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Hello, everyone. This is Erica Spice Mason with

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the Becker Health care podcast.

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Thank you so much for tuning in.

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I'm thrilled to have the chance to sit

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down today with Par, Sas,

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the senior Director of product management for Health

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edge.

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Today, we're going to dive into operational efficiency

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and provider data management for Health plans. Part,

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it's a pleasure to have you on the

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podcast today, just to give our listeners a

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little bit more context. I was wondering if

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you wanted to share a little bit more

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about yourself, your role, your organization,

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whatever feels top of mind for you.

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Thank you, everyone. It's a great pleasure to

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be here.

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And

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I've been bit heritage for,

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little over 9 years, and I've probably worked

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in the bigger space.

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During my time here at Health. I've actually

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worked on

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launching multiple products. And 1 of,

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my most exciting

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product launch is the development of our new

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provider data management platform,

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we've taken it from concept to reality.

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Thank you for having me on, ma'am. Actually

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looking forward to sharing more about our provided

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data management product and the,

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impact we aim to make in the health

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industry.

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No. Wonderful. Thanks, Par, and we're excited to

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have you here. Especially to shed some light

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on a topic that I think every member

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of the healthcare C suite is interested right

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now, and that's driving operational efficiency.

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We know this is a key driver in

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many payer organizations, growth and innovation strategies in

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20 24.

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So considering all of this, can you share

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with us the role of provider data management

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here?

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Absolutely.

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When it comes to the,

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provider data,

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operational efficiency, it does play, a very crucial

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role within health plans.

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The first thing to understand is that, the

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provider data

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in itself is is very white.

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And it becomes all the more important for

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organizations to actually manage. They have provider data

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across different

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platforms forms.

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Let's see that,

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accurate and up to date provider data is

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essential for streamlining all of the business operations.

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And when it comes to the health plans,

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they heavily rely on provider information so that

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they can reduce their claims processing

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and

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payment errors,

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which could actually lead to a much faster

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and accurate

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reimbursement.

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This not only save time, but it also

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improves

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relationships for the health plans,

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with their, provider community

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provided data management also helps in, enhancing

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experience.

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Members rely heavily on the provider directories that

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the health plan publish

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on their websites to

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locate and identify the in network providers

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for accessing care. And it is all the

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more important that these directories need to be

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accurate and current so that,

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the Hilton can essentially improve on their member

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satisfaction

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and reduce the burden on, the customer service

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team

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Provided data, management is also very important when

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it comes to

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decision making.

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You know, health plans rely on accurate

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provider

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information to make very important

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decisions

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such as, their network work, analysis,

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identifying potential caps in coverage

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and making sure that, they can make a

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little more informed

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decision, as they expand and optimize, the network

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web. And all of this

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essentially leads to,

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improved access in care for their members,

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and it can also create a much more,

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cooperative competitive,

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provider network,

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moreover now, you know, provider

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data is also becoming all the more vital

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for compliance and health plans

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must meet these regulatory needs

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related to provided information, which means that,

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they need to ensure that at any given

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point,

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their provider

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updates, make it into the system and are

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available for

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members so that they can avoid any,

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potential fines

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and

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entities.

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It's also all the word important to understand

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that the nature of the provider data, it's

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extremely dynamic. You have a lot of updates

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that keep coming in from the,

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credentialing systems or

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affiliation or

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locations.

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And, essentially, this needs a very robust data

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management process,

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real time updates, and issuing data verification processes

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are gonna be essential in order to make

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sure that the health plans can

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Curate and has,

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a more accurate and actionable provider data.

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Would see that,

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Operational

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efficiency enhancing it is definitely driving growth. It

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also foster a lot of innovation for the

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payer

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organization.

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And,

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essentially by prioritizing

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this, it ultimately leads to an improved patient

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outcome,

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a much better

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relationship between the providers and the health plans

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and

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overall and operational success.

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Par. I really appreciate how you outlined all

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of these areas that contribute to

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efficiency

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related to provider data management. So I heard

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compliance

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decision making, member experience and satisfaction,

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faster and accurate reimbursement.

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There's a lot of,

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impact that it sounds like provider data management

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has on the organization as a whole. So

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really appreciate how you explained all of those

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areas.

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And so I think that leads me to

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my next question,

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you know, considering the influence that provider data

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management has on all of these areas.

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What are you seeing as common pain points

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for health plans when it comes to data

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management here,

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And also, are there pain points that you're

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seeing commonly for Pd tools and platforms as

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well.

