The Interoperability rule has come down, now how do we build it. Matt Michela CEO of Life Image and Kim Chaundy of Geisinger talk about how they partnered to make images interoperable across PA KeyHIE partners. Hope you enjoy.
Medical Imaging Interoperability Image Geisinger with Matt Michela & Kim Chaundry
Episode 197: Transcript – March 12, 2020
This transcription is provided by artificial intelligence. We believe in technology but understand that even the smartest robots can sometimes get speech recognition wrong.
[00:00:00] Bill Russell: Welcome to This Week in Health events – where we thinking with interviews from the floor and the floor just happens to be our home offices, but we’re going to keep doing the shows. Special, thanks to our channel sponsors. Starbridge Advisors, Health Lyrics, Galen Healthcare, vmware and Pro Talent Advisors for choosing to invest in our show.
My name is Bill Russell, healthcare, CIO, coach, and creator of this week in health IT. A set of podcasts, videos, and collaboration events dedicated to developing the next generation of health [00:00:30] leaders. You know, one of the things I really miss about the show, as I’ve said before, is doing that booth walk where I come across solutions that.
I was not familiar with, or I just wasn’t introduced to it before. And I’m always looking for ones that are backstopped by respectable health systems that are using the solution. And, you know, as, as I said before, these, these. These booth walk interviews that I’m doing are really off the cuff. So I’m just exploring solutions, just like I’m walking the floor and so today I’m excited to be joined [00:01:00] by, Matthew, Matthew, how do you say your last name? Michela?
Matt Michela: McCalla. Perfect. Thanks Bill.
Bill Russell: Perfect. Life image CEO and Geisinger Senior Director, Kim Chaundry from from Danville, Pennsylvania, Kim, welcome to the show.
Kim Chaundy: Thanks for having me.
Bill Russell: So we’re gonna just so you know how this works when you’re talking, this is a Zoom video conference.
When you’re talking, you’ll be the one on the screen when you’re not talking. It will be, whoever is talking is going to be on the screen so you can do whatever you want when you’re not talking. No, [00:01:30] one’s going to be able to see. It’s just a little housekeeping we probably should have done before we got on the show.
So here’s how we’re going to do this. This is literally booth visit. I’m going to give you open ended questions early start, and then we’ll go from there. This is, I’m a recovering CIO, as I say, you know, 16 hospital system, I’m coming up to your booth. Matthew, I’m gonna start with you. Give us an idea of, of what I would have seen if I had come to your booth at the show.
Matt Michela: So, if you’d had shown up at, HIMS with our boots, he would’ve seen an absolutely fabulous little, two story [00:02:00] booth for our first ever second story, and a whole series of things around interoperability about data access and the breadth of our network and the partnerships that we have in place. And then a showcase right.
Of a specific solution that we’re very excited about that we’ve put together in conjunction with Geisinger. and with, Ryan and Thae in, Pennsylvania, for light damage itself, bill, I think, what, you would, I would have explained you and you would have seen is that a, you know, we’re a mature [00:02:30] healthcare it company that’s focused on, interoperability and the way that we would discuss it, right with the technical jargon jargon is we’re an enterprise wide evidence-based network that connects.
Thousands of hospitals and facilities about 10,000 in the U S another 60,000 internationally, that then accesses medical information of a wide variety of types. Imaging is our core kind of default use case because accessing medical imaging is incredibly complicated and [00:03:00] hard and has, because it’s so hard as predominantly been left out of.
Most of the large scale standardization initiatives or initiatives in order to kind of make access to data. And that’s really been our core expertise and data, but we actually move, access, move, govern, medical information of any categories and probably about 30% of the data that flows across our broad network, which touches about.
12 to 15 million patients a month of medical information and that’s between facilities and inside [00:03:30] the facility, itself. although we do help support and manage that for thousands of use cases, right? Whether it’s a patient who needs information sent to a trauma one or a level one trauma center for stroke, or whether it’s a cancer patient going to a specialist that wants five years of medical history, you know, et cetera, et cetera, we have the plumbing, right.
That connects. Hundreds and hundreds of different healthcare, it companies together. So that that medical information can move so that doctors can treat patients and [00:04:00] make diagnosis and do treatment plans. Comedies can develop drugs, you know, medical device companies can get approval from the FDA and devices, companies that are involved in.
