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Interoperability at scale: The path to smarter, connected care

20m 17s

Interoperability at scale: The path to smarter, connected care

The discussion focuses on achieving interoperability and smarter connected care in healthcare. A major shift has occurred from solving micro-level clinical problems to addressing intensified enterprise-level challenges like workforce shortages and cost pressures post-COVID. While hospitals have heavily invested in smart technologies, these often operate in silos, failing to deliver full value. The solution lies in moving towards integrated, open, and event-driven platforms that act as an operational backbone. Such platforms enable real-time data exchange and workflow orchestration across devices and systems (like EHRs and communication tools), allowing for proactive care, such as predicting falls or sepsis risk. Success depends on infrastructure that reduces fragmentation, with ambient intelligence and automation that give time back to clinicians rather than adding complexity. Ultimately, a successful smart hospital strategy is measured by improved patient outcomes, staff satisfaction, and the ability to adapt technology seamlessly without constant disruption.

Transcription

3479 Words, 20268 Characters

English
Hi, everyone. This is Lucas Voss with Becker's Health Care. Thanks so much for tuning into the Becker's Health Care podcast series. It's great to have you. We're talking about interoperability at scale today. The path to smarter connected care. And I'm very excited to have Scott Sichorn on today. He's the Vice President and General Manager of Smart Care Business Unit at Striker Medical. Scott, thanks so much for taking some time for us and being here today. Hey, Lucas, glad to be here. This is exciting. I'm looking forward to chatting with you. Yeah, we have a lot of ground to cover today. I do want to start us off with introductions really quickly. Scott, if you want to go ahead and just share a little bit about yourself and your work in health care. Yeah, so I guess at a really high level in 2025, I'll let a business unit here at Striker called Acute Care. It was really our bed stretch report flow. And we've made some acquisitions over the last five years. It took us really down deep into this digital pathway with full-sare and carry eye. And so like right now, at a high level, I lead in 2026, our Smart Care Business Unit. That sort of sits right at the intersection of our connected devices, carry eye, full-sare, and the broader connected portfolio, our digital platforms here at Striker. Good communication and ambient intelligence. And so my team's folks right now is really pretty simple. We help health systems turn really fragmented kind of capital equipment environments and point solutions into more connected, more intelligence driven ecosystem. Solve problems really helps improve safety, efficiency, and staff experience, things like that. And I'm excited to have you on specifically because you have so much experience in making these turns right. And you've certainly had a front row seat to some of these major shifts in digital health over the last couple of years, certainly in 2025 as well. And now into 2026, as you've just mentioned, as organizations integrate more advanced technologies, some of them you've touched on just now, how have you seen problem solving evolve at the system level, especially when we talk about safety and efficiency? Yeah, I think one of the most important shifts is that, you know, while the like them, I call them the micro problems of healthcare really haven't changed a whole lot. Those macro problems have really intensified, especially since COVID. I think that was one of the the bigger turning points in healthcare. And you know, the micro-level hospitals have really always dealt with things like pressure injuries and falls and cognitive overload. And all those like never events that we hear about. And Striker, you know, frankly, we make a lot of really good products that help solve for those and sort of other great med tech companies as well. And what's changed is that leaders of healthcare organizations that are now under this intense pressure to solve enterprise level problems, right? So those problems at those point solutions simply can't address on their own. I hear things like workforce shortages, big issue post-COVID variation in care, delivering quality outcomes, and not pre-COVID quality outcomes, but getting better than we were pre-COVID cost pressures are a real issue right now and then operational efficiency. And so at the same time, you know, hospitals have already made a massive investment in smart products and they really have proliferated in healthcare here with the last five to seven years, things like smart beds and smart devices and smart pumps and EHRs and your strategic digital platforms, some lab and workforce management. And I think the frustration that I hear more than anything is that they've made this huge investment in all this technology, smart technology, but it's still sort of operating in silos and they want more out of it. Speaking of silos, I think that's really critical, especially when we talk about the clinical side of things and clinical teams, especially what makes these technologies, some of them, again, you've touched on just now, meaningful four clinical teams today and where are they starting to make the biggest difference, especially when we think about silos? Yeah, I mean, we talk a lot about ambient intelligence and automation across care settings and it's, we're just at the start right now. I mean, the market is not mature right now. I think a lot of the med device companies are learning alongside customers, which makes an interesting partnership opportunity as we do this thing together, but from an AI perspective, I think ambient technology is most meaningful when it sort of disappears into the background and it gives time back to clinicians and when it becomes something else that they have to manage, more clicks, more buttons, more things to do, more things to keep their eye on it. It fails and it's, you know, it's med device companies that are specifically looking at these types of technologies. You've got to think about the workflow and the amount of steps that people have to do. So there's a lot of focus right now on ambient also as the definition of smarter hospitals and a lot of the conversations that I do have with customers is about making their hospitals smarter. An ambient comes up quite a bit and I think it's a little bit of an incomplete story when you bring ambient into the single tip of the spear for smarter hospitals. Ambient I think is important, but it's clearly and it definitely just one input to helping hospitals get smarter. The way you start to show ambient signals and the data associated with that are combined in a meaningful way with workflows and other product data and communication, it's across the system. You touched on the usability piece which I think is so important. To be able to adopt something, people have to actually use it and like to use it, which is