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Hello, everyone, and thank you for tuning in

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to the Becker's Healthcare Podcast. We are thrilled

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to be joined on-site here at Becker's Health

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IT Digital Health RCM Conference in Chicago.

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Today, I'm pleased to be joined with William

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Chan, CEO and cofounder, Iodine Software.

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We're gonna discuss how AI driven solutions are

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transforming health care in the hospital revenue cycle

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space. William, thank you for being here. Thank

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you, Brian. It's a pleasure to be here.

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So so can you tell us just to

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get going here how the use of AI

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in the hospital mid revenue cycle has transformed

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over the past 3 to 5 years? I

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think it's been a pretty pretty,

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wild time in that regard. It it has

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been very transformative. Yes. I'll I'll say there

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there are probably

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three things that kinda lead up to this.

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One, I'd say, is that

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documentation

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and the

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the need for accurate documentation has kind of

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risen to the level of being a critical

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set of data in health care, specifically RCM.

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2nd is

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the recognition by health systems and and the

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like that

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the old ways of doing things, I. E.

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Just throwing labor at it, just Mhmm. Doesn't

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work. Right? COVID pooped that out to a

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great deal.

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Hence, it's brought us to this point where

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alternate solutions have to take place, and that

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alternate solution is AI. And then within the

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past 3 to 5 years,

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it's been the transformational

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evolution

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of AI

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from something that is more just of about

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general automation,

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that robotic process automation, RPA and all that

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kind of stuff, NLP,

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to something that is more

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transformative,

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gen AI, machine learning.

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And that's where the real change has occurred.

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And that continues to evolve. Right? Starting out

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with gen AI, you're talking about things where

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you can now summarize. You can now generate

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information

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accurately.

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Right? Right? You can summarize documentation. You can

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you can generate documentation

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effectively.

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The next level is really

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predicting.

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Mhmm. And,

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this is where AI needs to get to

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evolve. But you're not just predicting

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things in general. You're predicting things within a

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clinical context.

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And AI has evolved to that point where

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I think, it's starting to understand the clinical

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context.

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And that, I think, is the big game

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changer for health care in general, certainly for

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RCM.

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Yeah. That's that's huge. That's a huge difference

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for AI to be understanding clinical context,

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has implications, of course, for RCM brought more

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broadly as well. Can you talk a little

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bit about just because this is such a

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transformative time and there's so much happening,

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What do you see where do you see

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this going in the future? A little bit

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more details there. But but importantly, how can

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hospitals and health systems kinda keep up here?

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Yeah. Because I do think there's probably a

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bit of a challenge in terms

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of where they're going to make investments, where

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they're paying attention, what's gonna yield the the

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greatest benefits to them. So can you share

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some more details on that? Yeah. I think

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the first part of it is that

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AI is gonna lead to better and better

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predictive

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results.

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Around RCM, I'm I'm not talking about the

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clinical aspect of a c

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of AI. That's a separate thing. Around

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RCM, the ability to predict,

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what will be an outcome from an administrative

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perspective.

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Should I admit the patient? Should I discharge

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the patient? Does this patient have the right

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level of care? Does this patient have the

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most accurate documentation?

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I think AI is going to be able

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to transform that

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and make the human practitioners of this so

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much more efficient. Mhmm. How then do hospitals

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keep up with all of this?

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I think

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it's it's akin to the public private partnership,

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I I would say. Right? You want hospitals

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or I think hospitals would desire to be

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in partnership

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with vendors, with software developers.

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Because,

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quite frankly,

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it's the vendors who are 1,

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innovating,

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and 2, they're trying to keep track and

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stay on top of the latest technology. That's

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what vendors do.

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Hospitals,

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they have the source of the data.

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And so that's how that's gonna feed into

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the large language models and machine language models.

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And they also have the clinical context that

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the vendors need to understand.