Payment or a policies and need medical information, determine medical necessity, do that. So we sit as this network, very large network in place. That’s kind of who we are before we talk a little bit about kind of our, you know, our, our new innovations with Geisinger.
Bill Russell: Wow so yeah, so I ended up with a lot of questions as a result of that.
So. [00:04:30] I hear re you know, repository for, research. I hear, almost an HIE of sorts. I hear a, a network for evidence sharing. I hear, I almost heard. the, you know, the ability to move records from one health system to another, in the case of, you know, care management and continuum of care. Am I hearing all those things in this solution?
Or am I overreaching with what I’ve heard?
Matt Michela: You’re here hearing all of those things, right? So, you know, we [00:05:00] were originally born as a company to solve the problem of moving a medical image. A 150 feet across Treemont street in Boston, Massachusetts, between between two departments at mass general, where their standard workflow was six days to get the image across.
Literally across the street. so a patient couldn’t have a followup appointment for cancer treatment, for a week because the image wasn’t there. So we solved that problem. And because of that, we started an imaging [00:05:30] and then created solutions to all of these non inter-operable environments and systems.
In imaging and then grew to this really broad network of, you know, today we sit in 19 of the top 20 institutions in the country and we’ve got about 90% market presence in all academic medical centers and tertiary care facilities. And we expanded beyond the imaging cases into other data types because.
We invest in interoperability and public standards, no proprietary, anything in our platform, we don’t do proprietary codes. We don’t do [00:06:00] proprietary standards. We want everything to be accessible and that’s our value and has been for a decade or more. And so as a corporate value. And so once you think about right the plumbing, right? The network being agnostic to data type, then there’s no reason not to provision it to all these other non inter-operable. Right. So in Pennsylvania with Geisinger and, Ryan, right. We have a solution which we’ll talk about that, helps image and yeah, [00:06:30] Abel, that HIE, that regionally SAE that then it visions for roughly 6 million patients in that geography and 350 institutions, the ability to.
Access imaging in conjunction to the other information and the HIE I’m using really. New Martin fire technology. whereas in other cases, we’re enabling two of the, three of the largest telehealth companies in the country to access medical information on a patients. So when they get on the phone with you, they have [00:07:00] access to information.
So they can treat you now probably not for a sore throat. Right. But for patients that need lots of imaging, you know, or so yes, we play in all those kind of areas because. You know, I guess the nontechnical corollary, if we weren’t in healthcare, if we were a telecom company, as an example, our competitors would be Verizon, right?
Where they’re going to connect into any device you have, whether it’s an iPad or it’s an Android, or it’s a [00:07:30] television, or it’s a router, they don’t care what the device is. Their job is just to get data in and out of it. I’m connecting into healthcare, data silos. I don’t care. what the device is, whether it’s a monitor or it’s a database, or it’s a cloud, or it’s a device, or it’s a camera and dermatology, and then get that wherever it needs to be without screwing it up without screwing up the diagnostic quality.
And once you do that, then you can solve lots of other kind of use cases for folks. And, you know, and we grew up in the world of actual care [00:08:00] delivery. So most of our activities, he is directly affecting patients immediately, but we support a lot of research. You know, all these AI companies and imaging that are building algorithms need data, right.
To test their models and we can help them do that, you know, insecure and, you know, Confidential ways. And, so those are the kinds of things that we do. And I’m sorry. Thanks bill. For letting me go on so long.
Bill Russell: Oh no, no, no, absolutely. So, so that’s where we’re gonna, we’re gonna, we’re going to go to that solution.
Because this is what I generally would do is, you know, go to something that could really [00:08:30] get my arms around that and go from there. It sounds like, yes, you are the network behind it. You are the Verizon of connecting up all these different things, but let’s talk about imaging. I think people don’t recognize that, you know, generally speaking in the HIE, you don’t have the imaging data.
Necessarily there. They think it’s in the EHR, but a lot of the imaging data resides outside the EHR and it’s just referenced from the EHR. And the same thing is true within the HIE. So you guys really fill that gap [00:09:00] again. Am I hearing this right? You’re filling that gap of within Pennsylvania within that region, that Geisinger is playing in you.
not only you will come alongside that HIE and provide access to. The images that are available across that network.