really, really key. For you personally, to and from your work, what are some of those key ingredients of an ecosystem that allows digital tools to work together in a way that actually reduces complexity, right, rather than adding to it? What are some of those ingredients that need to be there for this to all work together? I mean, there's a lot to it. I could tell you that most conversations that I have with folks at hospitals that are, you know, your chief digital transformation offers, those that are thinking about interoperability and they're thinking about workforce management and AI. They ideate a lot, right, because the sky is the limit here with the things that you can do to the technology is so good right now, but I think good middleware becomes a part of that, right, when you're servicing data, you're getting products to work to each other, you're getting platforms to interoperate and work with each other. So really good, solid middleware. I think about it as like infrastructure, right, the things that are critical to helping hospitals get smarter, middleware is certainly a big part of that, a good communication and how people talk and communicate with each other as part of that infrastructure. The intelligence and the information that lives within products is really important. You know, when we think about our platform here at Striker, the smart hospital platform that we're building, being event driven is really important, and that means when something happens in one system, whether it's an EHR or it's on a product or it's in another strategic platform like a lab or your workforce planning platform, all those other systems can react with each other in real time. So an example of that might be if a bed rail goes down and it's not supposed to, your badge or your phone can get alerted, right, pretty simple. You know, that's that's a lot different than the dashboards that really are prevalent right now in healthcare that tell you what happened after the fact. I think like really good solid real time analytics across all of your domains is a really big part of that infrastructure. So like when lab values show up, vitals come out of the ICU and device data all kind of come together instantaneously, you can sort of identify risk patterns and things like sepsis, you know, those risks and those events that happen in healthcare. And you can do that without manual interpretation delay, which is what real time interoperable systems allow you to do. And I also, I think that most hospital executives that I talk to, I think openness really matters. So hospitals, we know it's striker that hospitals never gonna use strikers. They're only technology vendor and it's rare where you'll find a hospital where they have one tech vendor. So we know that, right? So the platform is has to be ultra open. It's got to be developer friendly. It's got to be flexible. It's got to be extensible. And you know, I know that hospitals, smart hospitals aren't templated, right? They're curated, they're crafted and every organization has to be different. So I think that infrastructure that I walked through is probably the most important part with middleware being that they're really central to that. You talked about the leadership piece here just a second ago. Acquisitions and partnerships have played a role across the industry as organizations look to expand their digital capabilities. And I'd love to know this is really important. And I'd love talking about this. How can leaders determine which innovations will meaningfully impact their organizations versus those that might just be hype? Yeah. And I think that really, you can think about this from a Medtech leader perspective, but also hospital executives in hospital and healthcare leaders. And I think there's really one simple question that you can ask is one, does it reduce fragmentation in the system or does it add to it? Right. And I think we hear it strike a way to look in the mirror on this ourselves. And you know, striker, we had hundreds and hundreds of smart products that were part of our advanced digital healthcare portfolio. And each one of those products had its own platform, right? Its own deployment model. It's the technical debt for customers was heavy. And, you know, that mirrors the exact problems that hospitals face right now that you've have thousands of products that have platforms and have connectivity and have data. And it becomes super fragmented in the amount of technical debt that customers carry is intense, especially on IT. And so we've made this a really deliberate decision here to move towards a one striker, one platform, and you're getting into the technical stuff, one instance, multi-tenant cloud deployed, right? One security model, one install, one connection to the EHR. It's really a big request from our customers, okay, we are great customers of yours. We've invested heavily. We need to work from a technical perspective with one striker. And so that's also why we're not really trying, we're not trying to own everything, right? We're not trying to be one platform to rule it all. We're not betting on a lot of things, you know, people talk about large language models and there's some work that we're doing with some striker specific LLMs in partnership with the handful of companies. But, you know, your big five are going to take that. Maybe they get, you know, they get, they become ambiguous over time and they just become commoditized. We're not trying to become an algorithm company instead. What we're doing is we're building a platform here that can run whatever models or algorithms customers choose because the limit, they're limitless right now, right? And we run them through our endpoints on our platform, other products on the platform as well in a way that's easy to manage and accidentally delivers value for our customers. It's open, it's extensible, it's flexible, we'll work with anybody. The limitlessness piece is very interesting too because I think that that's so key for folks. And again, the flexibility part that you've just mentioned, is that what excites you most about the potential of this model? And how do you see it influencing decision making too as we move into 2026 and certainly beyond? I mean, it is a big part of what excites me. One, because of the flexibility and how things are changing, you know, one of the things that we hear a lot from customers is in which an open extensible event driven platform allows them to do is kind of move away from retrospective data and information reporting into more real-time orchestration of events that are happening and, you know, on the clinical side, you can watch risk and flow as it happens and instead of waiting for, you know, that monthly report that says we had too many falls like the platform detects those types of things and those patterns and in near real time and it automatically changes the work, the way that work is routed. And an example of that, I think, is just really dynamically adjusting, like rounding patterns and escalating delays or triggering virtual support through the KRI platform before a situation becomes a problem. And those are real