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Hello, everyone. This is Jacob Emerson with Becker's

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Health Care. Thanks so much for tuning in

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to the Becker's Health Care podcast, where today

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we're gonna be talking about navigating network compliance

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and the top trends, value, and outcomes.

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So joining me for today's discussion is Gianni

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Aiello, who is the vice president of product

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at Verifiable. Gianni, thanks so much for taking

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the time to be with me on the

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podcast today.

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Yeah. Thank you, Jake. Absolute pleasure to be

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here. Excited for the conversation today.

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Likewise, Gianni. And before we dive into that,

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can you tell us a little bit more

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about yourself in terms of the the work

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you do at Verifiable

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and the role that the company plays within

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our health care system?

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Yeah. Sure. So, for the audience here, my

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my name is Jenny Hagan. I'm VP of

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ProductVerifiable,

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and I've been at the company now just

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over 18 months.

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But over the past 15 years, I've been

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a product leader at various different technology companies,

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including identity security and AI based voice to

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text solutions,

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both of which that served health care customers.

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So have a pretty extensive background in in

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serving health care organizations.

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At Verifiable,

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my role sort of centers around advanced our

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mission

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to become the autonomous system of record verified

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provider credentials.

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We really wanna streamline

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the often as as I think most people

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can understand the complex and

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sometimes resource intensive process in health care around

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credentialing,

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and we really want to divert those that

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that resource back to patient care. So we're

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that's sort of our primary mission.

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I'll sort of end with, like, we we

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believe that partitioning facility credentialing and monitoring shouldn't

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take weeks or months.

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It can be done in hours or even

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minutes.

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And, I think achieving that is is going

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to be about embracing technology, but also rethinking

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the way about the way way in which

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we go about doing some work. So, yeah,

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that's a little bit about me and and

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our mission at Verifiable.

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Fantastic. Well, appreciate you filling us in there,

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Gianni. And as you know, compliance is crucial

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in maintaining

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trust with patients and organizational

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integrity.

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So to get us started, can you explain

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the core components of a successful network compliance

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program

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and the trends that you're seeing today across

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the landscape?

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Yeah. So there's sort of a varied perspective

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in the market

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around, like, what does what is needed for

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compliance. There's a lot of different elements to

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it. I'm I I obviously, given our focus

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is very credentialing centric,

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I'll I'll lean that way, but there are

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things that are very adjacent

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to compliance around things like network adequacy

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as an example,

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and, this the timing delivery of claims reimbursement

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that are that are part of a a

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compliance

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solution as well.

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But I'm gonna talk about sort of the

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the high level fundamentals that I think that

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make, a good compliance program irrespective of, like,

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the core mission of or the the use

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case that you might be solving within the

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scope of compliance.

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So I would say that the first step

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is really about data sharing and onboarding.

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There's always a step around how data is

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being shared between

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a provider organization and a payer organization,

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and that's often an area of friction.

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Rosters are a good example of, like, a

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data point or a a a format

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of data that's exchanged between organizations,

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and and having that exchange be as frictionless

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as possible is gonna be critical.

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The second step is, unsurprisingly, process automation.

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There is a lot of still manual activity

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that goes on in the process

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to exchange information,

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to validate and verify information,

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and then ultimately make decisions on that information.

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And so we believe that, you know, there

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there are some really compelling ways to to

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really better manage that that process,

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and and we think that customers need to

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sorry. Organizations need to drive towards that.

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And the first step is, like, an efficient

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and streamlined this is more specific to our

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world, like, credentialing process.

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We really do think that's sort of a

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starting point in the journey around compliance,

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around practitioners and facilities.

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Without having a credentialed facility or practitioner, you

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can't really get onto the other sections

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of compliance. And so having good packet creation,

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a focus committee review that focuses on risky

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cases versus

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everything that's coming through the organization

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is very important.

