Sterilization Station: A Sterile Processing Empowerment Podcast

AI Meets SPD: Transforming Instrument Management

Bill Rishell Season 2

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Etay Gafni, founder of LayerJot, shares how AI technology is transforming sterile processing by supporting technicians with instrument identification and tray management solutions. His company's innovations help SPD teams work more efficiently while improving accuracy and reducing workload.

• LayerJot began after visiting an SPD department and recognizing the challenges technicians face memorizing thousands of instruments
• Building AI that can recognize surgical instruments required tens of thousands of photos and specialized algorithms to identify subtle differences
• SID (Surgical Instrument Directory) provides free access to a catalog of 3.5 million instruments through mobile app or website
• New SID 4.0 features include the ability to scan count sheets to instantly access instrument information
• Count Sheet AI helps departments manage their instrument lists with standardized descriptions and images
• Tray Inspector allows comparison between physical instruments and count sheets to identify equivalents or mismatches
• ORStats uses AI cameras in operating rooms to track which instruments are actually used during procedures
• Data from ORStats helps facilities reduce tray sizes by 30-50% through evidence rather than opinion
• LayerJot's philosophy focuses on supporting rather than replacing SPD professionals
• All products available through layerjot.com with free options and trial periods

Access LayerJot's free SID app at layerjot.com or through app stores to start exploring their surgical instrument catalog today.
Still using outdated count sheets that slow you down with errors and confusion? Say goodbye to guesswork and hello to Count Sheet AI—an intelligent tool that transforms messy lists into clean, image-rich, standardized sheets in seconds. ⚙️ Save time, boost accuracy, and simplify SPD workflows today. 👉 Click to learn more: 
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Speaker 1:

Welcome to the Sterilization Station. This is your host, bill Rochelle, for another great episode here, really excited to be back on the air doing another episode to empower, encourage, motivate and inspire those in sterile processing. And today's episode is really all about transformation how artificial intelligence is reshaping sterile processing as we know it. You know, from identifying instruments to building surgical trays, ai is stepping up where overwhelm was once stood. So today our guest is Ete Ghafni, a healthcare technology leader and also a founder of LayerJot, a company that's pioneering AI-powered innovations like SID and EasyTDE to make SPD teams faster, smarter and more accurate. So, whether you're a tech on the front lines or managing a busy department, this conversation will show you how AI isn't here to take over. It's here to help you to do your job better and safer, and so definitely want to just welcome you to the show and really glad to have you on today.

Speaker 2:

Yeah, thank you, my friend.

Speaker 1:

Glad to be here and me as well. I've been really looking forward to this episode. I remember meeting you on LinkedIn, seeing and hearing about the products that you offer. We even got on a phone call. I was able to get a demo and so just really excited to bring this to the sterilization station to the viewers, and so I'm really, really excited to bring this to the sterilization station to the viewers and so I'm really really excited. So maybe if you could just take a second to just tell us a little bit about what inspired you to start LayerJot and how did you recognize sterile processing?

Speaker 2:

as a space ripe for innovation yeah, excellent.

Speaker 2:

Yeah. So I started with my co-founder, soren Harner, layerjot almost seven years ago and we were building technologies that allow people, especially in the workforce, to do their job better by overlaying information on the physical world so using augmented reality, vr, ar, assisted reality and we were looking for different solutions for different problems people had. So we had a chance to be invited to an SPD department for an open day or learning about their challenges and we looked and we've been through that and we just fell in love with the problems and especially with the team that was working in the SPD doing this amazing job, amazing people to just have a lot of challenges that we felt that we can assist with, just have a lot of challenges that we felt that we can assist with. So the philosophy behind LayerJot is that we would like to bring tools that guide and verify, that help you do your job and just make sure the quality is good.

Speaker 2:

And when you look at the technicians at SPDs, they have to memorize a lot of information about surgical instruments. They have to be able to identify hundreds, if not thousands, of different instruments and you know we are as humans. It's really hard to do that, coming from a technology side, building large databases and enterprise system, but also a lot of experience in computer vision and e-learning and other things. We thought that we have here a challenge that we would like to take on, beside the good karma and really helping the workforce. For us, it's how can we apply the technologies that will have an impact not just financially but also patient outcome, workload on the workforce, and just build something that is useful, not another ad technology or something like that that utilize computer vision, ai and a lot of information.