low-hanging fruit that's like very real and possible right now on a lot of the technology that exists and at the enterprise level, I think leaders are finally getting a single view of how they're connected assets and their workflows are performing across the system. You can do a lot of things with it, right? And again, we get into flexibility and things like that, but understanding which sites or units are outperforming others and why and you see adoption and utilization of your digital capabilities in real time. And you begin to be able to sort of tie your capital investments and digital projects to real measurable improvements. And I think in that world, right? And we're, like I said, we're at the very beginning of this. It's just going to continue to accelerate and get better and better over time, but a smart hospital platform is less a piece of technology and it's more of an operational backbone of the organization and it gives executives a lot of confidence and need to make bolder decisions, right? To drive better care because they can see the impact and adjust course quickly. So I think there's, I'll say one more thing here. I think it also creates choice and optionality, which is really important. Big organizations can start with, and we have a lot of customers to do this right now. Let's start with one thing, right? One single use case, bed exit, chair exit, hand washing, and they can take that use case and they can expand over time and they can do that without re-architecting everything and creating new connections into other products that they're bringing into the use cases. And so from an operational perspective, that type of flexibility is, I think, essential in the environment that we're in right now where priorities are changing quickly. And you know that. It's every week something's changing and having some stable architecture that allows flexibility is super important. Speaking of which, the changing landscape, I do want to do a little bit of a future outlook for here. You two, I know it's a little hard, as you just mentioned, it changes every single day. There's something new, right? Looking at had three to five years, what does success look like for hospitals that are embracing this more connected intelligence driven approach right now, specifically, wrong care delivery, and what are some of those indicator that will matter most for executives to see, okay, this is actually making, we're actually making progress. I mean, I think some of this is just my own opinion. A lot of it is informed by customers, but I think that in three to five years, successful hospitals, you know, now a lot of your bleeding edge customers will call themselves high tech, right? Which they are. But I think it sort of moves to this, and the hospital executive said to me, this to me at one point, quietly intelligent, right? So the technology feels less visible, but it's more present and helping care teams do the right thing at the right time without constant friction, which technology does create friction right now. It is a double-edge sort in healthcare. I think success looks like hospitals that can adapt quickly without sort of ripping and replacing technology every few years. I think from an executive level, they're going to look at whether they've reduced variation in care and stabilize their workforce challenges, which is a real issue right now, improved their outcomes, like driving more quality outcomes, and they've simplified your technology footprint. There's just too much tech in healthcare right now. It's got to get simpler. I think they're going to care about whether all the new use cases, whether they're ambient or communication or product use cases, if they can get deployed, and just a few days and not months, which at times it takes a long time to bring these new use cases into healthcare because of the amount of change management has to happen. And I think whether innovation feels additive and not disruptive, and like I said earlier, it can feel disruptive right now. I think those are big parts of it. I also think that, more importantly, that they're going to know they've been successful when their teams and their hospitalists and their doctors and their nurses say that this actually makes my job easier. The successful organizations are going to be the ones that can evolve without constant disruption, without friction. And I think ultimately success shows up when the clinicians have great experiences and the patients are getting good outcomes because if that technology consistently makes work easier and more coordinated, that's a strong signal that the strategy's working. It's the ultimate marker of success. What are the people to say? Are the people happy? Are the teams happy? Which is really, really crucial. Scott, it's so great to have you on. I want to turn the floor over to you. Anything else that you want to add that we might have not touched on that's important in our context today. Yeah, I think there's probably two or three things on my mind, and the deeper you get into conversations with the more progressive customers, the things that I've learned that if you're at the beginning of your journey of helping your hospital get smarter, it might be one single use case. It could be big system of care workflows that you're working on is that there is no single blueprint for a smarter hospital. I think the most effective approaches that I've seen, they focus less on prescribing solutions for their caregivers and more on creating the conditions for that intelligence and that innovation to emerge. That's a big part of why getting the infrastructure is so important. I think that means investing in more open and flexible infrastructure that allows your data and your all your devices and your teams to work together in a way that reflect the organization's reality. I think once you get that foundation in place, you can build really highly customized and workflows, whether it's for stroke care, critical care, or just like everyday operations in a room. You do that not because someone for you, but because the system can adapt and getting that right up front is really important. I would also say that technology is the easy part. The real determinative success is governance, it's culture, it's how you choose to use the platform, it's change management and I think the organizations to get the most out of their technology from the smart hospital platform are the ones that co-design those use cases with clinicians and with operations and not just IT or not just the vendor, they treat the platform as a long-term asset for them and they build really clear roadmaps, simple things at first that they can build and improve efficacy on and they build it on top of that and then they hold themselves accountable to the outcomes and not just the deployments. It's really important. Scott, again, so great to have you on. Thanks for taking some time for us today. It's fantastic to have you. Yep, thank you. And we also want to thank our podcast sponsor Striker, you can tune into more podcasts from Becker's Health Care, visiting our podcast page at Becker's Hospital or review.com.