Matt Michela: I, that that’s right. So, EHR generally can’t handle imaging. They never have an, a big negative. It’s just hard. And so if you are working in an Epic EHR, or you’re working in a Cerner [00:09:30] EHR and you have imaging that’s available and you can click through and see it, other than one or two hospitals in the country, that’s us.
So we’re the Intel behind, so to speak and where facilities getting that connectivity to access that imaging out of packs, and then sharing that between institutions, providers, individuals, patients, et cetera, in that regard. Right. And so for his, yeah, this one in particular for KJ was one of the largest.
You know, in the country, they’ve already established right. 350, [00:10:00] roughly hospitals in Pennsylvania. Geyser has led that effort for a long time to get them connected. But since imaging so hard, it’s not a part of it. So if you want to receive in your hospital one, and you want to get your medical information.
On a patient that’s showing up in your emergency room from hospital to, you can go to the HIE and collect some information, but it’s going to be fairly rudimentary information that you can extract from the EHR. Then you had to come to somebody like life image and say, no, I have a whole different technology platform.
Please go get that for me. From the other [00:10:30] institution, it might not be in the same time. There might be a delay. Maybe it’s an institution that’s not on our network. And that requires an extra consent. There’s all these mystical things. So we’ve done here in Pennsylvania is we’ve said, no, let’s unify all this.
Let’s make it simpler, right. For the providers. And then this whole community to have the integrated data integrated, not just, Hey, a CT exam existed. But here’s the actual exam and here’s the radiology reports associated with it. So you know what the diagnosis and the treatment was, or at least should [00:11:00] be.
So you can actually have true history. So it’s a very unique, this doesn’t exist. It’s never been done anywhere in America before anyone in the world before we used smart on fire to do it so that it’s completely standards based and really fast. And can. Be used in other, kind of settings and infrastructures but it really was quite honest, literally starting from a place of guys. And you’re really saying we have to solve this problem and not just for us, because Geisinger has been a long standing customer of light image and we helped them with [00:11:30] that. but how do we solve it for this really broad network on a big community population basis to affect actively drive cost and quality and care.
Right? And so I needed somebody with the market presence of leadership. And a true commitment to frankly, technology innovation, like somebody like Geisinger to say, how do we make these parties work together to make this work?
Bill Russell: So, so Kim, talk to him to talk to us back, the key HIE and the work that, Geisinger did to really put that in place and the value that brings to the community and then we’ll go into the imaging a [00:12:00] little bit.
Kim Chaundy: Okay. Sure. So, Geisinger had taken a stance all the way back in 2005, that they really wanted to make sure wherever our patients were going in the community, that they would have an opportunity to, get access to their data or know where they are in the, in the community.
We live in a rural area. So, hospitals are probably every other town or maybe five other towns over. So we really wanted to make sure we had an opportunity to take care [00:12:30] of our customers or our patients in our communities and in our surrounding communities. like Matt had mentioned we’ve grown.
very large. we’re servicing about 6.8 million patients, in 56 counties in Pennsylvania. And we’re also now in New Jersey, servicing about seven counties in New Jersey. we found. Pretty quickly that as we grew, expectations group, we needed to get quicker, faster, more information, you know, to automate the [00:13:00] processes, to be more reactive instead of, I’m sorry to be proactive instead of reactive.
So we’re pushing a lot of clinical data directly to the providers so that they don’t even have to go looking for it. And. Our opportunity here with life image in Orion was it’s a game changer. just think about it. You, you know, you as a patient, are seen at a local facility and you have a cat scan done and it’s a trauma, and now you’ve gotta be sent to a, you know, a tertiary care center.
now you’re [00:13:30] going there and your images are there before you even get there. you don’t have to radiate the patient again. the patient experiences a lot smoother, smoother transitions of care and you know, the savings. we’re, we’re all trying very hard to reduce costs and in healthcare, and this is definitely a game changer for us, and it’s a great opportunity and the physicians love it.