Speaker 1:

Wow, that's amazing. I mean I think, yeah, sterile processing is such an interesting department and to see some of the technologies that are coming out and then to learn of your technology and the impact that it's having on sterile processing is just really amazing. What was the biggest technical challenge in building LayerJot's instrument? Recognition aspect.

Speaker 2:

Yeah, that's a great question. We had a couple of key challenges. One is access to accurate information about the instrument themselves, just text-based descriptions. Right, there are different descriptions from different manufacturers for the same instruments, a lot of equivalents, a lot of issues with is this the same instrument? What is the function of these instruments compared to another, and what's the difference between a scissor and a forceps? Sometimes it's really hard to know. So things like that were kind of a baseline for understanding the utility.

Speaker 2:

And then, from a computer vision perspective, back then when we started, there were different technologies, not like today for computer vision, and one of them was kind of template based. And the challenge, especially with surgical instruments, is that if you take scissors, for example, they may be closed and they may be open, right, they may be upside down or turn over, so they have multi-states. It's not something you can predict. So building computer vision solutions for environment that people are involved and it's not industrial meaning you're not observing assembly line is totally different than what the technology was there before. So we had to come up with new technologies and new ways to do things.

Speaker 2:

And also all kinds of computer vision models that came out were not covering surgical instruments. Google and Meta and all of these guys spend billions of dollars of learning how to recognize different types of dogs and cats, but no one spends the same amount of time understanding surgical instruments right? It's too niche. And then, on top of that, when you're looking from a computer vision perspective at these instruments, many of them are shiny, curved metal objects with very small differences. Sometimes it's just the number of teeth you have at the edge, or the color or some other things in the handle that is different. So it was really really challenging to build the right computer vision models that allow us to really accurately identify instruments in a percentage that is much higher than humans at this point.

Speaker 2:

Oh, so in other words, it's very complex and it's very hard, yes, and just for people to understand, it required, you know, tens, if not hundreds of thousands of photos of surgical instruments to build the computer vision models, hundreds of thousands of photos of surgical instruments to build the computer vision models. And because we have a lot of engagement with our tools by seed and we can talk about some of the products that are out there. Our models are keeping improving as we have more instruments that we see or our cameras observe and identify. So it's always learning. But also we have a dedicated team of SPD technicians, senior technicians, that help us verify, have a human in the loop to verify that what the algorithms and what the computer vision models are replying is actually correct. Especially when we're learning more and more new instruments, we need to make sure we categorize them correctly and for that we have human experts that actually assist us with that.

Speaker 1:

That's really amazing. So it's like 360 degrees in every object. So you're really trying to capture that. To capture that whole object, you have to almost hit it at every angle. You know what I mean.

Speaker 2:

Yeah, I do know what you mean because we spend long weekends and nights in different SPDs learning new instruments, building technologies that allow us to capture the 360, as you describe, or the dome, the instruments from all directions, building object detectors, all kinds of tools that allow us to zoom in and identify area of interest in the instrument. For example, if there is a barcode, how to zoom on the barcode automatically. Or if there is a skew etched on it, or if there is a damage, how to look into it. So we developed about six different techniques and technologies to do that. Many of them have evolved and, you know, with some new tools, got, you know, obsolete very quickly.

Speaker 2:

However, the model itself keep improving and getting better and again, one of the challenges we have is that we are dealing with such a niche area that you cannot take something off the shelf. We did experiments, for example, with the latest Chachi, pt and Gemini and others. You show it a picture of a surgical instruments and it can pretty much tell you what category it is, but it doesn't tell you exactly what it is and, as you know, assembling trays, just knowing it's a forceps is not good enough for many couches, right? So, taking the extra mile and really identify the instrument, not in an 80% accuracy, but really in the top 97 plus percent accuracy. This is where a lot of our intellectual property and hard work went to in order to provide really the value to the people that uses it, to have the confidence that they identify the instruments correctly and then associate relevant information about these instruments that help them with their task, just out of curiosity what gave birth to the name LayerJot as the company name.

Speaker 1:

Associate relevant information about these instruments that help them with their task. No-transcript.