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Yeah. Absolutely. 1 of the, common pain pinpoint

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that,

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health plans face when it comes to the

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provided data management

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in itself is,

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the data

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accuracy. Now ensuring that, you know, the provider

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information is current and is

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collect,

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is a constant challenge,

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given the the frequent changes in provider networks

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or contract details, or credentialing statuses.

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Now inaccurate

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data can actually lead to issues on the

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downstream

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side of the business which is, like, you

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know, claims being appended, or being processed with

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errors,

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payment delays and compliance, which

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another significant

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pain point is around the the integration. Now

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health plans often has data coming in from

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multiple sources

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and

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integrating this data into a single

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cohesive system, the can actually be very complex.

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And lack of having an integration can actually

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result in,

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data silos, making it difficult,

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to get a comprehensive

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view of the provider data that is being

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floated around within the,

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ecosystem of the health plan.

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In fact, health plans struggle when it comes

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to the heterogeneous state of formats

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that are provided by hospitals and other entities.

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These updates can actually come in in various

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formats.

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Especially, it could be structured or it could

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be also on structured. And this creates a

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lot of burden on the health plan to

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actually consume combined and analyze the information effectively

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coming in from all these different sources.

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This in fact adds complexity to their

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administrative tasks in maintaining and updating the provider

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data, which I think already is considerably complex

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in us

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And many health plans rely on

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outdated systems. There there maybe sometimes homegrown growth

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platforms.

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Or also, you know, tend to manually process,

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all of these updates,

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which can end up being extremely time consuming,

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and Error prone,

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the accuracy and the completeness of the provider

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data in itself is,

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becomes a very complex

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operation.

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And it can actually lead to errors in

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patient care, billing,

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and overall poor decision making

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process in itself.

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Pd,

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with the Pd platform, we are trying to

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make sure that, you know, we emphasized in

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addressing all these key areas where of, the

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platform,

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focuses a lot and heavily on the data

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accuracy, seamless

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integration be it an upstream source that is

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sending data or it could be a put

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your downstream

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business system that means

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provider data real time, and also adds in

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a lot more efficiency,

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and automation so that the overall business process

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can become administration can be much more efficient

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and to also support the comprehensive needs.

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Yeah. Thanks so much again, Par with you

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for... For sharing all these insights. And it

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sounds like there's a lot of room for

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improvements

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in Pd platforms as you were just noting

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And considering all of the challenges that you

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outlined, especially that piece on... That piece about

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making sure that data is act...

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It sounds like a constant challenge. So

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is this what led Health edge to decide

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to develop a Pd tool? I I'd love

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to know a little bit more of the

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backstory and hear how the tool came to

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be and also what differentiates it from others?

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Absolutely.

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We decided to build the provider data management

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system because we recognized a critical need in

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the health care industry for a more accurate

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efficient and

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reliable

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provider data. In fact, there were several factors

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that drove into this,

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decision making for us

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we observed that, many of the health plans,

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including several of our customers were struggling with,

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the accuracy and the completeness.

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Of, step provider data.

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And,

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inaccurate or outdated provider information can actually lead

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to significant issues such as,

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you know, errors in claim processing, delays and

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payments,

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dissatisfaction within the members and the provider community

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itself, We saw an opportunity

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for us to address these pain points by

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creating a solution that interest data,

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accuracy and reliability.

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Secondly, the health care landscape in itself is

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evolving

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with increasing demands of, real time data and

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seamless

286
00:11:32,041 --> 00:11:33,790
integration across various systems,

287
00:11:34,744 --> 00:11:37,304
the health plans also received provided a, dates

288
00:11:37,304 --> 00:11:41,085
in various formats, structured unstructured. And it poses

289
00:11:41,144 --> 00:11:44,764
a challenge constantly and trying to consolidate and

290
00:11:44,825 --> 00:11:45,785
analyze this information,

291
00:11:46,679 --> 00:11:47,078
efficiently.

292
00:11:47,797 --> 00:11:50,854
Our solution. Now, the Pd platform is designed

293
00:11:51,073 --> 00:11:53,790
to handle these heterogeneous platforms. In fact, they

294
00:11:53,790 --> 00:11:56,678
use our generated Ai low code no code

295
00:11:56,678 --> 00:11:57,077
platform,

296
00:11:57,795 --> 00:11:58,114
which

297
00:11:58,673 --> 00:12:01,545
provides a much more streamlined and cohesive approach,

298
00:12:02,515 --> 00:12:04,583
for the provider data management itself.