And we made sure when we were working with life image and Orion, that we kept it easy for them. so we really worked a [00:14:00] lot on, the use and the usability of the system.
Bill Russell: So are you talking about with thi are you talking about, all Geisinger locations? Are you talking about them actually going from maybe a customer location to, somebody that’s in your clinically integrated network, but not necessarily in your EHR platform?
Kim Chaundy: That’s correct.
Bill Russell: Cause you know, I mean, for those who are sitting there going, Oh, this is easy. It’s not that easy. you know, we had, you know, radiology [00:14:30] and cardiology imaging across our 16 hospitals where I was, we had, I think, when we started, we had six, radiology imaging systems.
With their different repositories. And we literally had doctors going from one hospital to another and not able to get their images, which was problematic. But my most recent story is my father-in-law, 80, 87 year old. Father-in-law goes to one hospital with, with flu and pneumonia. And essentially he gets, he gets a chest [00:15:00] X Ray, and they do all that.
He goes to the next hospital. And they they’re like, you know, it’ll be too long for us to wait until we get that image. So we’re just going to do the imaging again. And that’s that kind of stuff we, that this solution really takes care of or addresses, not from a customer experience standpoint, from a cost standpoint, but also from a speed of care standpoint, from where you said, and, and that’s how you guys designed it, I assume.
Kim Chaundy: Absolutely. Absolutely. [00:15:30] It’s, you know, we hear a lot of success stories. we had a patient that had to be sent down to chop. you know, so knowing that, you know, it was a, a kid, you know, probably worried parents, really worried. we actually sent all of their images over to them before the patient, even right.
Arrived from the helicopter. and it, it just allowed the physician receiving the patient to get a better understanding. It allowed the parents to relax and know that [00:16:00] the transitions of care are are happening and that they’re going to be informed and know exactly what transpired at this hospital.
Bill Russell: So I just, you know, indulge me here.
So Geisinger is on, you guys are on Epic or Cerner?
Kim Chaundy: We’re on Epic.
Bill Russell: You’re on Epic and, but chop is on what is chop on?
Kim Chaundy: They’re on Epic as well, but, so the care everywhere care elsewhere and Epic can read the radiology report, but not really access [00:16:30] to the image itself. So, through life image, we were able to make sure that the providers, from chop was actually looking at quality images, DICOM viewers, to be able to actually interpret, from reading the report, as well as seeing the image themselves.
Bill Russell: Yeah, and that’s a huge gap and that’s, that’s fancy. Fantastic. So care everywhere. They’re going to get the medical record from one location to the other. Although I just did a whole show on where that does and does not work. and, [00:17:00] but, but still they’re going to be missing the images. And so you’re sending across those high res images to chop before the patient actually gets there.
Yeah. I mean, that’s, that’s a fantastic solution.
Matt Michela: And again, bill, it doesn’t matter whether they’re on Epic or they’re on Cerner or Meditech. I mean, it doesn’t matter. Right. And it doesn’t matter whether the image was taken using a GE scan or a Siemens scanner, none of that matters. Right. We’ve got to figure [00:17:30] out how that works.
Irrespective of aversion, swap reversion modeling workflow. Right.
Bill Russell: Yeah. So you’re, you’re an agnostic reposit. Are you a repository? Are you actually pulling the images in to then coach them?
Matt Michela: We’re we’re pulling the images in, I mean, as a part of our, you know, business practice, right? You think about it this way, right?
If we’re moving, if we’re helping hospitals exchange medical information on, we’ll say roughly 12 million patients every single month. [00:18:00] And sometimes that might be. You know, a single CT, or it might be a, a, a, you know, drug list, but it also could be five years of patient history with 27 exams and all their associated data.
we’re not going to store that. Right. The cost of that is crazy to definitely store it when it already exists inside the institutions. We just need to know where it is. We’d be federate it, understand it, index it, right. Yeah. And style patients. So we know who they are, as best as they can. And then, either depending on your [00:18:30] use case, provide visualization into it without moving it or actually move it and then institutions have their own.
Internal policies on, well, do I want to ingest it? Do I only want to adjust three slices of a 1200 slice exam? You know, what do I want to do with my own internal, you know, practices, which are different from institution institution. So we have to make sure they can do all of those, you know, gyrations with the data.