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And 2 more steps. The 4th step would

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be just provide them facility risk management. Like,

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okay. You've done credentialing,

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but that isn't where it ends. Right? A

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compliance program is an ongoing

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it's a program for a reason. It it

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needs ongoing monitoring. It needs ongoing management.

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So how do we make it so that

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as things change,

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practitioners change, facilities change,

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how are those risks being serviced in a

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way

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that makes the distribution

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much more straightforward and

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ultimately reduces down any potential liability concerns that

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might come from an issue that arises.

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And then last and certainly not least is

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just then then there is a a a

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network effect. Once this data is there, once

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it's available,

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how it can be distributed into other parts

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of the process, and sometimes it's not even

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compliance related processes, honestly.

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It could be something like just

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when do you unlock a specific provider

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from being available to for for claims reimbursement

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as part of an insurance plan. Like,

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the compliance program should be the arbor of

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that decision,

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and making sure that the system is interchangeable

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and quick to to allow that downstream system

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to to consume that context

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is really critical. So that's sort of the

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5 steps that we see, that are really

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important to a successful compliance program.

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Understood. And I appreciate you sharing those 5

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steps with us, Gianni. To follow-up with you,

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based on your experience and based off what

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verifiable

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is seen, ultimately, what's keeping payer organizations

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from effective network compliance?

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What are some of the barriers that that

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they're facing?

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Yeah. So I think there are there's gonna

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be a bit of a theme in some

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of my, like, my my thoughts here, I

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think. I think there's, like, an organizational

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reality, like, a business relationship

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thing or barrier, and then there's a technology

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barrier, and I'll talk about them both a

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little differently.

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So when it comes to the sort of

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the organizational barrier, you know, we are finding

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that there is a lack of efficient data

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sharing and collaboration

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between providers and payers in the industry.

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The relationship between these stakeholders often feels siloed

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with significant walls

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that need to be broken down, honestly. Like,

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it's it's a real problem.

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And without that partnership and streamlined process, compliance

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becomes

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really burdensome for everyone involved.

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Like, a major issue is the absence of

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an agreed upon standard for data exchange. Providers

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are often required to navigate,

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like, unique payer specific requirements for sharing information.

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Those requirements vary not because of, like, any

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meaningful difference in policy,

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but due to each payer's interpretation of those,

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those tasks and rules.

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So these differences aren't helping sort of anyone

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from an insurance perspective, like, drive differentiation. This

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is not like a a reason why organizations

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are differentiating.

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And so we really do need to break

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down that barrier

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because, you know, we do see we speak

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with we we fortunately serve both sides,

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and providers are having to deal with, like,

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15 different roster templates for different insurance companies.

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And they're having to provide different information, which

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means that data can sometimes get out of

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sync and and or different. And then on

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the on the insurance side, that means they

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also have to understand that the product the

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provider might be presenting information in incomplete formats.

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So that's one area. It's not really about

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technology. It's about, like, agreeing upon a set

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of principles, and I know that this is

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probably not this has been talked about for

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years.

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But and, honestly, until this gets resolved, this

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is gonna continue to be a real big

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challenge for a lot of organizations.

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We need some collective,

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decision making to to really break down that

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wall. I did wanna pull out that, like,

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we do also see that there is a

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real need on the technology side to just

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embrace more digitization. Like, I'm not we can

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we'll talk I'm sure we'll talk about that

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in in as we continue here. But, obviously,

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the more you can leverage Ditto assets and

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you can leverage more,

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electronic communications is going to drive much more

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efficiency here. And that's not just a statement

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of insurance and provider organizations. That's also the

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government and others that are the arborists of

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this information. And so we have to modernize

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in a lot of areas the technology stacks

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so we can become more efficient.

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Absolutely. And let me let me go back

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to your first point there, Gianni, about data

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privacy

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because we're we're constantly seeing the health care

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industry, both payers and providers, have to constantly

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deal with evolving laws and and regulations in

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this space.

