Sandeep Chauhan Presents Definition Health at LSI USA '23

Transcription

Sandeep Chauhan  0:05  

Nice to be at LSI for my first meeting here, so are somebody we are a total digital surgery platform. So my background is I'm a surgeon, I'm passionate about patient care. And that's what's driven our development of this platform. It's been used over 941 different types of surgery, or interventional procedures were revenue generating in 2023, over $3 million of revenue, and over 180,000 patients have used the platform. First compliance. accreditations are deployed in Europe and Africa, and more deploy in America and Australia in q3 of this year. We think about the surgery market for a second, it's enormous. I'm an East surgeon, and in the US, over $26 billion of joint pays will be done by 2027 80 to 90% of those will not be done in hospitals, they'll be done in ambulatory surgical care centers. So the model of care is changing dramatically in America. Look at all surgery, which is what we cover, over $200 billion, just in the US. It's enormous. But there are problems. And as surgeons, we recognize those problems. Our failure to optimize patient's health prior to procedures is huge. It's one of the key things that the American Association of Anesthesiologists focusing on doing patient assessment and optimization at home is a key program for them. Our ability to risk stratify patients, which patients go to an ASC, which patients shouldn't go to an ASC to prevent complications of care. And that's the revenue for institutions through poor coding and our exhausted staff. Wherever you are in the world, we've all been decimated by COVID. And we'll pretty burnt out. But interestingly, if I look at my own specialty orthopedic surgery, over 85% of Orthopedic Surgeons surveyed at the American Academy of hip and knee surgery, do not use digital tools in their practice. It's a huge market. How do we solve the problem? We've ever patient centric app, advanced care management app, which basically tags a patient to an institution, it engages them by allowing their care from the first point of contact, whether it be by face to face or virtual calls and file transfer, via Twitter post operative care, that education, they're consenting process follows by their virtual more than the recovery. The aim is to engage patients, be interactive, collaborate, bring their family and carers into their care program. So they understand what's happening to that care individual. It personalizes their care and prevents travel and attendances to surgeon offices, which is important to avoid time of work in particular, all that data is linked into their institution. So by coming into an institution is then filtered in a very smart way, with very smart workflows to improve efficiency of staff to improve time, which equates to prove costs, optimizes their care, and actually then generates coding information, which improves our reimbursements. Once you've left hospital, you can then virtually follow those patients up if you wish in our virtual Ward, which has been fairly well established. Looking for complications, preventing EDS admissions, which eat into your 90 day billing cycle, we connect the whole pathway to taking data from the first patient visit right through to the end result and shorter long term, whether it be arthroscopic type data, as shown here. Mobile data can also be imported. And all that information goes into a massive data platform. You heard a lot yesterday for a keynote speaker about data platforms, we have over 300,000 datasets. And the key thing is, you don't have to be the University of California. By having your own datasets you can dive in and get surgery specific data about your patients and what's happening to them. You get institutional data about what's happening to your health population and how you should help your health population around your institution. Or you can get pathway control knowing where your patients are within their own pathway. And it's really important because what we then do is we help organizations increase their revenue to accurate comorbidity and saving cost to efficiency. So if a patient comes to see us and our Surgeon offices at the moment, we have very little healthcare information about them when they come to see us, which means when it comes to surgery, all that information has to be collected, it takes time and effort while nursing teams and our PA teams and that cost money. If we fail to identify key comorbidities, massive studies in the US have shown it will increase costs for inpatient care by up to three and a half $1,000 as a big cost of ASC centers. And our failure to code. Big paper bill rates in Florida showed that actually faded to not code 10 Key comorbidities cost up to $2,000. Digital solves that problem because we get that patient information in advance. We can use that information to speed up efficiency, improve optimization, so reduces palliative care. and improve our coding. And if you look at this coding, by us doing our clinical work, well generate those codes in the background, it changes our DRG code. So in this example here, the patient information has been set up. And actually the DRG code from four totally changed to a 470, which generates them $1,000 2469, which is $8,000 more per hospital visit, that's a big increase in revenue for the hospitals. The risk stratification we provide means that at an early stage, you can decide which patients go Tse, which patients are suitable there, which obviously surgeon owns and which ones should actually stay in the major hospitals. So across the entire workflow for the first patient, visit, preoperative care, interruptive data post op virtual Ward and outcome measurement, we reduce face to face appointment and massively increased patient satisfaction. So it's a value proposition for patients is improved communication education, we need to engage our patients and get them better. That's what we want as surgeons, and it improves patient satisfaction. So they return to us and our institutions time and time again. For staff, we are improving their efficiency, reducing their manpower pressures on them, because they're burnt out already and leaving us and we're improving reimbursement of surgeons, whereas for the organizations, that reimbursement equates to improve CPT codes and in producing revenue, reduce costs for optimization and improves patient safety. And we're interoperable with all the major major EMR systems epic Cerner. excetera. So what that produces better value based care. We've also evidence around this, we've improved time save. So in this one study of 5000 patient, we saved over 9500 patient hours of time, two and a half hours, 1000 outpatient episodes, and over $250,000. We improve capacity, we improve efficiency, we reduce costs by using digital effectively non surgical pathways, improve revenue and reduce workforce pressures. And as I said, over 180,000 patients in lots of institutions have benefited. I want you to yours is based on a strategic partnership. This particular one is with think surgical, a US robotics company that will disrupt the US marketplace, not only because they're robotics, because their view about taking the entire digital journey. And having robotics in the middle of it is a distribution agreement and will add a value add to the service. And we continue to look for more strategic partners around the vault robotic a number biotics base, who will add where we add value. Our ask is very simple. We're about to go to series A based on our revenue stream of about $5 million. And that's to fund our clinical patient economic studies here in the US and also facilitate our AI machine learning from our massive data lake and our automation program. Why would you invest these pretty difficult times? Well, the global surgery markets pretty big. It's about $500 billion globally. And we've already established in Europe. We're about to have multiple sites in the US and Australia by the end of this year. We're ready revenue generating and we already have strategic partnerships. So we're well on our way. Physically having a chat I'm around. My contact details are here. Thank you very much for your time.