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This is Laura Derna with the Becker's Healthcare

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podcast. I'm thrilled today to be joined by

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Shaqueb Akhtar,

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senior vice president and chief digital and information

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officer at Children's Hospital of Philadelphia. Shaqueb, it's

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a pleasure to have you on the podcast

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today.

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Hi, Laura. Great to be here. Thanks for

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having me.

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Now I'm excited for our conversation because I

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know you do some really amazing things at

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Children's Hospital of Philadelphia, and, certainly,

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I'm looking forward to getting your perspective on

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how things are growing and evolving for the

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future. But before we dive into that discussion,

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can you tell us a little bit more

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about Children's Hospital Philadelphia and what makes it

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unique?

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Sure.

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You know, I think the Children's Hospital Philadelphia

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is a very unique place in the world.

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You know, our mission is to really

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bring life changing research to the communities that

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and the patients that we

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serve and to drive breakthroughs. So I think

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what makes CHOP really unique is just the

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unbelievable,

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research,

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clinic and clinical expertise

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that,

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and and and the centering that we have

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around patient care.

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Those three things together really drive a have

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driven a long history of

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strong clinical care outcomes and driving innovation and

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breakthroughs,

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in in in developing new research therapies

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or pediatric care.

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And so it's really special place to be.

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I'm surrounded by very intelligent people every day

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and do my work, and that inspires me

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continues to inspire me every day.

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That's great to hear. It definitely sounds like

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an amazing environment to be part of providing

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care for such an important community.

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Now I'm curious. From the last year or

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so, what are some of the accomplishments you're

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most proud of?

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Yeah. I'm glad you didn't ask me to

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just, stick to a singular.

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You know, the demand for what we call

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our team here, digital technology services, has just

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been, you know, exponentially increasing.

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And so there are a few things that

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I think, you know, I'm very proud of,

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with the work that the team has done

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and accomplished last year. One is,

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we completed our epic refuel. So this is,

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essentially,

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going back to foundation epic. We achieved

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honor roll,

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and then also goal stars level eight with

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that. So that's, you know, standardized a lot

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of our clinical operational workflows

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and helped folks save a ton of time.

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And the work that you're doing introduced new

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new automation features

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and, streamlined the workflows across the enterprise.

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Second is our digital care models work. So

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this is work in which we're essentially trying

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to

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provide, virtual care services to our to our

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patients. And so,

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we have a we have built a remote

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patient management program

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that now has close to 9,000,

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children enrolled. It allows them to essentially get

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discharged from the hospital

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earlier, go home earlier,

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have their care needs taken care from at

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home. We've seen some amazing results in terms

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of reduction in length of stay,

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reduction in readmission with that work, and a

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couple of even life saving catches,

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which is always just really satisfying to see

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that that work is making a difference.

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And now we're expanding that, you know, to

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be broader than just remote patient management, virtual

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care, virtual nursing.

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We launched that, program,

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this past year as well and and things

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of it, and now we're planning on scaling

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it.

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From a data analytics perspective, which if anybody

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knows me, that's, you know, always been close

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to my heart.

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We I'm very proud of our team. We

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just celebrated our complete or celebrating this week,

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actually, our completion

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of the mic the migration of our data

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analytics platform, which we affectionately call Helix to

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Snowflake.

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And so that was a incredible amount of

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work to essentially look at all of our

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data assets,

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validate

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their quality, refactor them, and then migrate our

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data warehouse as well as our,

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data assets to leverage this new platform,

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which we think it will now drive, you

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know, faster data and analytics, data and better

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data driven decision making across the enterprise.

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And then last but not least is the

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progress that we made with AI. They, you

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know, we've done an incredible amount of work

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in that space over the last year. It's

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been enormous focus, like, for us,

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like, for so many others.

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We have rolled out what we call chop

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GPT, and it has now,

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a little over, I believe, 900 users. We

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may have, increased that a bit. But, essentially,

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it's our version of chat GPT that's compliant.

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We've also been on the kind of the

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forefront with Epic to release some of their

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generative AI,

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functionality. We were the first organization in the

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country to scale what's called ART

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by Epic, which is essentially

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generative AI drafting responses to patient messages, which

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is a huge source of

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administrative

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burden for our clinicians, and this allows them

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to just respond to those patient notes faster

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with a little bit less of a burden

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than them having to analyze the note. We're

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now we are also going live this week

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with something called note summarization, which allows

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is is generative

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AI summarizing many notes,

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for clinicians in Epic and allows them to

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to do their reviews of patient charts faster

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and,

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look through the patient history

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and potentially,

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discover things that are really helpful as they

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as they care for their patients. So a

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lot of progress that I'm really proud of

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across all of our teams.