Speaker 2:

So the idea was again coming from the guide and verify principle is that we would like to layer jolt information on top of physical objects. So we started with augmented reality, where we developed applications for smart glasses that allow you to do things like you could look at things and you can count it automatically, or you can identify surgical instruments using smart glasses. Unfortunately, smart glasses are always three years ahead, like they will be popular in three years. Every year it's three years. So we have pivoted from a technology perspective into different techniques like using mobile phones and tablets, using different computing devices and high quality cameras, but definitely when smart glasses will be there and will be popular, we have the right technology to apply that. But again, it's just layering knowledge on top of physical objects and that's LayerJot.

Speaker 1:

Yeah, that's really good. That's pretty cool. Thank you for explaining the company name that was. I'm just a person that likes to know about names and really intrigued by why people choose. You know the name that they choose, and so now, just out of curiosity, I was curious too, is so with the different products and that you guys are offering through LayerJot, like what are some of the products that you're offering and then what are the pain points that these products are addressing in sterile processing or surgical services?

Speaker 2:

OK, great. So let me use the layer metaphor and layer it out, right? So the first layer is our catalog. So we have a catalog of surgical instruments over three and a half million instruments there. We spend a lot of time and effort building the catalog, cleaning the information, aligning the information across the different sources but, also taking high quality photos of these instruments, allowing people to access this information.

Speaker 2:

I always remember one of my first visits to the SPD when I saw a traveler that did not know a specific instrument. He basically Googled the SKU, got the wrong answer from eBay with the wrong picture, and he just said OK, and then continue assembling the tray. And that was kind of a moment for me to say there has to be a better way. So on top of this catalog, we build SID, the Surgical Instrument Directory. That really becomes kind of the better than Google for surgical instruments. It's a tool that you can do a text search to find an instrument. You can search by our category or classification or size or whatever. But more importantly, you can use the camera. If you're using a phone, for example, you can scan a barcode or scan the skew or even recognize the instrument by shape, and then you get access to accurate information.

Speaker 2:

Many of the instruments have checklists for inspections. Many of them have links to IFUs from the manufacturer website. So it's really kind of the surgical instrument world in your hand, right? You have access to all of that information and it's on your PC or on your mobile phone, and we give this tool for free to the community and, as you know, there is about 100,000 different surgical techs in the US. There is a lot of shortage in different departments where there is a lot of turnover. So having a tool that has access to all this accurate information is very important for onboarding and for helping people you know on the third shift to be able to assemble a tray and know all the right information about that specific instrument. So that's kind of seed product.

Speaker 1:

Yeah, and I love it because when you first told me about it, I like literally ran it, downloaded it, had everyone get it. We started playing around with it. I was just totally blown away by this technology. I mentor hundreds of students. I'm active at different sterile processing schools. Every time I meet a student I'm telling them you need to get this because it's such a great tool. It's exciting. So if you're a sterile processing department out there at school, make sure you have SID. I think it's. Is it 4.0? Now 5.0? What are we on now?

Speaker 2:

Yeah we are 4.0.

Speaker 2:

Yeah, so one of the things that we added to SID this year, this is version which is free on the app stores, android and Google, and you can get it from our layerjobcom website or, just, you know, search for it on the app Store. One of the key feature we added right now is the ability to scan count sheets, and what does it mean? You can basically take a photo of the count sheet in front of you and we're using AI again to read the count sheet and to understand, because every system has a different structure of a count sheet and some people have no count sheet, digital count sheets, or they are not, don't have a tracking system. So we build this mapping capability that allows us to recognize the instruments in the count sheet and then you get all of these instruments listed for you, ready for you on SID on the mobile phone. So, yeah, then you can go one by one and access all the information across all the instruments you have on that page of the count sheet. That's awesome, yeah, and we get great feedback for that, because people sometimes don't have PCs next to them. They're working with a paper account sheet, so that really gives them access to accurate information, regardless of whatever tracking system they have or don't have. So that's kind of seed and it's free and our goal is to keep it free forever.

Speaker 2:

Working with assembly, we've been working with Hysteris on some solutions on that. They show some of the solutions in the recent SBA, but basically it's allowing integration of information and scanning abilities into SPM and I'll let them talk more about it when they decide to. But we got a lot of requests from people saying, hey, but I don't have a digital count sheet system. So we just released in HSPA another product which we call Count Sheet AI, and Count Sheet AI is basically a count sheet management system. It's not a tracking system. It's just a way for you to manage your count sheet and output a nice looking PDF that you can print, that you can scan with SID and get access to all the information and, more importantly, you can have accurate information and description of the instruments in your countsheets. It's layered on top of the SID catalog so all the information is clean and accurate and many of these have pictures so you can use the tutor function of it to basically train people on this count sheet. They can learn in the facility or even at home. It's a web-based solution, no installation, so they can get familiar with the trays before they come to work. So Countsheet AI kind of gives you this easy, very affordable system for managing your count sheets and you can get it again on our website register. We even help you transform some of your current account sheet into the new model.