Bill Russell: Wow. So does the new ONC proposed rule [00:19:00] change how you’re going to approach this or think about this?
Matt Michela: So, I mean from life images perspective, right? we’ve been working with ONC for the better part of a year and a half, and we’ve it. A lot of guidance. I work with Sequoia. I work with, you know, the CommonWell, you know, group, we’re obviously try to be standards and space and everything we can and interoperability is.
You know what we dry that. So, they’re, they’re a little in the report in the standards that we didn’t know it was coming, cause we’ve been pretty actively involved in, they included imaging, which was a [00:19:30] big, big step for them. Right. To do that. you know, and in the first generation it will be the imaging narrative in the report.
Right. Which is technically easier. But from our point of view, we’ve already built all of this technology. There’s literally nothing that life image needs to do to help our customers be completely compliant with, all of these standards. Now, again, every customer is different, right? So in some customers they’ll say, yup, you’re digitally connected into our pathology archives.
And then we can include the data set others [00:20:00] say, no, no, no. I have an entirely different vendor that I work with for that data slice. So every institution is going to be different, but for life image, we’ve already built all of this. And today we’re already provisioning data of every dimension that’s included in the standards to consumer, in some of our patients and the information that they’re requesting.
So we don’t have a technology build. But we do have an implementation build with our customers and with providers who may have 17 different vendors that they have to rationalize [00:20:30] now, or may not have the internal ability to do an HL seven connection because they never built the staff. So there’s a lot of work on the provider side that has to be done depending on their site.
but on our side, it’s literally just integration and connectivity and we’re very thrilled, right. That the rules are in place because. We think ultimately that’s the only way we’re going to really improve cost and quality in a dramatic way is to make data more accessible to everybody, including patients.
[00:21:00] Bill Russell: So give me an idea. The. You know, so as this week in health, it, I would naturally ask, you know, from the point of contracting until the point I get something implemented, let’s assume we want to start in Southern California. We want to start sharing images across the clinically integrated network, which represents a lot of different DHRs what does the implementation look like?
Matt Michela: So, The way, I think a [00:21:30] bill I’d answer that, right. Is if you think about the ONC rules, right. They’re patient centric or somebody representing the patient. So you’ve got to have the technical ability to find an acquire this, you know, a minimum required data sets, within an institution. Kind of as a one transaction, right?
It’s not necessarily population-based, although if you solve it, technically you can solve it on a population base. So in that regard, we’re assuming that a request comes through just as it does in our existing infrastructure just happens to come from a patient or somebody representing them. That workflow already exists.
That [00:22:00] comes through as a digital request into a medical record office that’s using. Integration that we’ve already built with them. That’s either inside their UI or inside our UI that says here’s what, who the patient is. These are the demographics, this is how it works. Push these buttons, query, retrieve out of your archives, combine it all together and send it off to the patients.
And that can be highly automated, or you can put it manual checks along the way. in most of our customers, right? Our use cases basic, it starts with [00:22:30] imaging. So it’s all kinds of imaging. With others, right? It’s much more comprehensive approach where they say, okay, go into are connected to our EHR so that you can extract it out of and the records and the paper records, or go into our, into quest and pull in our lab data, et cetera.
So every customer has their own set of vendors. Some we do all of it. Some, we only do the imaging part. but to your question of integration, if it’s an existing customer set up and it works today, the new rules don’t put any. Nothing new [00:23:00] on it, right at that request can be fulfilled. It’s more training the folks inside the hospital to respond to the request when it comes.
Then it is a technical integration. If it’s a customer that would like to use us as a life image, right. To collect the rest of that information, then depending upon how many data stores they have, we may have additional integration that occurs. Sometimes that integration can take us. No, frankly, three hours.
Sometimes that integration can take us eight weeks because it’s [00:23:30] never, our work cycle. Time is always what a provider has, right? If they can’t get to you, cause they’re really busy and talk to you for five weeks or schedule a meeting for six weeks, you can’t do much, right? So you have the busy nature of the hospital setting creates cycle time, but the actual technical work, this is all mature technology on our part.
