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SEASON 1, EPISODE 20

AI-Powered Digital Health for Senior Living

December 16, 2022
Amber Bardon and Tiffany Naticchioni

In this episode of Raising Tech, our host Amber Bardon has a great conversation with Tiffany Naticchioni at CarePredict to talk about enabling quality care, anywhere, through an AI-Powered digital health platform.

Learn more about CarePredict's all-in-one, industry-first risk identification solution for senior living, and how they are empowering communities to deliver better care with proven results.

Raising Tech is powered by Parasol Alliance, The Strategic Planning & Full-Service IT Partner exclusively serving Senior Living Communities.

Amber:

Welcome back to Raising Tech. This is your host, Amber Bardon, and today we're talking about a topic that I'm actually really excited about. I've been really looking forward to this interview and this conversation. On today's episode, we have Tiffany Naticchoni , hopefully I said your last name correctly. And she is a Regional Director of Sales for CarePredict. Welcome to the show, Tiffany.

Tiffany:

Hi, Amber. Thank you so much for having me. I'm excited to talk about the CarePredict technology and all the ways for innovating the senior living space.

Amber:

I wanna tell the story really briefly about how I first heard about CarePredict, because I was actually not aware of your product. And I've done ,, several conferences at , local leadingage states over the year about innovation and technology, resident technology , technology, strategic planning, that type of thing. And one of the things that I talk about is new technology design and new construction. And I actually had an attendee at one of the conferences bring up CarePredict because we were talking about innovation and emergency call responses and how there hasn't been a lot of change in that industry. And somebody brought up your company and I think from there we connected with you. And I'm just really interested to hear about what you're offering and what you're doing in this space. So can you tell us about what CarePredict is?

Tiffany:

Yeah, absolutely. So , so we are an AI technology platform. very technical, lots of features. but what we've done is we've , we've been built out to empower caregivers to provide better care for our seniors. we're on a mission to , drive a purpose built company built for , built from our , CEO and founder Satishmo's very personal need to take care of his aging parents. and he was also the successful founder of , a couple of other healthcare technology software platforms in the past. So he built us out. so all of the technicals involved, like you had already mentioned , um, call system, fall detection is another. Um, all of these point solutions that our senior living communities are shopping for and looking to upgrade and update and , they're looking for solutions that are meeting the needs of the current and, modern operation. Right? And we're facing staffing shortages. We're facing occupancy issues. quite frankly, our staff just need an easier experience at work, right? So we've built our, our platform out to be easier for the end user experience for our caregivers. And we started basically focused on health insights in the congregate living setting. And then we evolved significantly to detecting falls through all of this. We're reducing falls, unplanned hospitalizations , um, increasing the length of stay and of course improving the staff response times . So we do all of this through a wearable device called a Tempo that's worn on the dominant wrist, and it's going to , um, have some gesture recognition. Um, so it's going to detect like activities of daily living , um, walking , um, brushing teeth, brushing hair, eating, all of those different activities and behaviors. Um, and also it has , real time location information in it, which allows , the AI platform to, to provide data to the operators, the caregivers on, you know, what activities are our residents and staff engaged in every day , and what type of utilization are our , um, residents and, and caregivers experiencing each day. so are wearable unobtrusively, and in the background collects data on activity behavior.

Amber:

That's a lot of information. Let's , let's unpack and dive into that a little bit more. So I wanted to mention, you know, before we get into what some of these different offerings are that you just mentioned, I wanted to bring up sort of a , a case in point about what you just described. I was working with a client on , uh, new construction technology design, and we were specifically researching and looking for a solution. Like what I found out later that CarePredict has, and the conversation I was having with this client is, you know, we're building a brand new building and we need to put in emergency call, we need to put in technology for life safety, but why does all of this technology look like it was made in 1980? And we don't wanna be giving residents things that look like, you know, pieces of plastic that are yellow and not attractive, and we don't wanna be putting devices on the walls that look like they were made, you know, several decades ago. And I think there is an importance on the visual aspect and the design of the devices. So can you talk a little bit about that and how CarePredict has approached that problem? And then can you dive a little bit more into maybe specifically to start with just the emergency call and the wander product that you have?