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So how would you say that payers should

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be evolving their compliance programs with those evolving

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regulations?

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And then to follow-up with your second point,

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what's the role that digital transformation

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can play in that?

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Yeah. You know, evolving data proxy laws

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and regulations, I've I've I've been in another

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set sector, which is more about identity regulations.

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And so it's always an ever changing,

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benchmark. Right?

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But I think when it comes to digital

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transformation and compliance programs, you know, a digital

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footprint allows organizations

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to easily track where data resides and how

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it's stored and who is who has access

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to it.

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This level of visibility is almost impossible to

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achieve in a lot of the manual physical

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data management processes that sometimes still exist today,

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in particular where there's exchange between different services

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organizations around credentialing and managing these processes.

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So, like, with the right technologies, payers can

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control access,

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enforce robust security measures, and and most importantly,

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maintain sort of a detailed audit trail to

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track who is who is accessing or modifying

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this sensitive private data, right, which is ultimately

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where where the regulations are all moving.

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This transparency is not only helps in mitigating

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risk, but also ensures compliance and evolving regulatory

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framework. So if you have this benchmark and

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this foundation,

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it becomes much more straightforward for you to

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adjust as as the benchmarks change.

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You know, at Verifiable, we take this step

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further by providing sort of a deep audit

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trail across our platform.

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These trails sort of track every instance of

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data manipulation or access who have made the

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change,

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what was altered and when it occurred, And

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that sort of is the information that you

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need to be able to present in reports

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to anybody that is gonna be reviewing your

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privacy,

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regulations or or policies internally to make sure

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that you're you're keeping in line with those

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things and you don't expose yourself to additional

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risk.

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We also align with various accreditation bodies like

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NCQA

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around their expectations around handling,

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as well as joint commission and others to

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make sure that we're sort of meeting their

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minimum bar as well around the tracking of

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information as well.

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So, Johnny, let's talk about the ROI piece

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of all this. Obviously, it's it's important to

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create buy in on on new digital transformation

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projects.

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Can you share some examples for us in

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terms of short term and long term KPIs

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that you and Verifiable consider critical for a

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successful network compliance program.

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Ultimately, how can the leaders listening in right

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now measure their success in this space?

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Yeah. Obviously, we we we deal with a

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lot of different customers

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and organizations with actually varying different needs.

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But there are some sort of consistent perspectives

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here that we we do see irrespective of

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use case. And so in the short term,

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I think the most immediate ROI does tend

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to came come from an I don't think

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it's a surprise sort of efficiency gains internally.

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For example, our platform is incredibly efficient at

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performing primary source verifications and completing them in

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seconds.

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That translates to significant time and cost savings

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for internal teams

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that allows to freeze them from a lot

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of the repetitive tasks that they have to

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do there. It also improves the organization's risk

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posture because many customers were, you know, conducting

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as many as

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weren't even conducting certain verifications on Like, they

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were just didn't have the capacity to do

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it. So that leaves them exposed,

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when it comes down to,

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how they measure. Risk is always a more

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challenging ROI to measure. It tends to be

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like, what is the potential liability risk, which

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honestly, based on some of the cases that

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are out there, we're talking 1,000,000 and 1,000,000

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of dollars of potential

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liability risk. But there is real tangible efficiency

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gains that you can build an ROI model

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around in just internally

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around your team and how much more efficient

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you can be with certain digital transformation automation

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being put in place.

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In the long term,

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I think ROI is often seen

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in in sort of the speed and fluidity

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fluidity of data availability across the organization.

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So one of the inherent challenges is when

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you have sort of a bunch of disparate

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silos of data, you become much more inefficient

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in being able to

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flow through different scenarios and use cases,

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across the organization, and that creates sort of

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a rip ripple effect.