Bill Russell: Yeah. The listeners of this are gonna understand, I mean, in some health systems that contract takes four weeks in some health systems, it takes [00:24:00] three months, right?
Matt Michela: Yeah. We’re setting up hospitals as simple connection points with simple workflow. you know, we’re, we’re literally able to do that in an hour and we’re, you know, just last year we brought 400 hospitals internationally onto our network and that average implementation time was less than a day for each one.
Now that’s once we get started, right. it took a little while sometimes to figure out which port to connect to because the people doing the contracting was different from their technical people or their [00:24:30] small outside facilities who have outsourced it. But once you get the right seven questions answered, It happens right away.
Bill Russell: Yep. Absolutely. Last question. Cause I appreciate you guys stick around for a little extra time, but the real, real world evidence, is that AR is that playing a role right now in the virus that’s going around the world? Are you a conduit for, sharing of, of evidence or am I reading too much into that?
[00:25:00] Matt Michela: So I, on our part, the answers. No today having said that we’ve just been frankly, pretty overwhelmed in the light last month or so with existing customers or with folks that haven’t managed to get their arms around digital image transfer yet, folks that are saying, Hey, we recognize this as coming and we know we’re going to have to transfer chest CTS and yeah.
How do we do it? So, [00:25:30] we’ve got a lot of new inquiries really from folks that aren’t quite as, experienced in the field. Cause they just haven’t done it. They’ve been very comfortable producing CDs and shipping them around. And now they’re starting to recognize, Oh, that’s not gonna work. Right. This could really be much more serious.
So, we’re getting a lot of that kind of demand and market education, here. But, you know, in the international locations where we’re sending in receiving from our model, principally historically has been designed for care that works between the U S and not [00:26:00] internationally. So while we’ve got hundreds of hospitals in Italy, as an example, Those are hospitals that send patients to the U S or transfer care, or get a radiology over read from here.
but the patients were being treated there so that doesn’t require us to be actively involved in that. I think unfortunately as the next few months progress and it moves here, we really have to help solve these problems.
Bill Russell: Hey, I appreciate you going through this booth visit with me. This is, [00:26:30] but this is what it feels like, you know, you sort of walk up and.
You’re like, okay, these are the key talking points. And, so now I understand where you guys fit. I mean, there’s a, there’s a, I mean, first of all, you’re the plumbing around a lot of different things. So if I had some creative, ideas, you’re probably one of the companies I can sit down with, but just generally talking about the Geisinger solution, there is an opportunity to transfer those images as a part of the entire medical record.
So as we look at building out the longitudinal patient [00:27:00] record, for our community in order to improve care, this is one of the solutions that we should be looking at. So that’s, that’s, that’s what I’m hearing.
Matt Michela: One more thing, if you don’t mind, if you’ve got an extra three minutes, right. Cause one of the other things we’re doing with Geisinger that’s really innovative, right.
Is we’ve launched, in the fourth quarter last year, you know, a life image application, which we call our atmosphere. Right. And think of mammoth sphere, right. It’s as patient, as a patient portal, I hate to use that word. It’s got a UI is [00:27:30] very friendly for a patient point of view. It sits plugged into life image on our enterprise network and allows a patient individually to make requests for them data anywhere in the network where it exists, so that they get to control and they get to own it.
Right. So what the ONC is eventually trying to build too, we’ve been building on our kind of platform here and is focused on. Women who are concerned about their breast health and the use cases, getting mammographies and making sure your [00:28:00] priors are available, even if you might be getting them at Geisinger, but you just moved from San Francisco.
Right? How do I make sure they’re there because without priors available for mammograms, and we know across our data of millions of data points every month, about 25% of all patients that go for mammograms, their annual screening don’t have priors. Right. Even though really good. Yeah. The academic centers will argue with you that they were way better than a 25% average, but it’s about 20 to 25% wherever you [00:28:30] go.
and, and again, that’s because we’ve got a mobile population and they mentioned centers move and people go different places for costs. But if you don’t have a prior mammogram, we know from the clinical studies we’ve done, is that. You’re coming back for further diagnostic testing and maybe that’s a mammogram, but it certainly could be an MRI.