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That's amazing to hear. You know, certainly awesome

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to have that kind of results with, the

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work you're doing with Epic in those clinical

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workflows and then some of the other digital

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care models as well as seeing really, really

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strong results on the clinical side as well

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as

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making things more efficient for the caregivers. And

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then I love your synopsis of everything you're

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doing with AI. I I know that's such

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a huge,

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huge priority for so many health systems right

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now is figuring out how to leverage it

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in the right way and incorporate it strongly

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within their broader

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teams. And so the idea of CHOP, GPT,

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and and everything you're doing there is is

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really cool. Thank you for sharing that with

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us. Now,

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amazing things you were able to accomplish in

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the last year. What is happening ahead? Like,

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where do you see some of the big

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growth opportunities for your team in the next

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twelve months or so?

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Yeah. I think it's a good question. I

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think that, there is going to be no

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shortage of opportunity. Our space,

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both in terms of technology and health care

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are evolving so quickly. You know, I see

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that,

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whether it's AI, automation, machine learning, other forms

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of AI,

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health care is,

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continues to be a,

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an industry that's really ripe for disruption,

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and can really benefit from these tools, and

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in our in our modern technology. So I

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think

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few things, three areas of focus, which I

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think, are big opportunities for the team. One

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is I think we're experiencing

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an AI and automation moment in health care

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where

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health care systems

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are now looking at AI and automation as

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a potential source to,

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solve some of the larger problems we're experiencing

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in the industry. For example,

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you know, decreased payer re reimbursement,

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decrease revenue. How do we use AI automation

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to capture more revenue,

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and drive efficiency across the teams to help

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reduce some of the labor costs that we

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see? So,

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I think that there is a large AI

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automation moment that our teams are gonna lean

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heavily into. How do we what is the

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state of AI? Where are the tools that

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are proven to to provide

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really strong ROI

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for our caregivers,

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our operations,

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operational folks in it across our entire workforce

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to really drive ROI.

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So that is an enormous opportunity for our

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team to lean into,

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learn those tools,

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expand and implement them in use cases that

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are really

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powerful for our health system.

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The second is, I think, the cloud opportunity.

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You know, we've seen many other health systems

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move to cloud over the last few years,

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but now even Epic, you know, providing

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their platform to be available in in,

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in multiple,

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cloud service providers. And so we're gonna have

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a large focus on migrating many of our

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workloads

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from our current data centers to the cloud,

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which is a significant shift and will help

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us reduce the cost of technology to the

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health system so those dollars can be deployed

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elsewhere,

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but also just increase our ability to scale

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and at the speed that we can deploy

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new technology. So we are very focused on

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a cloud migration without a very large cloud

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migration that'll take place over the next couple

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of years.

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And then last, I think this is applicable

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to my team, but almost, you know, every

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other tech team in the world right now,

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which is reskilling.

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You know, given

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the, new technologies and,

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you know, how fast

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technology is evolving, especially,

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the AI,

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space,

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there's a there's a large opportunity, I think,

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for all of us and to be continuous

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learners and to reskill ourselves to meet,

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to learn these tools so that we can

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be more effective and support our organizations better

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in the long term. So we have a

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very strong focus on

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creating a what we're calling a digital literacy

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curriculum across the enterprise. So give you one

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example. We released an intel intelligent automation course.

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It's available to all 20,000 people at shop

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today, and it covers, you know, the basics

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of AI, automation, etcetera.

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We plan on expanding that to a number

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of different courses, and we're establishing a specific

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reskilling program for the digital technology services team

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to learn these technologies and and,

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and be able to implement them safely, effectively,

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and at speed.

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So there's a lot to do, but it's

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exciting work.

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Absolutely. Wow.

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Just really, really amazing to hear, especially

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thinking through, as you mentioned, AI moving so

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quickly. And,

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I love the structure you put around being

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able to provide those reskilling continuous learning opportunities

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for many folks across the board. I think

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that's so critical in being able to keep

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up with the pace of change and then,

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to giving folks the ability to grow their

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careers.

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I'm curious. What are some of the challenges

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that you're considering in navigating through right now

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as well?

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I think one of the biggest challenges

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is, and I think this is not unique

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to our teams, is the ability to prioritize.

