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Welcome everyone to the Becker's Healthcare podcast series.

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I'm Mariah Muhammad, writer and moderator with Becker's

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Healthcare. And I'm thrilled to have with me

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today doctor Arturo Loiza Bumia,

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cofounder of Massive Biomedical

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Director of Oncology Research and System Wide Chair

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of Medical Research at Capital Health. Doctor, welcome

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to the Becker's Healthcare podcast. We're very excited

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to have you join us today. To get

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us started, would you mind please introducing yourself

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and telling us a bit about your background?

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Yes. Absolutely. Thank you so much for the

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opportunity to be here at the podcast. So

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as you mentioned, yeah, our tour guides have

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been, I'm the cofoundature medical officer of MasseyBio,

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which is a company that uses AI

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and detailed health solutions to help patients who

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find clinical trials at scale and kind of

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relieving the physicians like myself very busy to,

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keep them off that task and focus on

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clinical practice. And also I'm the director of

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oncology research and shadow research system wise for

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Capital Health, which is a health system in

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New Jersey and Pennsylvania. So,

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happy to be here.

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I my my passion is, you know, as

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you can imagine, a medical oncology, but also

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the integration of technology

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and digital health

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and that major intersection around clinical trials and,

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as a way to optimize workflows to make

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things better for all of us. We're pretty

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busy in our practices and in health systems

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and now with

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every extra click,

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things are becoming much more, burnout prone. So

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we wanna make it value based solutions that

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we can get that to help myself and

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my own practice. I still practice in the

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clinic. So,

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so happy to,

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discuss with, all of you at Becker's opportunities

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to optimize those.

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Yeah. Yeah. Of course. Thank you again for

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giving us that introduction.

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So with everything that you're doing and, you

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know, a part of, what are some of

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the biggest issues you're following in health care

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this year?

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Yeah. So in 2024,

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one of those things that are coming up

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is the use of AI. Right? So everyone

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is talking about AI, but how do we

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really implement

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those solutions,

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at the point of care in front of

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the patient? What is more important? So,

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to me is,

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finding those use cases that are focusing on

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clinical decision making.

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How can we use that, to expand precision

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medicine, for example, biomarker testing for the right

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patient,

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at a right time so we don't have

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to be dealing with

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under genotype patients who may actually may miss

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the chance

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of a targeted drug that is going to

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make a difference in their lives.

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And also how,

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that can help to

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optimize

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pathways and patient journeys, particularly with cancer.

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So it's one of those things that I

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feel that technology can really make a difference,

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but make it equitable,

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because the digital divide is real and not

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every single

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cancer patient has the same tools. So how

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can we democratize this using this new, you

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know, language models and in other technologies

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such as ambiance AI or,

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just,

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integrated support within the electronic health record, but

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make it very patient centric.

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And and lastly, all the the issues that

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I'm following is the implications on all this

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on regulatory changes. So for example,

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the evolution of telemedicine. Right? So there's a

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lot of, effort happening right now trying to

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make telemedicine

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a must,

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but how we can convince all the stakeholders

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that is the right path and how to

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keep the quality

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of those visits and those assessments

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in the right way while with implementing that.

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And lastly for me is the part of

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the security. Right? So as we're using more

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systems,

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and, you know, with those ransom attacks and

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things are happening,

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we want to use those tools, but also

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prevent that,

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makes us completely dependent on technology.

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So, how can we create that value model

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that uses not only the technology, but also

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makes it safe,

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and less biased and and also makes our

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lives easier. So, those are challenges of course,

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but, with challenges comes opportunity. So that's what

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I'm more excited about this year.

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Yeah. Yeah. Absolutely. I definitely think AI is

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such a hot, you know, topic for this

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year, and there are so many different opinions

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on how to use it. I definitely agree

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with you there. Is there anything else that

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you are kinda excited about or anything that

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is making you nervous, whether it's anything you're

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seeing in the news, anything that you're currently

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doing at your organization?