299
00:12:05,776 --> 00:12:06,730
Also, given that,

300
00:12:07,446 --> 00:12:10,284
the provider data is very dynamic in nature

301
00:12:10,644 --> 00:12:12,742
including, you know, a lot of frequent changes

302
00:12:13,361 --> 00:12:15,119
across various upstream systems.

303
00:12:15,918 --> 00:12:16,717
This requires,

304
00:12:17,277 --> 00:12:19,295
a much more robust and an

305
00:12:19,608 --> 00:12:21,115
active management process.

306
00:12:21,828 --> 00:12:24,603
And, Health nuts have homegrown grown systems,

307
00:12:25,713 --> 00:12:28,745
and traditional methods active that are outdated, and,

308
00:12:29,381 --> 00:12:30,756
they cannot keep up

309
00:12:31,210 --> 00:12:32,324
with these changes,

310
00:12:32,721 --> 00:12:34,550
which essentially leads to a lot of,

311
00:12:35,504 --> 00:12:36,936
inefficiencies and errors.

312
00:12:37,906 --> 00:12:41,012
By developing a modern provider data, management platform,

313
00:12:41,172 --> 00:12:43,322
we aimed to create a system,

314
00:12:44,118 --> 00:12:45,791
capable of handling these,

315
00:12:46,283 --> 00:12:49,384
dynamic updates real time and ensuring that the

316
00:12:49,384 --> 00:12:52,190
health plans always have access to the boost

317
00:12:52,326 --> 00:12:53,996
current and accurate data.

318
00:12:54,567 --> 00:12:58,170
We also recognize recognized the importance of fig

319
00:12:58,227 --> 00:13:00,772
and compliance in the healthcare industry.

320
00:13:01,423 --> 00:13:03,491
And, health plans must adhere to,

321
00:13:04,128 --> 00:13:08,128
various state and federal regulations regarding provider information

322
00:13:08,359 --> 00:13:11,136
our solution is actually designed to support

323
00:13:12,247 --> 00:13:14,469
you know, the compliance need reducing the risks

324
00:13:14,469 --> 00:13:16,239
of any fines and penalties,

325
00:13:16,850 --> 00:13:19,643
our while making sure that, the health times

326
00:13:19,643 --> 00:13:21,968
actually meet all the regulatory

327
00:13:22,500 --> 00:13:23,952
requirements that are needed

328
00:13:25,298 --> 00:13:28,251
I would say health edge, overall objective has

329
00:13:28,251 --> 00:13:31,785
always been to enhance operational efficiency

330
00:13:32,163 --> 00:13:34,915
and improve health. Experience and foster

331
00:13:35,294 --> 00:13:37,695
innovation within the payer community.

332
00:13:38,415 --> 00:13:40,915
And, here we are, and I think Pd

333
00:13:41,455 --> 00:13:42,915
checks all of those criteria.

334
00:13:43,308 --> 00:13:44,102
It fits right in.

335
00:13:46,008 --> 00:13:47,779
Yeah. It's great to hear privacy,

336
00:13:48,153 --> 00:13:50,877
and I know we've talked so much about

337
00:13:51,488 --> 00:13:52,362
how some of...

338
00:13:53,014 --> 00:13:53,334
Payers,

339
00:13:54,133 --> 00:13:55,192
perhaps homegrown

340
00:13:55,650 --> 00:13:59,779
Pd systems or legacy Pd systems do present

341
00:14:00,220 --> 00:14:03,340
the risk of outdated or inaccurate provider data.

342
00:14:03,580 --> 00:14:04,080
So

343
00:14:04,540 --> 00:14:07,154
to end our conversation, I wanted to just

344
00:14:07,434 --> 00:14:09,688
go a little deeper on that. Can you

345
00:14:09,747 --> 00:14:13,017
share with our listeners what those risks are

346
00:14:13,017 --> 00:14:15,968
with having outdated or inaccurate provider data?

347
00:14:16,526 --> 00:14:17,026
And

348
00:14:17,339 --> 00:14:19,411
what would you recommend to to leaders who

349
00:14:19,411 --> 00:14:21,903
would really like to mitigate those risks effectively?

350
00:14:23,236 --> 00:14:24,671
Awesome. And good question.