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So I think it's this partnership between the

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vendor

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and the hospital that will really allow

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hospitals to kinda keep up to date, if

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not stay at the forefront of this changing

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technology. Yeah. It's not realistic, I imagine, for

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for a hospital to be able to do

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what a vendor does in terms of keeping

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up with the advancement of technology. Yeah. I

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I think there'd be very few hospitals that

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would be able to do that. Right? I

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think first and foremost, I think, it's my

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belief that a hospital is there to take

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care of patients Correct. And to provide the

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best level of care you can. And technology

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is certainly a part of that. But I

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think that that partnership with a vendor will

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elevate

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the hospital's ability to

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deploy the most recent and most advanced technology

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to do that. Mhmm. I wanna get into

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sort of, clinical documentation integrity here. Can you

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talk a little bit about how

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you think organizations should be integrating CDI and

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What what what can you can you expand

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on that for our listeners? Sure. I I

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think the the interesting about clinical documentation and

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utilization management is that it's all really a

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part of the same continuum across

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rev cycle. And, you know, you can look

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at it from a mid rev cycle perspective,

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but it's really a part of the entire

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rev cycle. Documentation,

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the collection of information about the patient,

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is required to ensure

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proper utilization management.

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Has the patient got the right level of

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care? Should the patient be admitted, discharged? Where

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should the patient be placed? And then you've

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got to make sure that the documentation of

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patient while they are in the hospital is

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accurate, 1st and foremost, in order to have

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good patient care, better have good documentation quality.

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And of course, there's the reimbursement aspect of

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it. But I think all of this, from

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a hospital perspective, all of this ties to

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outcome.

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And there are 2 things here, right? 1

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is you want to be able to deliver

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the best care for the patient possible.

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And 2 is you want to be able

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to get paid

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accurately for the care that you delivered. And

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I think

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it's the combination

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of

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plus CDI

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that will

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collect all the information that is needed

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to ensure that the patient is getting the

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best care. It will also ensure that the

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hospital is then getting reimbursed

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at the right level for everything that they

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have done with the patient

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from admission all the way to discharge. And

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and, you know, it just strikes me that

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this sits in such a this this intersection

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between the the right care, the right care

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for patients, and also the the financial health

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of an organization.

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Curious if you could expand upon sort of

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what doing this, sort of what benefits it

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yields to to patients in the the organization,

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but also I think

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to staff. Right?

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Clinicians, I I imagine too if this is

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done appropriately, it can change their experience how

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how they, show up to work. Can you

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expand on that? Yeah. Definitely. That's that's very

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true. I think there there are few things

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that are,

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top of mind here. First off, it's the

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ability to collaborate.

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The information that is collected

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from a nurse during the process,

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the information that is collected or needed by

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the CDI specialist,

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it's all the same type of information. So

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a collaboration between those two departments

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is critical.

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The better they collaborate, the more transparent

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the information is going to be, the better

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the care, the better the reimbursement, so on

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and so forth. The second part of it

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is that all this information also needs to

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be put in front of the physician, whether

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it's a physician advisor managing the utilization management

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process or a physician managing the patient during

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the inpatient stay.

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Again, the collaborative aspect allows all this information

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to flow directly to the physician and back

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in a much smoother manner.

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And then the transparency

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of all of this information

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will allow things to be resolved a lot

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quicker. Any issues will be resolved. You don't

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want to have all this information in silos.

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And that's what's been happening. All of this

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information, you know, you got the silo. You

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got a CDI silo. You got a physician

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care silo. Right? All of these need to

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be combined and information has to

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flow

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smoothly between all of these entities.

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Yeah. And it it stands to reason that

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if you achieve that, that's gonna change the

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game for a lot of a lot of

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different Exactly. Right. Right. You you expect

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that once you are able to do that,

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better patient care because everyone's talking. Mhmm. Right?

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And better reimbursement because everyone's got the right

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information that ultimately flows into the bill that

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gets dropped. Excellent. Well, William, I think that's

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a great place for us to conclude. It's

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been a pleasure speaking with you today. Alright.

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Thank you, Brian. I also wanna thank our

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podcast sponsor, Iodine Software. You can tune into

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more podcasts from Becker's Healthcare by visiting our

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podcast page at beckershospitalreview.com/podcast.