really one of the biggest
things you're gonna get out ofthis is, yes, we're gonna talk
about the applications for themedical industry. But you're
going to leave with some verypractical and even funny ways
that you can use some of thisstuff in your everyday life
that's not intrusive, but that'sactually helpful. So just, you
know, for anyone that feelsoverwhelmed, which is most
people right now. Right?
Daniel Williams (13:16):
Yeah.
Crystal Washington (13:16):
I don't want you to come feeling like you're
going to have all this stuffdownloaded into and it's gonna
be overwhelming. It's not. We'regonna make this practical. We're
gonna make it fun. And really,just like, you know, in the
medical field, some thingsreally aren't as complicated as
people make them out to be.
It's just having a basicunderstanding. And we're going
to strip this down so it's aspragmatic as possible and fun.
(13:38):
You're gonna see it'sinteractive too. It's fun.
Daniel Williams (13:41):
Alright. Well, Crystal Washington, keynote
speaker, author, futurist,thanks for joining us on the
MGMA podcast.
Crystal Washington (13:48):
Thank you so much, Daniel.
Daniel Williams (13:50):
Alright, everyone. Crystal will be
speaking at our leadersconference on generative AI for
leaders, staying ahead in amachine driven world. Again,
that, conference is in Orlando,September 28 through October 1.
You can go to mgma.com/leadersright now and register or learn
more about it. Thank you so muchfor being MGMA podcast
(14:12):
listeners.
Well, hi, everyone. I'm Daniel Williams,
senior editor at MGMA and hostof the MGMA Podcast Network.
Today, we are continuing ourcoverage of the upcoming MGMA
Leaders Conference. It'sSeptember 28, through October 1
in Orlando. And today, we are soblessed to have one of our
(00:23):
keynote speakers, CrystalWashington, who is join joining
us today.
Crystal, I've been readingabout. Crystal is a a futurist,
an author, a hall of famespeaker. That's kinda cool. And,
she's gonna be talking to usabout generative AI and other
issues like that. Crystal, it'sso good to get to connect with
(00:44):
you today.
Crystal Washington (00:45):
I am so honored to get to spend some
time with you and, the audienceas well. Thank you for having
me.
Daniel Williams (00:52):
Yeah. So I have to ask you before we get
rolling. Are you an Orlandoperson, a Disney kind of person?
Do you like things like that? Or
Crystal Washington (00:59):
I have a Disney addiction. If I could
move in, I would. In fact, I'mone of the few adults I know who
have gone to Disneyland and acouple parks in Disney World
even by myself. So I don't haveto have a chill child. I don't
have to have another person.
I will go by myself and even geton the kiddie rides with little
(01:20):
kids. So I'm there with, like,four year olds. It's a small
world. Yay.
Daniel Williams (01:25):
That is so cool. Well, I don't know if
you've carved out any time. Iknow you have a busy schedule.
If you plan to hit Disney oranything else while you're
there. Anything?
Are you just flying in, flyingout? What are you gonna do?
Crystal Washington (01:37):
We kinda have to wait until we get
closer. I I get in trouble if Istart making fun grandiose plans
before I get close. My team getson me, so sometimes other things
are planned. But I hope I hope,Daniel, that I get a chance to,
and, hopefully, some of theattendees will be right there
with me. We'll be small rollingit together.
Daniel Williams (01:54):
Okay. Well, that is so cool. And you can
ride the rides for me. I have anow 20 year old who got me to do
a few rides about a decade ago,and I got off of one of those
things that had me movingsideways and upside down. And I
went, that's it.
That's the last one. So I I knowmy limits, and I will leave that
(02:14):
to you, Crystal, and mydaughter, and other people who
like really fast, rides thatdisorient. So Let's talk about
you a little bit. I gave somebackground of you being an
author, a hall of fame speaker,a futurist. How did you get
involved in being a future howdoes someone become a futurist?
(02:35):
Someone who looks in to, like,what's going on with technology,
trends, things of that nature.
Crystal Washington (02:41):
It's interesting because I was a
futurist before I knew I was afuturist. It actually took one
of the more founding futuristsin The United States from, like,
the seventies to see me and waslike, you do know you're a
futurist. I'm like, what? And Iwent through training.
Basically, it it falls into howI think.
Just
Daniel Williams (02:57):
Okay.
Crystal Washington (02:57):
I've always been I was a baby that did
puzzles, and I have a way ofjust looking a few steps ahead.
But, basically, I guess the partof the story that might be
interesting and it led to thisis that my degree is in
hospitality because they offerme a free ride. And so when I
was in that industry, I startedto see what was going to happen
(03:18):
ahead of time. And I was veryyoung. I was in my early
twenties over department ofpeople old enough to be my
parents and grandparents.
And I remember telling my boss,I have a feeling, and this is in
the two thousands, this socialmedia thing's gonna be big. I
said, I just feel like it's amatter of time before companies
get on here. Now, of course, nowwe're like, duh. But it hadn't
(03:38):
happened yet. And I said, thinkabout it.