Tiffany:

Yeah, absolutely. So I'll touch on all that and I'll start with the caregiver's experience using the product. So when we talk about modernizing technologies that they are using every day , we all know you and I know if , you know, if we're using a, you know, a DOS system to do our job every day , we're probably going to be less efficient, right? We're probably not going to enjoy the process. It's just not modern, right? So the design of our product is focused , on being user friendly to the person who's using it, right? Our product is a dashboard displayed on a smart or mobile device , that your caregivers would use to take alerts and also see location , um, and interact with the , software on the dashboard. so number one, they're , they're using a mobile device on their shift, right? So m walkie talkies , and then the staff or , so the residents are then going to be wearing a, a wearable on the wrist that looks much like what their caregivers are already wearing, such as the Apple Watch or the Samsung Watch, or the even Fitbit style wearables. So the residents are actually adopting these a lot faster. In addition to , the staff members who are okay with wearing these in the sense that they are very modern looking, it's a small, sleek design. the, there's one piece of technology that we use , for the , location information, and it's a beacon, right? The beacon and the tempo are both battery operated . so there's no infrastructure needed as far as electricity or , or ethernet. It's all wirelessly operated. very easy to use and maintain, no construction needed. So , um, the stigma of a pendant, right? So pendants are currently what are being used for call buttons , in most congregate communities. And so the stigma of a pendant can make a resident feel as if they are institutionalized. And so CarePredicts mission was to empower the dignified care and to reduce that, that stigma or , to make their residents feel at home because quite frankly, these are their homes most times. And so using technology that looks like the technology that the rest of the population is using is very important to our design.

Amber:

So can you walk me through what exactly can be done from that device? So can you maybe describe what it looks like? I know you mentioned a Fitbit, if you, you know, does it look like that, like an Apple watch? And does that device, does it have the capabilities to do all of the different things you mentioned with the falls technology the wander guard , the location management, things like that?

Tiffany:

Yeah, absolutely. So , the technologies that operators and caregivers are using and shopping for these days are the, you know, the laundry management systems, the fall detection, the two-way audio , um, and the staff communications devices. So what we've done is we have built out our own platform , um, that provides these four things and more, and I'll go through the extra features , um, but to , to start at the top with those essentials that operators and caregivers are using every single day. so what, what does the device do? So , it's not a touch screen . Like we may equate like our , like our generation uses, um, like on the Apple Watch, it's not a touch s creen, and that's on purpose, right? Because there are dexterity issues, there are visual issues. the device that's w orn on the wrist t o the tempo, it's, built. It's just, it's a black square much the size of an Apple watch. we compare it to that often because it just is very similar. it's not an Apple watch. It could , it collects much of the information that the , uh, that those devices, those other smart wearables might heart rate activity level. it'll detect falls because it has sensors on board that will, that will do that. It'll detect acceleration , and , humidity sensing and all of these different pieces of technology that , that other , folks in the population are wearing. but it d oesn't specifically for the senior living setting. So focusing on call buttons, right? So the face of the tempo wearable has a button. So if a resident presses the button, just quickly, it's actually going to read the d ate, the date and the time. And then fourth, it's going to tell the battery level of the tempo. so it's always possible to know what, what the battery level is there. and the battery is swapable and we'll get into to that technical , in just a few, but I wanted to mention that because it allows for 24/7 wearing , and so that's going to , the call button's going to connect to a caregiver in the mobile device that they're carrying. And so that mobile device is going to be, we're agnostic to which device you choose for your staff. but it's going to show an alert on the screen much like your caregivers are used to when they accept a text message or a phone call, right? so they're gonna open up two-way audio with their resident, and this is the most innovative in the space because no other wearable is doing everything we're doing and providing that peace of mind to the resident to be able to speak with their caregiver immediately, right? What this does for the caregiver is it's allowing them to prioritize their calls. So it is no mystery if you've ever been in a senior living community that at any given time, a caregiver has 10 things going on at once. Right? so this allows them to triage their calls , um, and prioritize their work.