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We do see that these improvements lead to

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better you know, if if you solve the

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fluidity of data and how it can also

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be exchanged, so if you have a centralized

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data store where data is being shared across

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the organization

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and and it's and it's accurate,

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it leads to better member sentiment and stronger

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network adequacy, which you can measure. So you

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can actually tie

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member sentiment around things like your provider directory

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or the outcomes that you're driving from network

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adequacy

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to the

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improved efficiency of the collection of provider and

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facility information in a centralized store. And so

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we think that's another interest in our AI

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model that's a little bit more centered around

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the the member

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that is a more of a longer term

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play that once you get to a solid

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base, you can start to showcase the the

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tangible impact you're having there. So I think

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those are the sort of the primary areas

376
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I'd say. Efficiency gauge is obviously risk posture

377
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are the 2 short term. Speed and fluidity

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of data and and drive it towards member

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sentiment and network adequacy would be the more

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longer term place.

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Understood. And clearly still a lot of ongoing

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challenges in terms of network compliance success.

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But in that vein, Gianni, if you were

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looking ahead into your crystal balls as we

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enter a new year,

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what's one thing that you want health care

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leaders to be prepared for? And can you

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share some of the best practices that you've

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observed in your work with health care organizations

390
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all over the country?

391
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Yeah. I'm gonna I'm gonna probably, talk about

392
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2 things versus 1,

393
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cheat a little bit, because I do think

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that they're sort of I I've sort of

395
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touched it a little bit throughout,

396
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to to answer some of the other questions,

397
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but I think there are sort of 2

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areas to think about, honestly. 1 is sort

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of, like, leadership and organizational approach and some

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of the things that we observe with partners

401
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and organizations that we're working with and and

402
00:14:21,664 --> 00:14:24,000
and seeing success with. And then there's sort

403
00:14:24,000 --> 00:14:24,740
of the technology

404
00:14:25,919 --> 00:14:27,919
lens that I'm sure is sort of given

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my role and and what I represent would

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00:14:30,000 --> 00:14:31,679
be what people would expect me to answer

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00:14:31,679 --> 00:14:33,279
on. So I'll start with the leadership and

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00:14:33,279 --> 00:14:35,059
then land on the technology. So

409
00:14:35,375 --> 00:14:37,534
I I think leaders who are achieving meaningful

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00:14:37,534 --> 00:14:39,294
wins are those who sort of embrace the

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reality of digital transformation

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as an iterative journey

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rather than a one and done overhaul.

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We find that success

415
00:14:47,134 --> 00:14:49,534
the the most successful companies are focusing on

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00:14:49,534 --> 00:14:52,470
incremental improvements in specific areas and coming back

417
00:14:52,470 --> 00:14:54,629
to sort of my 5 steps. Right? We

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have a number of customers that are, like,

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very focused on, for example, either the credentialing

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00:14:59,670 --> 00:15:00,490
packet creation

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00:15:01,110 --> 00:15:03,590
or the risk posture management on the compliance

422
00:15:03,590 --> 00:15:05,845
side, so the monitoring portion of it. And

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00:15:05,845 --> 00:15:07,764
they they're they're very focused on that and

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00:15:07,764 --> 00:15:09,225
getting that into a better place,

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as step 1, and and showing results

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as an example.

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00:15:14,325 --> 00:15:15,065
And so

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00:15:15,524 --> 00:15:16,644
I mean, that's a really,

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00:15:17,205 --> 00:15:18,884
a critical thing, and we've seen that there

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00:15:18,884 --> 00:15:21,379
are customers that are in contrast to the

431
00:15:21,459 --> 00:15:24,200
embark on on a more monolithic project approach,

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where they're attempting to completely reimagine the process

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in one go

434
00:15:28,740 --> 00:15:32,100
and often face significant changes or they tend

435
00:15:32,100 --> 00:15:34,574
to fail, honestly, to meet their goals. We've

436
00:15:34,574 --> 00:15:37,074
seen the approach work firsthand with 1 customer