If Pepsi gets on there and theyhave a profile, Pepsi can talk
to people who love Pepsi, andthey'll love Pepsi more. And my
boss, who's a few generationspast me, said, look, kid. You're
cute and you make us a bleepload of money. He didn't say
bleep. Stick to what you know.
And I was like, oh, burns. Andso I did what any self
(04:01):
respecting millennial would do.I quit my job and I started a
company. And so it was allaround leveraging social media
to grow small business. Istarted with mom and pops in the
Houston area.
And then within about a year,year and a half, I had Google,
Microsoft, and British Airwayshire me as a consultant. So I've
always had a way of seeing whatwas coming ahead of time,
(04:23):
especially with technology. Andwhen your future is you actually
go through training for this,degrees. So there's there's more
to it. Right?
It's going back to school andeverything. But it's a way of
seeing the world where you seealternative futures that are
likely to happen by collectingdata points, recognizing not
just trends, but somethingcalled signals, Daniel. Those
(04:44):
are things that we've all seenbefore. We know how we see those
little things, and we're like,this keeps popping up. I don't
know what it means, but it meanssomething.
Yeah. Knowing how to analyzethat and turn that into data,
that's really what futurists do.And we help individuals or
organizations prepare for thosevery likely alternative futures
and even get ahead of them totry to bring about the future
(05:05):
they want. There's things thatwe can do that oftentimes in
normal strategic planningdoesn't happen.
Daniel Williams (05:12):
Okay.
Crystal Washington (05:12):
So that was my course to being a futurist.
It started off with my businessand then the speaking and a
futurist being like, wait aminute. And she pulled me aside
and told me to go through allthis extra training. So now I
just have models that reallymatch how I naturally think. I'm
always thinking several stepsahead.
Daniel Williams (05:29):
Yeah. And it's really interesting you
explaining that you reallystarted out in hospitality. I
don't know how many futuristscombine those two elements of
life. I think that is so cool.Were you not not like you saw
the future, but, you know, thepandemic obviously really rocked
(05:51):
us on a global level, and justso much is changing so fast.
So we have the pandemic, then wehave AI has been around for
decades. But to consumers likeme and many of our listeners,
AI, quite possibly the way weinteract with AI right now with
ChatGPT and other, you know,platforms out there, that has
(06:15):
just exploded in these lastseveral years. So what would you
say about what's going on justfrom that everyday use of AI?
And then we'll get into thehealth care side of it.
Crystal Washington (06:25):
Well, I I think it's important to ground
ourselves in the fact that theterm artificial intelligence was
invented in the nineteenfifties. Okay. We have been
using artificial intelligencefor anyone that's alive right
now, they've actually been usingit for almost their entire life
unless they're over a 100 yearsold. Right. And so any type of
technology that performs areasoning function that used to
(06:47):
require the human brain so evena regular calculator from the
seventies is technicallyartificial intelligence.
Daniel Williams (06:53):
Wow.
Crystal Washington (06:54):
So we have to understand that it's not this
new scary thing. Now it did,increase dramatically starting
to get into the February,especially in the medical field
or when it came to actuaries forinsurance, analyzing data,
scanning. We know that it'softentimes more reliable than
humans when it comes torecognizing irregularities in
(07:17):
medical scans. But the reasonwhy everyone's talking about it
now, and it seems overwhelming,cause even then when that was
happening in the medical field,and it was growing tremendously
even in 2020, I actually did anine month IBM data science
certificate to better understandit, especially from a medical
perspective. Now I have nointerest in being a data
scientist.
I just I see what's coming, andI like to study it ahead of
(07:38):
time. Right. It was really theinvention of or the not
invention. It was theintroduction of generative AI to
the public in November 2022,which really blew the cap off.
Right.
Because this was a form of of AIthat generated human like
responses. Mhmm. That seemedlike it could analyze things. It
seemed like it could draw andmake videos and do summaries. We
(08:01):
hadn't seen that before.
And, And, of course, when youunderstand what it is, you know
that it's not an oracle. It'sactually just advanced math and
pattern recognition. But thespeed with which it's increasing
is dramatic, but it's not asdramatic as people think. What's
happening is we're listening tothe people who are creating it,
(08:22):
who are saying it's gonna beable to do this, this, this,
this, and we're looking at themas experts when they're really
salespeople. Does that makesense?
Yeah. And so what happens is youbuy into the hype of a thing.
I'm not saying that it's notimportant, but what it does is
it creates this anxiety inpeople. And if you look at some
of the Elon Musks of the worldor you look at, you know, our
(08:43):
folks over at Meta, right,Oftentimes, the things that they
say do not come to pass in atimeline they say at all,
period. What Meta was supposedto be capable of is not what
it's doing right now.
Anybody remember the metaverse?People were spending Yeah.
Hundreds of thousands of dollarsto buy real estate in an in in
an invisible world. Right? So Isay that because I think we
(09:05):
should take it seriously,Daniel.