Amber:

One of the things I imagine people listen to this podcast are wondering is that an investment in emergency call system or a call system or , uh, pendant system, things like that. It's a pretty big investment. So if, if a community has recently made that investment or they're not interested in reimplementing that, do you integrate with existing systems or can you talk about what would be the use case in that scenario?

Tiffany:

Absolutely. So we are , we are integration ready and we're interoperable with other technologies as well. So in, in most cases where we use this is say , a, a operator has , pull cords and they wanna keep those pull cords in the community and they, they wanna keep the existing program, those are on. but they wanna use CarePredict primarily. this is specific in the case of , when you have a CCRC community , and you have a skilled nursing setting, and then you also have a assisted living, independent living. Well no doubt the, the uses and the operations are very different. but to unify across one platform, we pull those alerts from the , say the pull cords to the Care Predict platform. So, the caregiver, the end user is going to have the very same experience , despite having multiple softwares , pushing the alerts, they're going to receive the alerts on one platform.

Amber:

Okay . Got it. That makes sense. And I know you mentioned earlier that these devices are dependent on wifi . So can you talk a little bit about what you're looking for a community to have prepped or what should they know before they would be looking at a solution carepredict?

Tiffany:

Yeah, so we are wifi dependent, and that is , that's been built out for the , uh, the, you know , the operator who's focused on having a lower infrastructure. You mentioned, you know, in a construction planning setting , you we're looking at infrastructure, right? Electrical happens very early on when you're mapping out low voltage electric for , for , a call system that's reliant on the low voltage , you're gonna have to map that out with electricity and wiring and all of these things. Carepredict runs on wifi exclusively. for the very purpose of it being a simpler design, no need to map those out, no need to spend the extra , um, cash flow capital on that. w e, our infrastructure is built to be easy to use and there is no it, p rofessional requirements to, t o live on s ite as far as, y ou know, you don't have to have, an IT person to manage your system. Your end u ser's really going to be the driver of the, the input in addition to the most significant driver of the input is just, just simply the residents and staff wearing the wearable, c uz it's gonna collect all of the information.

Amber:

Got it. That makes sense. And yeah , this, this is in line with something that I say at all the , conferences that I present at is that wireless is definitely sort of that, that core system we wanna have in place when we're doing new technology design or new construction , to make sure that systems like this are able to be implemented and , for the community to be innovative. I wanna go back to in the very beginning of our conversation, you mentioned that Care Predict is an AI system. Can you explain what that means? Cause I feel like we hear the term , AI a lot and it can be used in a lot of different contexts. So can you just dive into that a little bit more?

Tiffany:

Yeah. The AI I involved in when we're talking about Care Predict is , um, we're using activity based information. We're, we're pulling data , from multiple different sensors and locations and , you know, folks who aren't very technologically, you know , savvy or literate, you don't have to be to, to really understand the background of it. We're just pulling a ton of different information and we're putting it all together in algorithms that are producing a consistent data result. And these data points are allowing , um, for easier operation. So for example, when we're talking about , UTI prevention or detection or prediction, right? the data points that are being pulled through the care predict system would be , um, how frequently does the residents visit the restroom, right? And so this, this could be , uh, the restroom, whether it's in their unit specifically or if they're in a , a different level of care, if they're using the , the public facilities, doesn't matter, the system's gonna pull the information frequency and duration of when that resident is interacting in with a bathroom location, right? So , it can be , it can be assumed that they're using the bathroom when they're in there, right? We even have a, detection on dwelling time . So if the dwelling time in the bathroom is , um, longer than the predetermined range , say 15 minutes, right? There's going to be an alert that can be sent to caregivers to indicate that the resident is, has been toileting for far too long. They may need some assistance, right? And that alert will be driven directly to a caregiver. and on the screen you would see , the caregiver would see the name and the location of the resident, the location right down to the room.