351
00:14:25,243 --> 00:14:25,641
The

352
00:14:26,277 --> 00:14:27,652
potential risks associated

353
00:14:28,027 --> 00:14:28,266
with,

354
00:14:29,061 --> 00:14:32,734
out outdated or inaccurate provider data or very

355
00:14:32,734 --> 00:14:34,878
significant. In fact it of impacts,

356
00:14:35,831 --> 00:14:37,579
various aspects of,

357
00:14:38,135 --> 00:14:39,350
the health care

358
00:14:39,803 --> 00:14:40,254
operations

359
00:14:40,851 --> 00:14:41,486
you know, like,

360
00:14:42,520 --> 00:14:43,871
claims, processing errors.

361
00:14:44,666 --> 00:14:46,812
When you have inaccurate provider data,

362
00:14:47,527 --> 00:14:49,378
this could actually lead to

363
00:14:50,009 --> 00:14:52,330
incorrect claim payments or denials.

364
00:14:52,970 --> 00:14:56,409
And this can actually cause financial losses for

365
00:14:56,409 --> 00:14:58,089
help plans and a lot of,

366
00:14:59,140 --> 00:15:01,846
frustrations within the provider community.

367
00:15:02,881 --> 00:15:06,701
It also adds the administrative, burden within the

368
00:15:06,701 --> 00:15:08,626
provider community by this you know, then they

369
00:15:08,626 --> 00:15:11,255
need to do the necessary outreach in order

370
00:15:11,255 --> 00:15:14,601
to resolve, those issues. The payments can also

371
00:15:14,601 --> 00:15:17,904
be delayed when you have outdated information, sometimes,

372
00:15:18,838 --> 00:15:19,656
you know, the

373
00:15:20,032 --> 00:15:22,502
your your payments are all gonna get delayed.

374
00:15:23,059 --> 00:15:23,537
And

375
00:15:24,015 --> 00:15:26,460
you know, this affects their cash flow

376
00:15:27,378 --> 00:15:29,316
and it can also stream the

377
00:15:29,775 --> 00:15:32,112
relationship and the trust that the providers

378
00:15:32,571 --> 00:15:33,130
will have,

379
00:15:33,864 --> 00:15:36,258
you know, between them and the health plan.

380
00:15:37,615 --> 00:15:41,227
It's also now important that health plans must

381
00:15:41,285 --> 00:15:41,659
comply

382
00:15:42,096 --> 00:15:42,993
with various,

383
00:15:43,685 --> 00:15:44,956
regulatory requirements,

384
00:15:45,988 --> 00:15:47,100
around provider data,

385
00:15:48,450 --> 00:15:51,284
inaccurate provider data and publishing it on the

386
00:15:51,404 --> 00:15:53,945
provider directory can lead to non compliance,

387
00:15:54,819 --> 00:15:55,692
resulting in,

388
00:15:56,487 --> 00:15:56,987
penalties,

389
00:15:57,440 --> 00:16:01,744
fines and overall, the repetition damaged force the

390
00:16:01,744 --> 00:16:04,152
health plan itself. And members,

391
00:16:04,765 --> 00:16:08,604
rely heavily on the provider directory to find

392
00:16:08,660 --> 00:16:11,614
an a network providers to access care.

393
00:16:12,566 --> 00:16:16,081
And inaccurate and outdated information can actually lead

394
00:16:17,009 --> 00:16:18,620
to difficulties and challenges

395
00:16:18,929 --> 00:16:21,235
for finding or locating a provider.

396
00:16:21,712 --> 00:16:23,699
And that can also lead to, you know,

397
00:16:23,858 --> 00:16:24,756
your member

398
00:16:25,131 --> 00:16:26,346
dissatisfaction rates

399
00:16:27,054 --> 00:16:28,881
see that also, you know,

400
00:16:29,676 --> 00:16:32,298
when it comes to accurate provider data, it's

401
00:16:32,298 --> 00:16:33,887
gonna be extremely crucial,

402
00:16:34,940 --> 00:16:37,899
for patients to receive appropriate care. And if

403
00:16:37,899 --> 00:16:39,680
you have an outdated

404
00:16:40,300 --> 00:16:40,940
information out there,

405
00:16:41,915 --> 00:16:44,654
you know, sometimes, this could actually lead to

406
00:16:44,795 --> 00:16:45,295
accidental

407
00:16:45,995 --> 00:16:47,535
of patients to

408
00:16:47,915 --> 00:16:49,215
providers who probably

409
00:16:49,769 --> 00:16:50,667
or either,

410
00:16:51,043 --> 00:16:53,932
you know, no longer working in a particular

411
00:16:54,148 --> 00:16:55,126
location or

412
00:16:55,741 --> 00:16:58,264
are no longer part of your network or

413
00:16:58,384 --> 00:17:00,798
Sometimes if they have an outdated

414
00:17:01,414 --> 00:17:04,443
credentialing, that could also post a challenge. And

415
00:17:04,443 --> 00:17:06,936
all of this, I would say leads to

416
00:17:07,249 --> 00:17:08,127
a lot of,

417
00:17:08,686 --> 00:17:09,186
operational

418
00:17:09,804 --> 00:17:10,304
inefficiencies.