But I also think that we have tounderstand it's not moving as
fast as they say it is. It isnot as accurate as some are
portraying it is to be. It isnot human level intelligence.
And we have to be super carefulthat we're listening more to the
engineers versus the faces oforganizations that stand to
benefit from people buying intowhatever they're saying because
(09:29):
it helps their stock prices goup. It gives them additional
opportunities and investors.
We have to wait.
Daniel Williams (09:34):
Okay. Yeah. Yeah. Wow. Okay.
I was telling you offline thathealth care leaders, those are
who are MGMA podcast listenersare, they're juggling everything
from staffing to compliance toefficiency to just the
complexity of the healthcareworld, trying to keep their
practices profitable or bringingin as much money as they can
(09:57):
while providing the care that'sneeded for their patients. They
don't have the time, like maybeyou do, to to be an expert in
AI. How do they embrace itwithout being overwhelmed by it?
What can they do, as health careleaders?
Crystal Washington (10:12):
I mean, do think we have to set aside time
for learning, period. But Iunderstand you know, when we
talk about leaders in themedical field, my gosh. You
know, from staffing shortages tochallenges in getting certain
supplies right now and globalsupply chains, I know there's
not a whole lot of extra time.So I just wanna say that my the
next thing I say is gonna comefrom someone who strongly, both
(10:34):
appreciates and empathizes, withthe situation. But even if it's
just setting aside ten, fifteenminutes to just have just it it
could be just looking at what'scoming out for your industry.
It could be reading somethinglike TLDR. That's too long,
didn't read. It's a it's a ablog that comes out daily, and
you don't have to read it daily.But, you know, just kinda look
(10:56):
and see. And you can do a searchfor medical to see if it
mentions any type of AI that'sgoing to impact the medical
industry.
I think we just have to be opento see. What I do try to
discourage people from, and Ithink maybe the folks listening
to us right now will appreciatethis, Daniel, is that I tell
people the goal is not to be anearly adopter or first adopter
(11:17):
of any of this technology. Beingthe first with these types of
technologies is extremelypainful because there's a lot of
hiccups. There's a lot ofpotential law ish legal issues.
There's a lot of potential PRissues if you don't do this
right.
And I am someone who's sometimeshired to come into corporations
as they walk back access togenerative AI from their people
(11:38):
because they've seen how it'sblown up in their faces. And so
I think it's a matter of beingopen, but also really being
clear about what are the topthree challenges in your
practice or your organizationright now. And then if you hear
of any type of generative AI orany other type of technology
that addresses those specificchallenges, then spend some time
(12:00):
looking into it. What'shappening right now is we live
in this very interesting worldwhere leaders of all kinds of
industries are doing theopposite. They see a new
technology.
It's shiny. Oh, let me figureout how I could use this. That
is backwards. That's not a gooduse of your time. If you
identify your challenges, thenif you see the technology, oh,
let me see if this helps withone of those three things.
Because that's a quick lookup.Nope. Okay. I keep moving.
(12:23):
Because there's a lot ofwonderful technology that might
actually add value, but it maynot add value to you, your
practice, your organization,your career, your patients.
Daniel Williams (12:33):
Okay. Now I know you are tight on time.
You've got other appointmentstoday, but I wanted if you could
leave our listeners with onething. You're gonna be speaking
in Orlando on generative AI forleaders. What is something fun?
What's something exciting thatyou could share with them that
they can expect to to learn orhear or listen to in that
(12:55):
keynote?
Crystal Washington (12:56):
Well, I think really one of the biggest
things you're gonna get out ofthis is, yes, we're gonna talk
about the applications for themedical industry. But you're
going to leave with some verypractical and even funny ways
that you can use some of thisstuff in your everyday life
that's not intrusive, but that'sactually helpful. So just, you
know, for anyone that feelsoverwhelmed, which is most
people right now. Right?
Daniel Williams (13:16):
Yeah.
Crystal Washington (13:16):
I don't want you to come feeling like you're
going to have all this stuffdownloaded into and it's gonna
be overwhelming. It's not. We'regonna make this practical. We're
gonna make it fun. And really,just like, you know, in the
medical field, some thingsreally aren't as complicated as
people make them out to be.
It's just having a basicunderstanding. And we're going
to strip this down so it's aspragmatic as possible and fun.
(13:38):
You're gonna see it'sinteractive too. It's fun.
Daniel Williams (13:41):
Alright. Well, Crystal Washington, keynote
speaker, author, futurist,thanks for joining us on the
MGMA podcast.
Crystal Washington (13:48):
Thank you so much, Daniel.
Daniel Williams (13:50):
Alright, everyone. Crystal will be
speaking at our leadersconference on generative AI for
leaders, staying ahead in amachine driven world. Again,
that, conference is in Orlando,September 28 through October 1.
You can go to mgma.com/leadersright now and register or learn
more about it. Thank you so muchfor being MGMA podcast
(14:12):
listeners.
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