And there’s actually a significant amount of population, with dense breasts that work their way all the way through a process to surgical biopsy. And what we do is that all of [00:29:00] that additional diagnostic testing all the way up through biopsy, about two thirds of that is a false positive. Completely wasted patient experience, completely wasted cost, increased risk, increased radiation for a really vulnerable population that we don’t want add more radiation, but it’s because when that initial read is done, which in, sometimes it’s done in six hours.
Now, if they don’t have that prior, then very few radiologists, we’re gonna make an unemployed, non ambiguous call on this [00:29:30] unless it’s. Super really clear or super, really bad it’s I don’t know, come back. And so in order to try to close that 25% missing prior mammoth sphere or abandoned or mammography gap.
And get it to zero, right? Putting the ability in the patient’s hands to collect the records prior and over the course of their life, wherever they go. So with a push of a button, they can digitally collect it for the push of a button. They could send [00:30:00] it to the gut to Geisinger. here so that by the time they show up for treatment, all that data’s available.
And so that’s,
Bill Russell: so let’s drill into that real quick. So the push of the button is that happening within my chart. So I’m logged in a guy, screws my chart, I’m hitting requests. It’s pulling that information into moving it over, or is that happening in its own app and its own interface
Matt Michela: it’s happening in its own app and its own interface.
Now it ties into my chart and can extract data. Out of my chart, right? Depending on the institution. [00:30:30] But the idea here is. To make sure that the patient has an, a Gnostic account. So whether they move from Epic to Cerner, they move from geography, they move from system to system. They’re not tied into one specific, you know, infrastructure account it’s theirs, and they get add to it right.
As much as they want. Right. They can upload their own pictures, their own files, right there.
Bill Russell: Are you trying to be a health fault with this kind of the solution?
Matt Michela: Are we in essence? Right. Conceptually, that’s what it is, but it’s. Focus, particularly [00:31:00] on specific clinical conditions and use cases, right. That have a high need for engagement in the school to make sure that they’ve got their data digitized to move in lots of different places.
And so Geisinger has gone live with that in the fourth quarter, we have, several other academic medical centers that have also been innovative to pilot this, and it’s really, think of it as a. You know, from a point of view of a provider, right. It solves all my workflow or a lot of my workflow problems by making sure date patients are here.
But it’s also something I [00:31:30] can give to my patients and show them that I actually care about them.
Bill Russell: Yeah, no, I absolutely get that. Do you wipe box it or do you allow the health system to brand on top of it?
Matt Michela: Yeah. Health system can run on top of it. Exactly right. And so we’re running a little large scale clinical trial on this, a nationwide trial.
That’s been gearing up in the course of the year in the provider setting, right guys. And you’re really stepped forward again under the same umbrella of innovation with the key HIE to say, how are we going to make sure that medical information is accessible in [00:32:00] all of these different use cases? This was one that said, all right, let’s focus on women’s breast health with this.
You know, brand new, innovative kind of application and let’s see what kind of engagement we get from patients out of it and what kind of use for it.
Bill Russell: Yeah, it makes sense. Matt Kim, thank you very much for, taking the time to come on the show. I really appreciate it. And, you know, this, this really is the part I miss.
I was not familiar with this solution and I, I, I think there’s a lot of value for health systems that are poking around in this [00:32:30] space to try to figure out. How to do things. This is definitely one of those boosts that, and gosh, now you have a two story booth that you’re going to be taken. Hopefully, hopefully, hopefully you’ll get to use that at some point. That’ll be pretty exciting.
Matt Michela: Exactly. I’d say we can. Look overlook, right. All the folks on the floor that we want to be more inoperable and chastise them when they’re not.
Bill Russell: I understand that. All right. Let me, let me, let m close out the show then, come back to the two of you. So, [00:33:00] you know, don’t forget to check back multiple times this week.
We’re going to be dropping more shows from the, From the virtual hinge show, I guess you’ll call it a, we have a couple more interviews to this show is a production of this. We can help it for more great content. Check out the website this week, health.com or the YouTube channel. Thanks for listening.
That’s all for now.
The Interoperability rule has come down, now how do we build it. Matt Michela CEO of Life Image and Kim Chaundy of Geisinger talk about how they partnered to make images interoperable across PA KeyHIE partners. Hope you enjoy.