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Well, so something that always makes me nervous

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is,

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are we going to be able to keep

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the pace of growth in healthcare without

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the fear of too much consolidation

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and that leading to maybe

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less access to patients. So I think having

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you know, those things in perspective is always

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gonna be essential. And I think AI and

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and other tools have a role

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to do to do in this, in with

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these problems.

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As we have been talking with different stakeholders,

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you know, in Becker's and beyond, one thing

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that is clear is that,

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we're all excited about using

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innovation to improve

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the quality of the patient care,

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but, also how,

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you know, there there's some disparities

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across different institutions of which solutions do they

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use.

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Interoperability

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is still a problem between electronic health systems,

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because, you know, even if I have, you

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know, one system today,

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the other health system across the hallway has

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a different one, and all of them requires

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a different login.

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So,

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as we are getting into more and more

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technologically driven systems,

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how are we gonna be able to really,

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make it completely interoperable. Right? And connect the

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dots, making it very centric to the patient

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in front of us, to myself if I

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am, you know, a patient of the health

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system.

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I I wanna have that

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clarity and and and make it really open,

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so information flows freely,

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safely, and also helps us to,

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prevent,

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you know, issues with utilization

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and and and, you know, health care costs

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are just going through the roof.

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So,

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it's kind of finding that balance

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and and how,

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the technology advancements,

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you know, they're outstripping the regulatory frameworks and

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ethical guidelines so we can ensure, you know,

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patient access and and safety and equity.

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Yeah. Thank you so much for giving us

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that insight. And, doctor, before I let you

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go, last thing I really wanted to ask

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you is, what would the most effective health

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care leaders need in order to be successful

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in the next 2 to 3 years, would

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you say?

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I mean, I think to be successful in

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next 2, 3 years,

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health care leaders, they need to be

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learning and be adapt to leveraging technology,

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data analytics and understanding the models that we

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have been using. They're

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up for

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for

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innovation,

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disruption, replacement,

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and particularly around operational efficiencies.

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So

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the the telehealth systems, they were great for

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billing and to operationalize

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certain processes that we do in practices.

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But, now we it's it's a time to

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foster,

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inter institutional,

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interdisciplinary

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collaborations, still agile in response to all these,

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you know, healthcare

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landscapes are changing constantly.

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And also, I think that to be successful

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you have to develop really strong communication skills,

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not only with the stakeholders internally,

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but, with the others around you and and

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even competing health systems, competing,

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you know, population,

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access,

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to really make it

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very effective. This is a time for collaboration,

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in the health system so we can really

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be effective. So to me, it's all a

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call of, you know, talk to each other,

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and meet up,

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be go beyond just the the brands and

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and really learn what's out because that's gonna

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help us to become successful as a country,

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as a in, you know, health system as

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a whole, which is always challenging, but it

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has a lot of opportunity. So,

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so that's what I I welcome folks to

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do so and and and and happy to

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be part of the conversation.

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Yeah. Thank you so much for sharing those

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final thoughts, doctor. This has definitely been an

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informative discussion. So, again, I wanna thank you

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so much for coming on Becker's Healthcare. I

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look forward to connecting with you again soon.

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Likewise. Thank you so much.

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Alrighty. And that was the end of the

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podcast. I think it went really, really well.

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How do you feel?

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Feel yeah. I feel great. Yeah. No. So

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as long as it makes sense what I

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said, I'd be just just talking. So Yeah.

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Yeah. Of course. So, well, I think it

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went really good.

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And, again, the podcast team will get in

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touch with you about 2 weeks out,

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and provide you that, link, so you can

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share it and listen to it for yourself.

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So, if you have any other questions, feel

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free to email me or the podcast team

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anytime.

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Excellent. Sounds good. Thank you so much. Well,

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I hope you have a great rest of

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your day.

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Same to you. Take care. Alright. Bye.