437
00:15:37,294 --> 00:15:39,314
that I I unfortunately, I can't I can't

438
00:15:39,454 --> 00:15:41,314
state, but they're a very well known,

439
00:15:41,694 --> 00:15:43,774
insurance company, and they sort of become a

440
00:15:43,774 --> 00:15:46,110
beacon for this iterative methodology, and the result

441
00:15:46,110 --> 00:15:48,190
speaks to themselves. I think they've seen massive

442
00:15:48,190 --> 00:15:49,649
improvements in team morale

443
00:15:49,950 --> 00:15:52,209
across their compliance credentialing teams.

444
00:15:52,509 --> 00:15:55,309
They've seen measurable improvements in their key performance

445
00:15:55,309 --> 00:15:57,970
indicators and their focus areas, and they've ultimately

446
00:15:58,190 --> 00:15:58,690
seen,

447
00:15:59,345 --> 00:16:01,184
operational success as well. They've been able to

448
00:16:01,184 --> 00:16:03,105
achieve quicker time to value, and and they

449
00:16:03,105 --> 00:16:06,065
were able to realize their ROI model that

450
00:16:06,065 --> 00:16:07,904
presented the budget to go and do what

451
00:16:07,904 --> 00:16:09,584
they did. So and they did it through

452
00:16:09,584 --> 00:16:11,264
not trying to do everything, and and I

453
00:16:11,264 --> 00:16:13,339
think that's a really important thing

454
00:16:13,799 --> 00:16:16,360
that surprisingly still isn't always embraced, which is

455
00:16:16,360 --> 00:16:18,120
why I bring it up. Like, the amount

456
00:16:18,120 --> 00:16:19,720
of times we deal with customers that are

457
00:16:19,720 --> 00:16:21,980
trying to just reinvent the entire process

458
00:16:22,360 --> 00:16:25,240
from scratch, and FAO is sort of it's

459
00:16:25,240 --> 00:16:26,860
surprising that it still occurs.

460
00:16:27,644 --> 00:16:30,365
On the technology side, I think well, honestly,

461
00:16:30,365 --> 00:16:31,964
I'm not someone that I'm not the type

462
00:16:31,964 --> 00:16:34,125
of product leader that gets excited about technology

463
00:16:34,125 --> 00:16:35,824
for for for its own sake.

464
00:16:36,284 --> 00:16:38,044
I do think it's impossible to ignore the

465
00:16:38,044 --> 00:16:39,584
impact of automation and AI

466
00:16:40,149 --> 00:16:41,909
and what it will have in how you

467
00:16:41,909 --> 00:16:43,929
go about doing network compliance.

468
00:16:44,470 --> 00:16:47,690
In particular around credentialing, it it will change,

469
00:16:48,470 --> 00:16:50,710
how work is done. And I think leaders

470
00:16:50,710 --> 00:16:52,629
who embrace these tools are better positioned to

471
00:16:52,629 --> 00:16:53,850
drive meaningful results.

472
00:16:54,934 --> 00:16:56,934
And a network compliance involves many manual and

473
00:16:56,934 --> 00:16:58,934
time consuming tasks that don't really add a

474
00:16:58,934 --> 00:17:02,054
ton of, like, man like, don't require a

475
00:17:02,054 --> 00:17:04,375
lot of, like, critical understanding of things. I

476
00:17:04,375 --> 00:17:06,454
I, you know, for example, I I can

477
00:17:06,454 --> 00:17:08,570
perform these tasks not only more cost effectively,

478
00:17:08,570 --> 00:17:11,309
but often with higher accuracy than traditional approaches.