Speaker 2:

Another key value of account sheet AI is the ability to improve the information and enrich the information of your account sheet. We see a lot of account sheets that have missing information. They have a vendor skew but the description is too short or it's just misleading. With Countsheet AI you can choose whether to use the description you currently have or align it with the catalog from seed. So slowly you can start improving the descriptions of elements in your count sheet.

Speaker 2:

And then the next thing you can do, you can use our mobile app, that is, tray Inspector, to actually compare physical instruments in the tray to the instrument listed in the count sheet.

Speaker 2:

And you know better than I that if you have five instances of the same, you know let's say, major hand tray that has 64 instruments in the count sheet, 64 instruments in the count sheet, and you look at five different instances of that tray, you're going to have so many variations of equivalents, wrong instruments, missing instruments, all of that.

Speaker 2:

And what the Tray Inspector app allows you to do is really to go line by line or scan instruments individually and it will tell you which instrument it matched in the count sheet and if it doesn't match directly, you can say this is an equivalent of that specific instrument in the count sheet. And if it doesn't match directly, you can say this is an equivalent of that specific instrument in the count sheet and how similar it is. Because some doctors, some surgeons may want to say I would like to use only exact equivalents or some would say I would like to use exact vendor. So this tool allows you to do that and get a report across all of your trays of what's actually in the trade compared to what's in the count sheet. So we have teams using it and different consulting organizations starting to use it and it's a very powerful tool of a reality check of what do you actually have compared to what you have listed in the count sheet. So that's kind of count sheet AI.

Speaker 1:

I want to go back to SID 4.0 real quick, just for a second. I'm curious. So if you are at a computer, you do have a computer station. Are most hospitals that are utilizing SID 4.0 ona computer? Do they have some form of a handheld scanner or do they have to scan the count sheet into the system? How are they able to scan? I mean, is it like how are they scanning the count sheet into the system?

Speaker 2:

So if you're using a PC, you can upload a PDF as a file. Okay, and that's it. If you're using SID on a PC, you can connect a webcam. Most computers in the SPDs are not latest and greatest right and the webcams may not be good, so for highest performance we prefer mobile devices at this point, but you can definitely use it on a PC as well. We are working on some versions that will have more kind of a workstation feel to it, that will have high quality camera connected or a mobile scanner in which you can scan with your phone and get results on your PC. But most of our users either use it on the PC to do text search and upload PDFs of count sheets, or using a mobile device to actually recognize instruments using the camera phone.

Speaker 1:

This is great and you mentioned that currently you guys are in a partnership with Steris' tracking system, spm. Is that you plan on branching into other integrating with other tracking systems?

Speaker 2:

Currently we are with Steris SPM.

Speaker 1:

Nice, that's really cool, that's awesome.

Speaker 2:

And then and the last layer is basically the holy grail as far as we can tell is how can we help the industry to be less drama-driven and be more data-driven? And that's really around utilization, because it's a known secret that the trays are too big with too many instruments. Trays are too big with too many instruments and as soon as you try to do tray trimming and you ask different staff surgeons or nurses or technicians, what can we take off the tray, usually you ended up with three more instruments in the tray. So how do you go about and do tray trimming on a way that is scalable? So for that we announced in HSPA our ORStats solution. So ORStats is a combination of hardware and software. It's observation tower, it's basically a cart that you can roll in into the OR that has an iPad on it and a high quality camera and it observed what is happening on the mail stand and it can look at the back table as well.

Speaker 2:

But just to simplify things, let's talk about the mail stand for a second. So the surgery starts. We know what instruments were prepared because the instruments are in the count sheets and the trays were, you know, went through the tray inspector and we know all the equivalents and all of that and whatever is placed on the mail stand is marked as intended to be used and then, without any interruption to the workforce either surgeons or the nurses or the techs you passively capture all the instruments that were intended to be used. Capture all the instruments that were intended to be used. So, unlike analyzing all the instruments before and taking them off the stringer, or doing a surgical count at the end and trying to figure out what was used, not used, all of the observation is done during the procedure itself and when the procedure is done, you just click stop. You can analyze these photos to see if you want to review or change anything, and then the AI just speed up a report of saying what was used compared to what was prepared for that surgery.