Amber:

Got it. Yeah, that's , that's really interesting. Is there, do you know, is , I'm just curious, I dunno if you're allowed to say this , are there other products in the marketplace that have that capability?

Tiffany:

So there are different products that do sensing, ambient sensing very, very well, and they should , um, our product follows our resident throughout the entire community. So yes, there are technologies that do , um, sense or , um, or monitor remotely the bathroom usage or, or the ambulation or, or different activity movements. what is unique about ours is we baseline the information. So we take the information after a resident has worn our Tempo device for , uh, greater than two weeks , um, they're going to get a baseline established, right? And then every , four weeks, the baseline is calculated as a rolling baseline. So we know how often Jane Doe frequently uses the restroom. We know that it's typically five times a day. What the AI does in this scenario is it's going to detect when they're outliers and then it's going to , push a report through to the caregivers and management to say, Hey, Jane Doe and, you know, these X amount of other residents are outside of their baselines , for this, this week , the past two days, past month, right? So these reports are gonna be pushed to the caregivers. and this is a very attractive feature because they don't have to go searching through medical records to find out , um, exactly what behaviors have gone on, what activity has gone on. This is what keeps our residents in their, their place longer. It allows them to age in place and reduce their hospitalizations. Um, as we know, those can tend to be factors that, that pull them outta the community permanently or it can bring them back into the community with other issues. or just simply the disruption of of them leaving the community can be , um, pretty significant to , a resident and the community both.

Amber:

Yeah, that's really interesting. Are you able to integrate with the electronic medical record system so that all of that , health information could be pulled into one place?

Tiffany:

Absolutely. Absolutely. Operators are asking for , demographic information for that census based billing , for live and real time information to be transferred through. Um, and we are actually, yep , we're in P'S marketplace , matrix Care, e t c etera. So we have an open internet api. we are willing to integrate if, if the other party is. So we're very proud of that. That's been s uper, super helpful for that interoperability, reform in h ealthcare, which is so necessary.

Amber:

Yeah, that's really fantastic. I think it's been an issue in this industry for a really long time to have so many disparate systems and the inability of those systems to talk to each other, to really give us this more complete picture to the residents health for better quality of care overall. So I think it's really exciting to hear that you're able to do that and to just take us a little bit closer to that, you know, ideal world in which we can have essentially managed location for everything to do with the resident.

Tiffany:

Absolutely. Yeah. And , and that's our mission. We're we're here to provide that easier experience for the end result being so that everyone benefits.

Amber:

Yeah. So one of the things I wanna ask you about is , I'm , I'm curious to hear what are some of the common challenges that you, you have heard from your clients? And specifically I wanted to go back to what you mentioned earlier with the device and the battery. And I know I've heard some concerns from some of the people I've talked to about the , you know, kind of how that works. Could you talk about that a little bit?

Tiffany:

Yeah, absolutely. And , and that is a valid concern. I would say I hear from most prospects. They , they ask, help me understand this battery change because all my caregivers are hearing is one more thing to do, right? And that can be triggering or buzzing. when you have caregivers who's , you know, quite frankly, their hair is on fire, you know, as we speak, like I said before, at any given moment, they have a thousand things to do, right? so Care Predict is focusing on putting the care back into the caregiver's hands and allowing them to prioritize it and give it in the best way possible. So when it comes to the battery changes, so the battery and the tempo, and then the battery and the location Beacon are both , they're both changeable. So the, I'll talk about them respectively. The Tempo Battery has a 24 to 36 hour wear time , right? Depending on how much the resident is using it. I know when I got my Apple Watch, I was, I was surprised by , how long it would last if I didn't take a phone call on it, right? and the utilization definitely correlated with the li the duration of the battery. So , um, same goes with our device. The reason we have the Swapable battery, like I mentioned before, is to allow that 24 7 monitoring. So with all of that being said , it's being a very popular question. any of my customers would agree that it's a non-event to change these batteries out. It simply pulls right out of the side of the tempo and gets replaced with a full battery. Each tempo comes with a duo battery charger, so they come with two batteries. and then of course, caregivers have a, they have a , plethora of, of charged full batteries too, and they have , um, chargers at their stations or wherever they choose to put it in the community. So there's not typically a shortage of charged batteries. The caregivers find that it's a non-event to swap these out, so they're able to build it into their workflow . They're already touching residents at least once per day. so it's an easy task to add on. They can also, if they're interacting with a resident, they can also press the tempo button, like I said, that one time and get the date, the time and the battery level. Also, the third precaution that we've taken is on the caregiver's device, on the home screen of their CarePredict platform, they're gonna see two little options. And one of those is tempos not worn, and it's gonna show the number of tempos that are not being worn at the current moment. So it's always on the dashboard , that the caregiver can access of who isn't wearing their tempo. And that list can even provide qualified information on, well, maybe you have two non worn tempos. Well, maybe those are both out of the community at this time, and that's why. So , um, that's one report. And then the second report is the battery life. So the battery , report and status shows all of the battery levels . So as long as the tempo is being worn and it's online, it's going to report back to the system, tell the system the battery level. So with that being said, you can get alerts scheduled when the battery gets to be too low. So say you have 10 residents with a battery that's on yellow, you have five hours to replace these. Um, typically it's able to be built into the workflow .

Amber:

Okay. That makes sense. Are you considering doing a chargeable battery in the future?

Tiffany:

So the , interestingly enough, so I'm not, I'm not building the product out by any means, but I know that this is a pos or it's a hot question because we don't want to add any work to our, our caregivers, right? So this is essentially the only maintenance task involved since our system is picking up all of the information that it needs to based on just being worn . so to answer your question, I don't know what's in the, the pipeline for that other roadmap . but I can say that the function for 24 7 wearing is at the forefront. So that is the priority right now.

Amber:

Okay , got it. Are there any , one thing I always like to ask , vendors or partners who come on this show is, are there any specific clients that you've worked with or any success stories that come to mind that you can share?

Tiffany:

Yes. Yes, absolutely. So , we actually have a , a local CCRC here in Cincinnati , where I'm from, and they have, they've established care predict across their, their continuum of care, and they, they're finding value in each level. a little bit to build on the last question you asked about , challenges that we see. and then to add that to the success story , um, in this specific situation, we had a resident who , um, who wasn't bought in to care, predict upon initial installation and implementation , didn't like it, didn't wanna wear it. and this is representative of personalities who just simply feel like they don't wanna wear it. And, and we have those. And so that's, that's no mystery, and it both certainly is something that, that can be overcome. so this specific community I'm mentioning, they had , a guy who didn't wanna wear the wearable, didn't agree, didn't, didn't see the benefit of it , just hearing, you know , um, the , the original pitch, so to speak. He actually experienced a fall , um, a couple days later after the Care Predict system was implemented. And , he realized how valuable the care predict , wearable would have been for him , how , much quicker he would've been discovered, and how much he , he could have gotten care sooner. and not to mention he could have been in communication immediately with a caregiver who could have come and helped him. but unfortunately he didn't. and he, he suffered a little bit, he's okay now , wasn't, wasn't a significant event, but he's okay now. but he immediately saw the value in that and, and adopted it immediately. So , I don't believe he's had any subsequent falls since then , that were undetected, but the Tempo device is definitely seen as a safety feature, and it's worn. It's the only device that goes with the resident everywhere in the community. So he definitely saw the value in having that on him at all times.

Amber:

Yeah, that's a , that's a great example. Tiffany, everything we've been talking about is so exciting, and I just love that this type of technology is coming to the industry. Can you share what is in the future for CarePredict what are you working on in the next 12 months?

