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May 25: Today on the Conference channel, it’s an Interview in Action live from HIMSS 2023 with Karla Christopher, VP - Interoperability, Data Migration, & Custom Development at Health Data Movers. What are the primary methods used to push data back into EMRs today? Are APIs the preferred approach, or are there other methods being employed to transmit data, especially when it comes to transmitting results that can't be transmitted via APIs? Are we making significant progress in getting data back into the EHRs? How does Health Data Movers go beyond just data migration and contribute to the improvement of clinical and operational workflows?

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Welcome to this week, health my name is Bill Russell. I'm a former CIO for a 16 hospital system and creator of this week Health. A set of channels dedicated to keeping health IT staff current and engaged. Today we have an interview in action from the 2023 Spring conferences, vibe in Nashville and hymns in Chicago.

Special thanks to our cDW, Rubrik, Sectra and Trellix for choosing to invest in our mission to develop the next generation of health leaders.

You can check them out on our website this week,, now onto this interview.

 Here we are from Hymns 2023 in Chicago, and I'm here with Carla Christopher with Health Data Movers. Mm-hmm. . So, so much is so self-explanatory outta that title, but I don't wanna start there. I wanna where, where I wanna start is the, the hymns conference. What kind of, what kind of things are you hearing have conversations with people as they, come around or, or whatnot?

Yeah. I think people are hungry for innovation, so they're here looking for. Something that's going to help solve the problems everybody has the patient engagement, provider burnout, nursing shortages, things like that. Obviously, AI is on the top of everybody's mind. There's, 100 booths out there that are, AI related.

It used to be when people were talking AI, it used to be, they were just like throwing it in to say, Oh, yeah, we do AI. Right when it was really analytics. And now people are showing me it's like, yeah, we take this. this image and then we turn it into a sick figure and then we determine whether it's a fall or I'm like, I'm like, how are you doing that?

It's artificial intelligence. I'm like, well, we're seeing more and more of it. The data side, there's the, the HIMSS conferences is one of those places that we come. We hear what HHS is up to. We hear what the next thing is. What is the next thing that people are talking about on the data side?

Is it interoperability? Is it 21st century cures? Is it, or is it just, Getting more out of that asset than they have.

I think it's all of those things. Really we talked about AI and people creating these really cool tools that do these amazing things. But those, tools aren't any of any use if they're not where the clinicians need them, when they need them, which is in the EMR.

So interoperability is going to continue to be, on the top of everybody's mind, connecting that data.

So getting that data to the, point of care.

That's right. Yeah, pulling it out of the EMR and then send it back to the clinician in real time.

But getting that data back in the EHR has always been like a bridge too far.

You think? Have we crossed that bridge? Are we actually getting it back in?

Oh yeah, we're definitely, we're past that. We're getting it back in in a lot of different ways. I've been in this business 25 plus years, a long time in healthcare technology. We started out with this. Best of Breed kind of industry environment.

And we saw this mass migration to these large enterprise systems. And now we are seeing kind of a migration back to Best of Breed. And those Best of Breed solutions need to communicate with that foundation EMR. So, the EMRs, it's been a slow road. But they have opened their doors, so to speak.

And we've been able to push data back in.

What's the best way that we are pushing the data back in today? Is it through APIs or is it?

Ideally, ideally, though that's not always possible. There's not APIs for everything just yet. For example orders and results. You can transmit orders over APIs.

Results can't always go that way. So you probably have to send a HL7 result message over for PDF.

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So health data movers. Yeah. Is it more than just moving data around?

A lot more. Yeah. Yeah. Might need to change the name. Anyway, I said that too, but we're here. We're HDM. You know who we're going to be.

Yeah, we do a lot of data migration. It's how we started, but we really marry.

So like data migrations like M and a activity. Okay.

Yep. A lot of M and a. That's not going anywhere.

So people, people will essentially call you and say, Hey, move the data from point A to point B. Yep. , normalize the data.

We can, yep, or we work with other companies that do. We're really flexible in that. We work with whatever the customer is most interested, the direction they're interested in going.

Alright, so I cut you off a little bit there, because I just wanted more clarity around that.

Yeah, it's a lot of data migration.

But I think what, where we differentiate ourselves is we marry clinical and operational workflow expertise. That VHR knowledge, we have an army of consultants out in the field implementing, optimizing, upgrading Sterner, Epic, Wallscripts, McKesson, but we marry that with deep technological expertise. So, I have a team of software developers, a team of integrators, and a team of data migrators.

So, we're able to combine those two to create solutions that really work for the end users.

Yeah, that's amazing. So, the advent of AI, one of the things I've heard from people is, Hey, we need cleaner data to educate these AI models. Is that an area where we're seeing a lot of activity?

Yes, but it's not just clean data, it's access to all data, right? So there's a lot of data that's missing in certain communities. So there's a big push in the AI community around sharing pediatric data to solve some of those problems, but that's such a limited data set. Pediatrics, we need to have access to all data to really Get over those social

determinants of health challenges that we see

determinants of challenges that you're seeing in the, in the various, types of health systems? Like an IDM versus an academic medical center versus a critical access facility, or?

No, I think, everybody has the same goals. Everybody wants to take care of their patients. Everybody has somebody to report to for, as far as quality.

how is the data? And we talked about, we started talking about this. How's the data being used around the patient experience about really moving that forward, making it more convenient, more access and those kinds of things?

This is a fun time in healthcare. We're seeing data being made available to patients so they can take care of themselves.

better. They can be better advocates for themselves. So whether that's through tools that they can access or the way the clinicians feed data to them, that makes more sense to them. But yeah, this is a, this is a fun time where patients are getting more engaged.

Fantastic. Carla, I want to thank you for your time.

Thank you. This was fun, Bill.

Another great interview. I wanna thank everybody who spent time with us at the conference. I love hearing from people on the front lines and it's phenomenal that they've taken the time to share their wisdom and experience with the community. It is greatly appreciated.

We wanna thank our partners, CDW, Rubrik, Sectra and Trellix, who invest in our mission to develop the next generation of health leaders. Thanks for listening. That's all for now.

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