Transcription
Bryn Davies 0:05
Good morning. Good morning, everyone. As I said, I'm Bryn Davies. I'm chief strategy and business development at Proximie. Delighted to be here. Thank you very much to unassign. The team. I know, Scott was keen dimension about the team. So thank you for everything in making this event. Go ahead. Delighted to be in Dana Point, many of you won't know. I'm delighted to Vieques. My two children, actually my two year old and four year olds, were born nearby, and I lived in Dana Point for a little while. So I've got great memories of being here, I don't have such good memories of the weather, compared to today, you know, it's pouring down. So I think that I might have brought that from the UK. So apologies. On behalf of all the British people here, bringing the weather with us. A great talk at all, thank you so much. There's some elements of that talk that you'll see the parallels through here, it's fascinating around the data side of things. And for the next few minutes we're not going to talk about is maybe things you don't know about Proximie that you can't find on the website, to give you an indication of the direction of travel or organization, or the potential of what we can do. And I do have a slide that says big data. But it's nothing like obviously the datasets that we were talking about, we were educated to buy at all. I'll start with the why Proximie. Fundamental and important I joined Proximie five years ago, when we were seed stage organization, 5 billion people don't have access to safe secure can 18 point 4 million people die every year if you not have an access to safe surgical care. This is more than HIV, TB and Malaria combined. And this isn't a problem that is somewhere else in the world. So problem that happens here in the US, the variation in surgical care across the UC system, for example, in California, is market in the UK is the same. So this isn't a problem that is somewhere else. It's a problem that exists right here right now. And in the US, you're twice as likely to die from a long bone polytrauma fracture in the worst performing hospitals than you are in the best performing hospitals. So why is that and this really drives a motivated us over the five year period that I've been here I'm I'm beyond when Edina surgeon and founder started Proximie 2016. So let's touch quickly on what we are, we're a digital health tech platform that enables us to record and analyze everything that happens in the operating room. So we have 1000s and 1000s 10s of 1000s of videos, audio for video streams from the operating room that were able to look at and analyze and understand why there is that variation in care. And we enable that for those health systems that we work with, to enable them to look and ask those questions. That's what was mentioned earlier, some of the simplest questions about why these things happened to drive that variation in care. And one of the underlying principles approximately, there was software first organization. I know many of you out there, and I've come from the medical device industry looking at hardware and how that goes into market for us. When I joined Proximie, five years ago, I sat within the dean, founder and CEO spoke about how we need to be software first. And the reason that that we need to be software first is for these three core elements. One we can analyze and look at and improve quality quickly. For us. A table stakes for us in our industry is that unparalleled quality of video and audio that happens in the operating room. We have four live streams that are recorded and stored and have the ability to then analyze that quality needs to be unparalleled. Rather than me telling you about that quality. We've got a video later on to show you that in action. Innovation. Being software first enables us to innovate quickly, we can move quickly, we can iterate and react to that marketplace. Being software first enables us to bring new products and market new iterations that will benefit everyone in terms of what we do. So we're not tied to that, that comes in everyone's of hardware, and integration. For those who are hardware. First, what we look at in terms of our partnerships, is work with those with integrated OR companies with robots that might be multimillion dollar robots and integrate our software into the hardware to enable them when they're launching a new or launching new products or services through hardware devices, we can connect those hardware devices provide you with cameras and video and audio and actually understand the utilization of those hardware devices within the operating room so you can connect and understand exactly what's happened and when it's used and why we're a global platform. We're accessible globally. And for us, we're looking at how we can harness this data that we spoke about. But enough regarding the technology, the tendency and the temptation is to talk about the technology. But as you know, healthcare is human, it's less focused on the patient. We did the survey of 1000s of individual patients to ask them what their thoughts were around surgery, and their anticipation of having surgery and if they've got any concerns. And one of the things that came as a bit of a surprise to us is the 50% datas point point there. The 50% of respondents actually said that they would pay for the recording of the surgery. So we asked them why why why would you be interested in a recording of a surgery? What what is it that drives you in that? In that sense? There are two primary reasons for it. One, if I'm having a surgery done on me, that's a moment in time that will benefit me as an individual, but why would not be recorded so everyone could benefit from it. Other people could learn could understand could you could teach and provide a bigger benefit than just for me personally. The second one was actually even more surprising about engaging family. I can other people can dial in and see how that surgery is progressing. They can answer why It