Tiffany:

Yeah , so I'll, I'll, before I go in , into what we're working on, what's going on in the future, I'll say a few of the things that I haven't mentioned yet. as far as features go , um, the, the device, the Tempo device is able to collect data through Bluetooth. So that's something that we historically were working on and finally released recently. So , there we have some approved devices that , can feed information directly into the tempo and thus pushing it into the ADL activity. So example being, you know, a Bluetooth glucose meter or a Bluetooth blood pressure cuff, can, can these feed readings into the tempo? The answer now is yes. so that's an exciting , uh, growth feature that we've had this year. so it , we're allowing, we're , we're creating baselines, right? So every time a resident is recording their blood pressure or their glucose or their weight, right, these are now being pushed into the system to, to receive a baseline and then also detect detects changes and degradations and alerts the caregivers through that. that the changes and , degradations, or , sorry, degradations , report. So we called that the out of baseline report. So that's been a, a huge feature that's been new recently. Another new feature , is called Care Voice. care Voice is where we're able to set reminders for our residents , um, in the voice of their choice, right? So maybe it's their, their grandchild or their family member who wants to say, you know, at 4:00 PM every day the recording goes off and says, Hey mom, you know , it's time to take your meds. Or, Hey, grandma, don't forget to go walking today. so that's a huge popular feature now too . Um, we are also able to open up electronic door locks as a key fob. So instead of a resident more in the independent and assisted realms, instead of them carrying that key fob or that key card or , um, where that could potentially get lost, or it's simply just one more thing to carry, we're taking that off their plate and we're, we're putting the key fob feature inside of the Tempo wearable so they can open up their unit door with their tempo. That's been a huge sticking point for our independent living residents. and also passive check in for independent living residents. They're able to simply wear their tempo. and then an exception report is sent to , the caregiving staff to let them know who has moved around, who has not moved around yet today, and, and maybe they need to be checked on. so those are just a few features that I hadn't mentioned yet , that are pretty popular. But as far as what's coming next , um, we we're seeing some quality of life assessments and scores. in the future. Automated voice prompted assessments, so much like our care voice with a reminder , um, our care voice couldn't , could prompt a , an assessment to ask, you know, scale of one to 10, how are you feeling today? Or , or, or , um, or any, any subjective information that needs to be collected , could be done that way. We're also looking to detect early signs of mci. The mild cognitive impairment, as we know, is a prelude to dementia. So we're looking at , cognitive impairment scoring and detection , um, sleep phases, duration, or even having some hardware evolution, so cellular and GPS detection for the residents when they're outside of the community. So we think in the independent living space , um, these folks don't stay at the community all the time, right? So , you know, if a fall is detected offsite , um, the caregivers are able to be alerted. And and that's a huge feature , um, that's, that's popular with the independent , population these days. We are looking at FDA approval that should come in the next year. Um, we're really, really excited for that as it'll give, you know, that validation and that benchmark of, you know, how accurate our, our technology is. so that's really exciting. Um, and then of course , continuous measurements on automated gate , stride length , et cetera . We are committed to meeting the needs of the industry. and one feature I didn't mention , that demonstrates that was the contact tracing. So since we have all of this robust data on our residents, our staff, our visitors, we're able to provide a contact tracing , dashboard that is very easy to use, very user friendly, and it has , um, it has real time location information so we can filter down to see a person of interest. So maybe someone was diagnosed with a contagious illness , um, and they need to be isolated, right? So we're able to, to filter per date and in person and see all of their primary contacts, secondary contacts , um, and even the areas where they, where they, they hung out, right? So we can even decontaminate based on the report that is given to us , from the contact tracing solution. The cool piece about this is, and the reason I'm mentioning it now, when you ask kind of about what we have in the future, this was something that we , our , our engineers and technologists were able to build and release with from , from seven days , from inception to, to general release. So we were able to provide in the midst of the pandemic our caregivers with an automated solution to help them complete a contact tracing task that formally took them hours and days to complete. And it was exhausting. It took them out of their caregiving, right? So this just speaks to our, our mission and our commitment to evolving with the industry and continuing to deliver in whatever way that we are capable to our customers and to the industry.