Speaker 2:

And then, over time, you can start thinking about what can I trim, what can I put in a pill pack, what can I put in an extra smaller tray? And you can slice and dice the information per procedure, per demographic of the patient, per surgeon, and what we are doing is giving you the data and giving you the analytics tool and then every facility can decide what is their preference or tolerance or you know their procedure to do that. Some may be very conservative and will not like to move a lot. To do that, some may be very conservative and will not like to move a lot, but many of them can move more.

Speaker 2:

And then what's become interesting is that you can start applying standardization of trays across hospitals, across IDMs.

Speaker 2:

You can have a hospital in a rural area that would like to know what is the best major hand tray out there and you can get them help of saying this is exactly what you need, because we analyze, let's say, a thousand surgeries and this is the set that we have high confidence that is mostly used.

Speaker 2:

So that's kind of where we're going with the OR stats and it's a very exciting product. And when we demoed it in HSPA people thought it was like black magic, right, they just placed the instruments on the tray and it told them what it is and they were just trying to futz with it and trying to, you know, put it quickly, take it away and all kinds of things that make it very playful. But this is exactly the type of user experience we are building. We would like to build a transparent, invisible user experience that does not interfere with your work, that actually just add value, add knowledge, add data to decision making, without interfering with the current processes, because SPD and definitely the OR are a high pressure environment and our goal is to assist. It's not to call more work for these amazing people that work there.

Speaker 1:

I really appreciate you taking the time to answer those questions because there's so many pain points that are being addressed through all the products that you offer, from instrument identification to inefficient tray assembly.

Speaker 1:

You know the lack of real-time instrument tracking, the high cost of over-processing, over-stocking, complexity in staff training, poor documentation there's. It's like Robin Hood shooting the arrow in the air, right. It's like every time you hit an arrow, another one comes right dead center. So I think that all of the products that you guys are offering, and just the having an opportunity to meet a few of your team members and talk to you, just the feeling you get when you, when you speak to layer jot, you always feel like you're, you're number one, they're prioritizing you, so they have great customer care and attention. So I just really appreciate everything that you all are doing for the industry and especially all these pain points that you're really addressing, which is this is something that's servicing sterile processing, and so it's really awesome to see all the time, the attention and how you're really hitting the market right in the heart of something that's really needed. So I think this is just wonderful.

Speaker 2:

I appreciate it.

Speaker 2:

We tried to look at the system, the whole flow of instruments from decon to maintenance to cleaning, you know, assembly, sterilization, setup in the OR, utilization, back to decon.

Speaker 2:

So it's kind of a magic circle, you know, never ending infinity, plus all kind of loaners and other solutions that we can talk about maybe next time.

Speaker 2:

But the idea is that individuals in the SPD have a critical role in this whole process and in order to make sure that the surgeon can take care of the patient outcome, we need to make sure they have what they need exactly in the right condition at the right time, and building a solution that helps individuals on the knowledge level, like seed and then with tray assembly process, and then be able to maybe reduce the trays by 30 to 50 percent so you reduce the time that it takes to process them, reduce the load and maybe allow more people to do inspections and other things that are more time consuming, but people don't have time to do it right now. So all of that needs to be addressed in a systematic way and for the last six years or five and a half years, we've been building the technologies capability that will allow us to support each layer as we go from the static catalog all the way to the OR and yeah, it's been quite a journey.

Speaker 1:

Yeah, and that's really great. Someone's out there thinking right now is what steps does LayerJot take to ensure the hospital data privacy? And, when you think about regulatory compliance, how does LayerJot ensure this privacy through the technology that they have?

Speaker 2:

Yeah, so that's a great question. So we are still doing things around the surgical logistics side. So we are not necessarily. We don't have any patient information stored. Users if they log into the system using Auth0 and some other high-end user management system. So that is all, and all of our technology is running in a secured Google Cloud that meet the highest level of requirements. So all of that is being taken care of. And, remember, you know I've been doing it for a while. We've been building enterprise systems and working in high end companies, so this is what we do. This is not a side effect of a solution that was looking for hosting.