started when it's finishing and how it's going. So there was two key elements as to why they might pay for it. We didn't ask them yet how much they pay for it, or how often they pay for it. But we're certainly following up with that sort of mass look at the patient said, but I want to touch on just an individual example of patients when we've gone back to them. This was surgery that was done. A knee surgery was done last week, as a robotic knee surgery, primary care, primary surgery for that patients are really what the patient said their incident is having it recorded, having it streamed live, they wanted to record it for the education, training, the opportunity that the people can have. But really importantly to this patient, they wanted to stream it to the to his daughter, who was traveling to South Africa at the time. So his daughter couldn't be there for the surgery was really concerned about it. And she's a clinician, so she actually dialed in via her laptop when she was in Heathrow in this example, before flying to South Africa, and then join via the mobile mobile app to watch the full screens of surgery happened. I'm able to communicate with the surgeon communicate with what was going on. And she did it from a plane, you know, on the plane, just for takeoff. We've actually done it when she was in flight as well. But she doesn't take a photo of that. So just shows the accessibility approximately. So just to show you what that content looks like when you record it, and what it looks like for the user. As you can see, the video will be playing on the right hand side. And one element to it is that you can record these four surgeries. And when we've got this rich data set, people can edit tag share a link to the EHR and understand what that means in terms of the data set. They have. Incident again, we were spoken and mentioned chatGPT, what people entered in is also the the audio transcript of what happens in surgery, and understanding how that potentially could automate to create op notes. And that can link with the EHR. And you can automate these things. We did some D identification tests with with some op notes to see if it can be created this remarkable what rate chatGPT was able to produce. And we did some testing on the quality, again, qualified with the biases that potential there. So we're qualifying those things as we go forward. Again, healthcare being human, let's focus on the evidence we've heard from article about real world evidence, the important on it of it, I've been surgeon led and funded by surgeon clearly have an evidence of what we do is really important in health technology and the digital health technology space. So here are just some of the real world evidence, some of the clinical evidence that's been shared most of it independently, Proximie, and published in a number of different journals. With by far and away in terms of our markets, the only one or certainly the majority one, they've done a majority of these cases or done this research, and others haven't. So talking about software. First, I'm delighted to announce and share with you is another LSI alumni, EndoQuest an announcement we are partnering with them and many others he robotic companies to help them bring the technology to market. So when they deploy their robot in the field are able then to understand how it's used, when it's used, why it's used. What happens when it goes well, and maybe less well, and how they can develop the next technology going forward as well as educating the individuals are using it can educate themselves and others in the process of doing so. So I'm just going to show you a video, proxy and action so you can see what it looks like across a different lots of different types of robotic surgery. Just so you're aware, as it plays, all of these videos are captured either natively from the device itself. So we put that native feed from the device itself. So you can see it in real times that accentuates the quality, or we provide supplementary cameras to be able to capture it's a wireless little small cameras that you can clip on and people can observe and understand and interact with that content. And here you can see just a couple of examples in the robotics field. We do also work across multiple different surgical specialties and Interventional Suites globally. So it's not just in robotics, I just want to share with you the potential example of what we do. I won't touch too long on this because I don't know clearly as much about big data, as we've heard already. But to touch on the fact that with all of these videos, and recording and content that we have out there, there's a huge potential for that data to be used and fed back to the ecosystem. So healthcare professionals themselves can benefit and bring insight to the patient not only to what happens in surgery, but what happens preoperatively and postoperatively really providing that data that empowers everyone. For us the final message on this slide on this slide before my last one is we're a global company and the importance of a global data set to enable us to educate ourselves fully. So we don't have those biases. It's clearly one of the distinct premises of why we exist and what we stand for. That variation in surgical care happens globally as it is here. So for us, we're proud that we're in over 50 countries and over 900 locations work into to continually address that mission that we have, but we know we can't do it together. We mentioned earlier just using the exact same phrase that actually used in the opening opening speech is around being stronger together. So we're We're always open to discussions about partnerships, whether it's a new technology coming to market, whether it's a software play, whether you perceive us as being a competitor or not. We'd love to work with you see how we can all solve the problems on a global basis. So thank you very much. Really appreciate it. Have a great rest of the trip and hope the weather dries up forever. Thank you so much.