419
00:17:10,921 --> 00:17:11,320
And

420
00:17:11,799 --> 00:17:14,035
usually, health plans end up having a lot

421
00:17:14,035 --> 00:17:14,434
of,

422
00:17:15,152 --> 00:17:15,950
administrative staff,

423
00:17:17,083 --> 00:17:19,876
and resources to correct correct some of these

424
00:17:19,876 --> 00:17:22,212
errors and resolve of these conflicts.

425
00:17:22,670 --> 00:17:25,419
And this is overall, it bumps up the

426
00:17:25,634 --> 00:17:26,610
administrative costs

427
00:17:26,984 --> 00:17:28,652
for, any health plans.

428
00:17:29,366 --> 00:17:32,226
And, I, say that, you know, in order

429
00:17:32,226 --> 00:17:33,043
to mitigate

430
00:17:33,417 --> 00:17:34,393
these just

431
00:17:35,257 --> 00:17:37,399
it's gonna be important that and, you know,

432
00:17:37,558 --> 00:17:40,438
of the health plans considered a few areas

433
00:17:40,493 --> 00:17:41,445
when it comes to,

434
00:17:42,095 --> 00:17:42,809
forward thinking.

435
00:17:43,444 --> 00:17:45,904
You need to have a, a provided data

436
00:17:45,904 --> 00:17:48,150
platform that would essentially help

437
00:17:48,840 --> 00:17:49,792
any health plan,

438
00:17:50,761 --> 00:17:54,500
in implementing a process that word offer regular

439
00:17:54,500 --> 00:17:56,727
and systematic provider updates,

440
00:17:57,695 --> 00:18:00,474
that would ensure that, the provider data remains

441
00:18:00,474 --> 00:18:00,974
accurate

442
00:18:01,427 --> 00:18:02,221
and current.

443
00:18:03,015 --> 00:18:06,294
And these need to have automated feeds

444
00:18:07,085 --> 00:18:09,804
almost you know, real me real time if

445
00:18:09,804 --> 00:18:11,724
possible so that you know and the hill

446
00:18:11,724 --> 00:18:12,704
pads feel confident

447
00:18:13,244 --> 00:18:15,619
that at any given point in time, it's

448
00:18:15,739 --> 00:18:18,772
the most recent data that is made available

449
00:18:18,772 --> 00:18:19,810
for consumption.

450
00:18:20,927 --> 00:18:24,040
As we in bring in provider data, it

451
00:18:24,040 --> 00:18:28,203
is also important that health plans have

452
00:18:28,813 --> 00:18:32,397
a verification process of the provider data, from

453
00:18:32,397 --> 00:18:34,865
multiple sources just so that, you know, you

454
00:18:34,865 --> 00:18:38,446
don't heavily trust on 1 single source when

455
00:18:38,446 --> 00:18:39,981
it comes to maintaining

456
00:18:40,436 --> 00:18:41,493
accuracy and reliability

457
00:18:42,043 --> 00:18:43,554
for your provided information.

458
00:18:44,349 --> 00:18:45,621
You're better off, you know, having,

459
00:18:46,495 --> 00:18:48,086
an added attest station source or,

460
00:18:48,722 --> 00:18:51,201
could be multiple source is that provide your

461
00:18:51,201 --> 00:18:52,869
provider data, and to talk at all, you

462
00:18:52,869 --> 00:18:55,094
have your roster update So it's gonna be

463
00:18:55,094 --> 00:18:56,786
important to have a platform

464
00:18:57,240 --> 00:18:59,822
says that would... That can actually curate data

465
00:18:59,879 --> 00:19:01,708
from all these different sources,

466
00:19:02,185 --> 00:19:03,060
and essentially,

467
00:19:03,855 --> 00:19:06,638
you know, create a golden record of provider

468
00:19:06,638 --> 00:19:07,138
data

469
00:19:07,845 --> 00:19:10,410
that can be consumed for a downstream business

470
00:19:10,465 --> 00:19:10,783
process.