479
00:17:12,009 --> 00:17:13,850
And and we're seeing that, like, you know,

480
00:17:13,850 --> 00:17:16,490
at Verifiable, we're particularly excited about the potential

481
00:17:16,490 --> 00:17:17,850
of AI to address 2 sort of critical

482
00:17:17,850 --> 00:17:20,750
areas. 1 is in the data onboarding process

483
00:17:21,234 --> 00:17:23,554
where I can help highlight required data based

484
00:17:23,554 --> 00:17:26,034
on provider types. So whether it's an MD

485
00:17:26,034 --> 00:17:27,954
that's being credentialed in MP or RN, we

486
00:17:27,954 --> 00:17:29,634
can do a much better job leveraging AI

487
00:17:29,634 --> 00:17:31,714
and to and calling out gaps or areas

488
00:17:31,714 --> 00:17:33,575
that we think need to be adjusted

489
00:17:33,890 --> 00:17:35,809
based on our understanding of the datasets that

490
00:17:35,809 --> 00:17:37,269
are out there and being more proactive.

491
00:17:37,650 --> 00:17:39,269
And that's something that's just

492
00:17:39,809 --> 00:17:41,029
not meaningfully

493
00:17:41,490 --> 00:17:43,730
valuable in comparison to a production specialist that

494
00:17:43,730 --> 00:17:45,990
needs to evaluate the entirety of the information

495
00:17:46,505 --> 00:17:48,744
and make critical decisions around how information is

496
00:17:48,744 --> 00:17:49,805
presented to the committee.

497
00:17:50,585 --> 00:17:52,445
Another example would be, like,

498
00:17:52,825 --> 00:17:54,985
AI holds promise in in the reviewing of

499
00:17:54,985 --> 00:17:55,884
adverse actions,

500
00:17:56,265 --> 00:17:57,545
that are associated to,

501
00:17:58,970 --> 00:18:00,809
a credentialing process. So when there is a

502
00:18:00,809 --> 00:18:02,990
discrimination or something that occurs during

503
00:18:03,289 --> 00:18:05,930
normal business work hours, how does AI generate

504
00:18:05,930 --> 00:18:08,329
summaries and highlight key points so that the

505
00:18:08,329 --> 00:18:10,490
committee can be more efficient and the decision

506
00:18:10,490 --> 00:18:10,990
makers

507
00:18:11,529 --> 00:18:13,849
are more effective in that decision making versus

508
00:18:13,849 --> 00:18:16,605
having to go through a lot of additional

509
00:18:16,605 --> 00:18:18,845
details around things that sometimes is not necessary

510
00:18:18,845 --> 00:18:20,605
to the through the context of the decision

511
00:18:20,605 --> 00:18:22,605
being made. So I think they're the 2

512
00:18:22,605 --> 00:18:24,365
sort of big areas that I'm really excited

513
00:18:24,365 --> 00:18:26,365
about and areas that I'm I I hope

514
00:18:26,365 --> 00:18:28,660
leaders embrace because I think that's gonna lead

515
00:18:28,660 --> 00:18:30,420
to to the best results for them over

516
00:18:30,420 --> 00:18:31,880
the next, couple of years.

517
00:18:32,259 --> 00:18:34,180
Wonderful. Well, it's a lot of great advice

518
00:18:34,180 --> 00:18:36,180
and I think a great place to leave

519
00:18:36,180 --> 00:18:38,660
things. So, Gianni, thank you so much for

520
00:18:38,660 --> 00:18:40,420
taking the time to sit down with us

521
00:18:40,420 --> 00:18:42,440
and for sharing your insights with our listeners.

522
00:18:42,525 --> 00:18:43,505
We truly appreciate

523
00:18:44,045 --> 00:18:45,664
it. Yes. Thank you, Jacob. Pleasure.

524
00:18:46,045 --> 00:18:48,705
I'd also like to thank Verifiable for sponsoring

525
00:18:48,845 --> 00:18:50,765
today's episode. You can tune in to more

526
00:18:50,765 --> 00:18:53,664
podcasts from Becker's Healthcare by visiting our podcast

527
00:18:53,724 --> 00:18:54,865
page at beckershospitalreview.com.