Podcast Summary

Key Points:

  1. Healthcare faces intensified macro-level challenges post-COVID, such as workforce shortages and cost pressures, requiring enterprise-level solutions beyond point-specific products.
  2. A key shift is moving from fragmented smart technologies (e.g., smart beds, EHRs) operating in silos to integrated, event-driven platforms that enable real-time data interoperability and workflow orchestration.
  3. Successful digital transformation hinges on open, flexible infrastructure (like middleware), ambient intelligence that reduces clinician burden, and a focus on reducing system complexity rather than adding to it.
  4. The future of "smart hospitals" lies in creating quietly intelligent environments where technology is less visible, adapts quickly, and is measured by improved care outcomes, staff experience, and operational simplicity.

Summary:

The discussion focuses on achieving interoperability and smarter connected care in healthcare. A major shift has occurred from solving micro-level clinical problems to addressing intensified enterprise-level challenges like workforce shortages and cost pressures post-COVID. While hospitals have heavily invested in smart technologies, these often operate in silos, failing to deliver full value.

The solution lies in moving towards integrated, open, and event-driven platforms that act as an operational backbone. Such platforms enable real-time data exchange and workflow orchestration across devices and systems (like EHRs and communication tools), allowing for proactive care, such as predicting falls or sepsis risk. Success depends on infrastructure that reduces fragmentation, with ambient intelligence and automation that give time back to clinicians rather than adding complexity.

Ultimately, a successful smart hospital strategy is measured by improved patient outcomes, staff satisfaction, and the ability to adapt technology seamlessly without constant disruption.

FAQs

The goal is to turn fragmented capital equipment and point solutions into a connected, intelligence-driven ecosystem that improves safety, efficiency, and staff experience.

Leaders now face intensified enterprise-level problems like workforce shortages, care variation, cost pressures, and operational efficiency, which point solutions alone cannot address.

Ambient intelligence is meaningful when it disappears into the background, giving time back to clinicians without adding more clicks or management tasks.

Key ingredients include solid middleware, good communication infrastructure, real-time analytics, and an open, flexible platform that allows systems to interoperate seamlessly.

Leaders should ask if the innovation reduces fragmentation in the system or adds to it, focusing on solutions that simplify rather than increase technical debt.

Success involves hospitals becoming 'quietly intelligent' with less visible technology, reduced care variation, stabilized workforce, improved outcomes, and simplified technology footprints.

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