Transcription
Bryn Davies 0:05
Good morning. Good morning, everyone. As I said, I'm Bryn Davies. I'm chief strategy and business development at Proximie. Delighted to be here. Thank you very much to unassign. The team. I know, Scott was keen dimension about the team. So thank you for everything in making this event. Go ahead. Delighted to be in Dana Point, many of you won't know. I'm delighted to Vieques. My two children, actually my two year old and four year olds, were born nearby, and I lived in Dana Point for a little while. So I've got great memories of being here, I don't have such good memories of the weather, compared to today, you know, it's pouring down. So I think that I might have brought that from the UK. So apologies. On behalf of all the British people here, bringing the weather with us. A great talk at all, thank you so much. There's some elements of that talk that you'll see the parallels through here, it's fascinating around the data side of things. And for the next few minutes we're not going to talk about is maybe things you don't know about Proximie that you can't find on the website, to give you an indication of the direction of travel or organization, or the potential of what we can do. And I do have a slide that says big data. But it's nothing like obviously the datasets that we were talking about, we were educated to buy at all. I'll start with the why Proximie. Fundamental and important I joined Proximie five years ago, when we were seed stage organization, 5 billion people don't have access to safe secure can 18 point 4 million people die every year if you not have an access to safe surgical care. This is more than HIV, TB and Malaria combined. And this isn't a problem that is somewhere else in the world. So problem that happens here in the US, the variation in surgical care across the UC system, for example, in California, is market in the UK is the same. So this isn't a problem that is somewhere else. It's a problem that exists right here right now. And in the US, you're twice as likely to die from a long bone polytrauma fracture in the worst performing hospitals than you are in the best performing hospitals. So why is that and this really drives a motivated us over the five year period that I've been here I'm I'm beyond when Edina surgeon and founder started Proximie 2016. So let's touch quickly on what we are, we're a digital health tech platform that enables us to record and analyze everything that happens in the operating room. So we have 1000s and 1000s 10s of 1000s of videos, audio for video streams from the operating room that were able to look at and analyze and understand why there is that variation in care. And we enable that for those health systems that we work with, to enable them to look and ask those questions. That's what was mentioned earlier, some of the simplest questions about why these things happened to drive that variation in care. And one of the underlying principles approximately, there was software first organization. I know many of you out there, and I've come from the medical device industry looking at hardware and how that goes into market for us. When I joined Proximie, five years ago, I sat within the dean, founder and CEO spoke about how we need to be software first. And the reason that that we need to be software first is for these three core elements. One we can analyze and look at and improve quality quickly. For us. A table stakes for us in our industry is that unparalleled quality of video and audio that happens in the operating room. We have four live streams that are recorded and stored and have the ability to then analyze that quality needs to be unparalleled. Rather than me telling you about that quality. We've got a video later on to show you that in action. Innovation. Being software first enables us to innovate quickly, we can move quickly, we can iterate and react to that marketplace. Being software first enables us to bring new products and market new iterations that will benefit everyone in terms of what we do. So we're not tied to that, that comes in everyone's of hardware, and integration. For those who are hardware. First, what we look at in terms of our partnerships, is work with those with integrated OR companies with robots that might be multimillion dollar robots and integrate our software into the hardware to enable them when they're launching a new or launching new products or services through hardware devices, we can connect those hardware devices provide you with cameras and video and audio and actually understand the utilization of those hardware devices within the operating room so you can connect and understand exactly what's happened and when it's used and why we're a global platform. We're accessible globally. And for us, we're looking at how we can harness this data that we spoke about. But enough regarding the technology, the tendency and the temptation is to talk about the technology. But as you know, healthcare is human, it's less focused on the patient. We did the survey of 1000s of individual patients to ask them what their thoughts were around surgery, and their anticipation of having surgery and if they've got any concerns. And one of the things that came as a bit of a surprise to us is the 50% datas point point there. The 50% of respondents actually said that they would pay for the recording of the surgery. So we asked them why why why would you be interested in a recording of a surgery? What what is it that drives you in that? In that sense? There are two primary reasons for it. One, if I'm having a surgery done on me, that's a moment in time that will benefit me as an individual, but why would not be recorded so everyone could benefit from it. Other people could learn could understand could you could teach and provide a bigger benefit than just for me personally. The second one was actually even more surprising about engaging family. I can other people can dial in and see how that surgery is progressing. They can answer why It started when it's finishing