471
00:19:11,657 --> 00:19:14,753
Automation is gonna be extremely key. And the

472
00:19:14,753 --> 00:19:16,421
real time updates is gonna,

473
00:19:16,913 --> 00:19:17,413
significantly

474
00:19:17,869 --> 00:19:19,085
reduce the risk of

475
00:19:19,620 --> 00:19:19,780
inaccuracies.

476
00:19:20,655 --> 00:19:22,646
So it's important that, there is,

477
00:19:23,681 --> 00:19:24,875
automation that is in place,

478
00:19:25,448 --> 00:19:27,921
so that, you can reduce the

479
00:19:28,400 --> 00:19:29,697
manual errors

480
00:19:30,314 --> 00:19:33,185
that could any given point in time when

481
00:19:33,185 --> 00:19:34,780
it comes to provider data.

482
00:19:35,752 --> 00:19:37,903
And also, they're given that,

483
00:19:38,461 --> 00:19:41,192
the provided data can come in in different

484
00:19:41,249 --> 00:19:42,285
forms and shapes,

485
00:19:43,099 --> 00:19:45,356
you know, trying to standardize that

486
00:19:45,735 --> 00:19:47,014
across the board is

487
00:19:47,653 --> 00:19:49,810
I would say, is a challenge that cannot

488
00:19:49,810 --> 00:19:52,478
be resolved, for that, the only way to

489
00:19:52,536 --> 00:19:55,643
overcome that is, by using a platform that

490
00:19:55,643 --> 00:19:57,794
can actually adapt to various,

491
00:19:58,511 --> 00:19:59,945
to know, to all of the data that

492
00:19:59,945 --> 00:20:02,823
is coming in various forms and shapes so

493
00:20:02,823 --> 00:20:04,731
that it can make it into the system

494
00:20:04,731 --> 00:20:06,424
in a timely fashion for

495
00:20:07,117 --> 00:20:09,502
consumption. And overall, I would say that

496
00:20:10,630 --> 00:20:11,503
educating staff

497
00:20:11,900 --> 00:20:15,790
on how important it is to maintain provider

498
00:20:15,790 --> 00:20:18,807
data is going to be extremely crucial so

499
00:20:18,807 --> 00:20:21,526
that if health plan has the opportunity to

500
00:20:21,526 --> 00:20:22,981
set high standards

501
00:20:23,833 --> 00:20:24,549
for the business.

502
00:20:26,060 --> 00:20:26,560
Wonderful.

503
00:20:26,936 --> 00:20:27,436
Par

504
00:20:28,625 --> 00:20:31,184
appreciate all of the insights today. I appreciate...

505
00:20:31,664 --> 00:20:33,285
Especially appreciate what you said about

506
00:20:33,664 --> 00:20:35,184
striving for that. I think he called it

507
00:20:35,184 --> 00:20:37,919
a golden record of provider data, and

508
00:20:38,717 --> 00:20:40,712
all the possibilities we're seeing to achieve that

509
00:20:40,712 --> 00:20:43,106
with technology and automation and

510
00:20:43,664 --> 00:20:45,181
platforms that you described. So...

511
00:20:45,914 --> 00:20:48,307
Thank you again for outlining really how provider

512
00:20:48,307 --> 00:20:50,061
data management is at the intersection of so

513
00:20:50,061 --> 00:20:51,976
many issues that are top of mind for

514
00:20:51,976 --> 00:20:54,129
payer leaders right now. Really enjoyed having you

515
00:20:54,129 --> 00:20:54,847
on the podcast.

516
00:20:55,819 --> 00:20:57,887
You so much. I appreciate the opportunity as

517
00:20:57,887 --> 00:20:58,523
well. Thank you.

518
00:20:59,239 --> 00:21:01,864
Yeah, thank you. And we'd also like to

519
00:21:01,864 --> 00:21:04,910
thank Health Ed. For sponsoring today's podcast episode.

520
00:21:05,548 --> 00:21:07,304
So listeners, if you'd like to tune into

521
00:21:07,304 --> 00:21:09,699
more podcast from Becker health care, please be

522
00:21:09,699 --> 00:21:12,345
sure to visit our podcast page, at becker

523
00:21:12,345 --> 00:21:13,776
hospital review dot com.