Speaker 1:

It was built correctly from the ground up no, it's great and you have the experience of a different market that's using the technology and just really saw that there's a sterile processing was really a ripe area that needed to be to have the technology brought to. I guess you could say I think that's, that's really good. Now say, for instance, someone's watching or they're listening and they're just mesmerized, like I was, you know, with the eyes that are, you know like they're being hypnotized, right. So you're mesmerized and you're like okay, so where do I start? Say, someone's interested in SID 4.0. Or you know, using the count sheet, ai or even getting into you know, like you mentioned the technologies that allow them to take photos in the OR and see which instruments were used. How do they start the process? Like what's the process for a new customer? Like what's the onboarding of a new customer, and then how would they get in touch with you or your company if they're interested?

Speaker 2:

Excellent. So, first of all, every person can go to our website, larajotcom, and access Seed. You will have links to the app store in which you can download the app, or you can register on the PC on the website. So that's very simple. Just get Seed, start with that right. It's free, no barrier. Just start using it. You can go to the account sheet AI on the website and then we offer a free trial for 30 days so you can register. You can even upload you know three of your. You know the countsheets that you hate the most, your worst countsheets, right or the best countsheets, the bestseller countsheets. You can upload three of them and we will create you a user that you can onboard your team and we'll even put the first three count sheets in the system for you. Later on you will be able to import an ad or you can ask us to build to take all of your old count sheet and put it in the system for you. We are willing to do that, and again just through our website. As for uh or stats, again on the website, there is a waiting list for for some activities there and just contact us and we'll be happy to get back to you.

Speaker 2:

Show you more detailed demos, talk about the technology correct with it, and one of the things that is unique about OR-STAT is that we know that different surgery, different procedures, may have different room sizes, different requirements, different setup. So we are very open to accommodate these different settings. So having a discussion with us, getting us with the OR director or the surgical team, is important for us to be able to understand is the solution we have is the right solution for you and what to expect. And then we usually offer to start with a pilot on a specific surgery that is currently a pain point. We have people who are interested in surgeries that are high volume, like cataract. We have other people that says we would like to start with surgeries that we have a pain point, like ortho, that the trays are very heavy and we would like to reduce these trays first. So it really depends of what is your pain point and then we can assign or build the right experience for you using OR stats. But, jeff, just a website, keep it simple.

Speaker 1:

That's great, that's really great. And then if someone is sitting there with some burning questions and they're just dying to talk to you, how can they reach you? Is there an email? Or can they find you on LinkedIn, or how can they get in touch with you personally?

Speaker 2:

Yeah, just look me up in LinkedIn, connect with me or just contact us through the website. I get access to all the people that send requests through the website and I'll be happy to connect and talk. Like you said, we have an amazing team that works on building the relationship, helping this amazing community to achieve their goal, helping people to develop in this, like you are doing, giving them access to information. We've been working very closely with Beyond Clean, for example, and on Seed. You have access to all the CE credits that they offer. You can use Seed as your podcast app and get access to the quizzes that will gain you CE credits. So we're all about the community empowerment. Just get involved, you know. Learn new instruments instead, Tell us what we're missing, Talk to us, send us count sheets. We really like to get involved with your facility and help people individually as well.

Speaker 1:

That's phenomenal. I'm really excited because this is so great, all this information and all the resources that different ones will be able to get access to. So I really appreciate you taking the time to, you know, to share your company vision and the innovations with us today. On the sterilization station, you've shown us what's possible when you know AI supports not replacing but, you know, using the skills and dedication of sterile processing professionals created some, you know, obviously created some Kaizen, some change for the better, some improvements, and it's really good to see the impact that it's having on cell processing, but then to see how it's continuing to grow.

Speaker 1:

So if today's episode got you thinking how you can modernize your SPD workflows, please check out layerjotcom and make sure you connect with Ete. He's a very likable guy and you fall in love with him right when you meet him. He's really cool. So, please and you fall in love with him right when you meet him. He's really cool. So please reach out to him if you have any questions and let's continue to please share this episode with someone. If you're a coworker, you know someone that you know that's interested to learn about the technologies. Don't keep it to yourself. Please share with your team, your educator or a fellow tech and let's continue to build where technology supports safer surgeries. And of course, we want to make sure we're lowering that stress and still processing and make sure you subscribe to the podcast Sterilization Station. And once again, we just want to thank you for coming on the show today. We really appreciate it. Take care everyone. You guys rock.

Speaker 1:

Thank you.

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