Amber:

That's fantastic. I really like the door FOB integration. That's something that we hear a lot of requests on, is they wanna be able to manage everything from, from just the one device that they can wear. one of the things I wanna ask you before we wrap up, has Care Predict considered moving into the home care market? I'm wondering if some of this technology could be used to keep people in the home longer, or is this really meant for more of a residential situation where there can be , uh, staff monitoring the alerts?

Tiffany:

Great question and great call out . I, would be remissed if I didn't mention that feature. So we actually are, are in with home care agencies across the nation, and these home care caregivers are utilizing the Care Predict at Home feature. and that division of our business is handled, in a different department. I don't handle that at home , which is probably why I hadn't mentioned it yet, I apologize. But we do facilitate that. And Home care is a huge , a huge source of information because we're able to collect information and still provide that value to the resident while they're in their , in their home. and then of course transferring that information , to their caregivers when they go into the community. so we are looking at, you know, some CCRC have home care businesses, and so we talk a lot with the CCRC that we're with to , um, to build that out into their home care realm for expanding the care and expanding the, touch and the the ability to serve that resident longer.

Amber:

Yeah. And then there , there's the home care side, which you're talking about, which is the, you know , still provided by a community, but I'm curious if it's just would be available to seniors just individually who live in their home independently.

Tiffany:

Absolutely. Yep . And we have a, we have a base of customers who actually utilize it just independently on their own, in their community. and it was cool. I was actually at the Ohio Assisted Living Association conference, and a woman came up to me and she said, we just got this from my father-in-law at his home. And we love it because we live two hours away and we're able to see and check in on his activity , um, and also received critical alerts whenever there is something going on. so it's really adding the peace of mind to the resident or to the , sorry, to the person in their home, and then also to their family members . So it is an exciting , and hot , um, hot feature for the at home product.

Amber:

Yeah. And really a lot of implications for seniors who wanna remain in their homes longer. So that's really fantastic to hear. Yeah . Tiffany , is there anything we didn't cover that you want our listeners to know?

Tiffany:

I think we covered most of it. we're really just continuing to just emphasize how we're built for caregivers, for residents, for family members to provide the safety to our seniors in a simple and easy manner. And, and even in situations where , operators are having staff shortages or they have agency staff in their buildings or , you know, there's , they're , they're looking for utilization analysis. We have that data, so we're able to provide data that operators can use in their own unique way. So we are not a one size fits all standard system. all of our alerts reports, data, everything is customizable in our Wonder Management feature. I don't think we delve too deep into that, but the Wonder Management feature , is huge too because we're, we're able to detect when a resident is wandering outside of a predetermined boundary and that alert goes straight to the caregiver , and opens up a call or, or however that alert is customizably set to that , caregiver or operation. just continuing to build it out to make it easier with a low infrastructure and at a budget that the community can afford. Lot of lots of people ask, this all sounds wonderful and great, what's the cost ? Right? We're very competitive , um, in the sense of we're, we're comparing very closely to just what is a call system. And so in that regard, people are finding that they have all of this, this breadth of feature and this robust data and all of these features, and they're getting it at nearly the same cost as a call system. Um, so that's something that I , I always like to shout out. We are budget friendly , um, and it sounds like a lot and it's really good. and, and of course I'm passionate about it, right? I'm here. I was a formerly a clinical dietician in this senior living space, and so I get it, and I, I know how frustrating , it can be to search for data that you can't find. and to have it in our system to be driven straight to us is just such a , a blessing and a convenience.

Amber:

Well, thank you so much for joining me, Tiffany. This is a podcast episode I was really looking forward to, I was telling people we're gonna talk to Care Predict . I'm so excited to ask them questions and learn about their products. So really appreciate your time and joining the show today.

Tiffany:

Thank you so much , Amber. Yeah , no , I appreciate you, you having me on and, and then and tell people , more about us. So ,, thanks. Appreciate it.

Amber:

Thanks so much again for joining me today. And listeners, if you have ideas or topics or you'd like to be featured on a future episode , you can find us on our website parasolalliance.com. And thank you for listening .

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