and how it's going. So there was two key elements as to why they might pay for it. We didn't ask them yet how much they pay for it, or how often they pay for it. But we're certainly following up with that sort of mass look at the patient said, but I want to touch on just an individual example of patients when we've gone back to them. This was surgery that was done. A knee surgery was done last week, as a robotic knee surgery, primary care, primary surgery for that patients are really what the patient said their incident is having it recorded, having it streamed live, they wanted to record it for the education, training, the opportunity that the people can have. But really importantly to this patient, they wanted to stream it to the to his daughter, who was traveling to South Africa at the time. So his daughter couldn't be there for the surgery was really concerned about it. And she's a clinician, so she actually dialed in via her laptop when she was in Heathrow in this example, before flying to South Africa, and then join via the mobile mobile app to watch the full screens of surgery happened. I'm able to communicate with the surgeon communicate with what was going on. And she did it from a plane, you know, on the plane, just for takeoff. We've actually done it when she was in flight as well. But she doesn't take a photo of that. So just shows the accessibility approximately. So just to show you what that content looks like when you record it, and what it looks like for the user. As you can see, the video will be playing on the right hand side. And one element to it is that you can record these four surgeries. And when we've got this rich data set, people can edit tag share a link to the EHR and understand what that means in terms of the data set. They have. Incident again, we were spoken and mentioned chatGPT, what people entered in is also the the audio transcript of what happens in surgery, and understanding how that potentially could automate to create op notes. And that can link with the EHR. And you can automate these things. We did some D identification tests with with some op notes to see if it can be created this remarkable what rate chatGPT was able to produce. And we did some testing on the quality, again, qualified with the biases that potential there. So we're qualifying those things as we go forward. Again, healthcare being human, let's focus on the evidence we've heard from article about real world evidence, the important on it of it, I've been surgeon led and funded by surgeon clearly have an evidence of what we do is really important in health technology and the digital health technology space. So here are just some of the real world evidence, some of the clinical evidence that's been shared most of it independently, Proximie, and published in a number of different journals. With by far and away in terms of our markets, the only one or certainly the majority one, they've done a majority of these cases or done this research, and others haven't. So talking about software. First, I'm delighted to announce and share with you is another LSI alumni, EndoQuest an announcement we are partnering with them and many others he robotic companies to help them bring the technology to market. So when they deploy their robot in the field are able then to understand how it's used, when it's used, why it's used. What happens when it goes well, and maybe less well, and how they can develop the next technology going forward as well as educating the individuals are using it can educate themselves and others in the process of doing so. So I'm just going to show you a video, proxy and action so you can see what it looks like across a different lots of different types of robotic surgery. Just so you're aware, as it plays, all of these videos are captured either natively from the device itself. So we put that native feed from the device itself. So you can see it in real times that accentuates the quality, or we provide supplementary cameras to be able to capture it's a wireless little small cameras that you can clip on and people can observe and understand and interact with that content. And here you can see just a couple of examples in the robotics field. We do also work across multiple different surgical specialties and Interventional Suites globally. So it's not just in robotics, I just want to share with you the potential example of what we do. I won't touch too long on this because I don't know clearly as much about big data, as we've heard already. But to touch on the fact that with all of these videos, and recording and content that we have out there, there's a huge potential for that data to be used and fed back to the ecosystem. So healthcare professionals themselves can benefit and bring insight to the patient not only to what happens in surgery, but what happens preoperatively and postoperatively really providing that data that empowers everyone. For us the final message on this slide on this slide before my last one is we're a global company and the importance of a global data set to enable us to educate ourselves fully. So we don't have those biases. It's clearly one of the distinct premises of why we exist and what we stand for. That variation in surgical care happens globally as it is here. So for us, we're proud that we're in over 50 countries and over 900 locations work into to continually address that mission that we have, but we know we can't do it together. We mentioned earlier just using the exact same phrase that actually used in the opening opening speech is around being stronger together. So we're We're always open to discussions about partnerships, whether it's a new technology coming to market, whether it's a software play, whether you perceive us as being a competitor or not. We'd love to work with you see how we can all solve the problems on a global basis. So thank you very much. Really appreciate it. Have a great rest of the trip and hope the weather dries up forever. Thank you so much.
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