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You know, the the demand

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for digital and technology

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services has just

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increased

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dramatically,

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as we see how these technologies can be

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applied to help us meet our strategic objectives,

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they're critical.

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And so I think the largest challenge we

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have is we're working across every layer of

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the stack, technology and infrastructure and the migration

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of the cloud I mentioned. You know,

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our applications, rationalizing them to make sure we're

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taking full advantage of any features that are

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available within our applications.

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And then, you know, kind of the top

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of the stack, which is analytics,

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really building analytics products that allow us to

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make very strong, trusted, data driven decisions. And

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the last is in this AI and automation

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space, you know, really taking these tools and

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applying them, which causes, you know, disruption across

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the enterprise, but there's an insatiable demand. And

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so I think our number one challenge is

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bandwidth on the teams and prioritizing

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what really matters,

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and will drive and move the needle,

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towards the goals that CHOP has broadly and

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is really critical to our strategy. I think

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that's one. The other the other large challenge

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I see is just the change management

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associated

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with implementing these technologies. You know, this is

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no longer

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IT

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implementing,

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you know, a new

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piece of infrastructure or a new piece of

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code.

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It is when you're talking about AI and

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automation, for example, we it is fundamentally going

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to change how

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clinical and operational teams are doing their work,

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and those folks are really busy

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doing what they do best, which is caring

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for patients. And so

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finding time in their schedules to help educate

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them, train them, work with them, and partner

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with them to say, what is the impact

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to your operation

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if we were to deploy this tool? And

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it has to happen early on. It has

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to happen during those projects, and it has

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to happen at the end to make sure

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that we've deployed those technologies safely and effectively.

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So I think operational readiness and change management

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is going to be a challenge and something

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we're preparing for

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by creating playbooks with our HR partners and

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others

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that utilize change management

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frameworks to help preplan,

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track how we're doing during, and then, you

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know, attract the impact of some of this

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technology

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on our staff and our workflows to make

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sure we're really going in with eyes wide

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open. But, you know, I think bandwidth on

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my teams,

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as well as bandwidth for operations and then

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really being strong in the change management space

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is gonna be a challenge in the next

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twelve to twenty four months.

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It makes a lot of sense especially given,

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what we've talked about in terms of all

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the different projects you have upcoming in in

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some of the cool things as well. I

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can imagine to continue to optimize and find

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ways to,

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to really make the best use out of

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them throughout the organization.

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Now before we wrap up here, what is

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the number one thing that you're doing to

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set CHOP up for long term success?

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I think one of the one of the

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the things that we're doing that's really important

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is making sure that all the work we

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do in DTS is value driven for the

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organization. It is directly linked to you know,

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this is something we've been, really focused on

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to ensure that it's, the work that we

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do in technology is not for the sake

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of implementing technology,

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00:14:20,399 --> 00:14:22,820
but it is truly connected to our enterprise

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strategy,

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our strategic objectives,

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and it and the outcomes that we, as

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an organization,

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00:14:30,664 --> 00:14:32,704
track and that are really important to us

402
00:14:32,704 --> 00:14:33,644
from a

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00:14:34,024 --> 00:14:36,764
operational clinical performance standpoint. And so

404
00:14:37,144 --> 00:14:39,544
our work means, essentially, what we're doing, whether

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it's our AI strategy or automation center excellence

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00:14:43,209 --> 00:14:46,009
or even digital literacy, which I mentioned, each

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00:14:46,009 --> 00:14:48,330
one of those things maps directly to our

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enterprise strategy.

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And and we are now developing outcome metrics

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that would essentially reflect

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00:14:55,450 --> 00:14:57,149
the impact of the work we're doing

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directly

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to the enterprise metrics that we care about

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most. So I think that's the best service

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we can provide to connect our work directly

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to

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our our mission, which is research, education,

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and providing the best clinical care,

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while also, you know, driving efficient and effective

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operations. And so we are highly focused on

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making sure our strategy is connected to that,

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and we're measuring the impact of the work.

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I think that's the number one thing we

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can do.

425
00:15:24,955 --> 00:15:26,634
Makes a lot of sense. Shaqib, thank you

426
00:15:26,634 --> 00:15:28,154
so much for joining us on the podcast

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00:15:28,154 --> 00:15:29,915
today. This has been a really fun conversation,

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00:15:29,915 --> 00:15:31,274
and we look forward to connecting with you

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00:15:31,274 --> 00:15:33,615
again soon. Thanks for having me.