Transcript Generated by AI 00:00 Hey everyone, welcome to statements. 00:03 And statements is one of the sections of the website that's interactive and uses 00:08 the data tools of the Zimmet organization. 00:11 And I think it's, I think it's super cool. 00:12 It's one of the things that Mark and I talked about early on in development of 00:16 the site. 00:16 Now I think the best way for you to understand what's on statements is just 00:20 to spend a little bit of time with it. 00:22 You'll see that it's user friendly. 00:23 You're able to click on a state and learn all sorts of cool information about long 00:29 term care and sniffs in that state. 00:32 In my mind, it has a couple of functions and there's 00:34 probably other things that you'll figure out, 00:36 but one is it allows you to look and see how everybody else is doing in the state 00:40 on various metrics so that you can benchmark yourself against what's 00:43 happening in the state. 00:45 The other thing is if you're thinking about going to a state or investing in a 00:49 state, you're able to see some pretty cool 00:51 information about what's happening there. 00:53 And I'm very glad to be joined by by Mark this morning. 00:56 And I know, Mark, you put a lot of time with the team, 00:58 just kind of figure how to get this on the website and making the whole thing 01:02 work. 01:03 There's like you told me, there's like 100 different things we 01:06 could put on there to to be looked at for each day. 01:08 You picked a few, maybe talk a little bit about the few 01:11 that you picked. 01:11 And then you told me you want to add different features as time goes on. 01:15 Yeah. 01:16 And, and I should say this is this, this is almost like a wake up call when 01:20 you see in, in the way this data is represented, 01:23 the differences among states from state to state, things that are, you know, 01:28 baseline like occupancy or, or Medicare share. 01:32 But to get a little bit more sophisticated, 01:35 the percentage of agency use on nursing, the related party offsets the amount 01:40 Medicare pays for reimbursable bad debt. 01:44 You see the differences and you see how one state is positioned so differently 01:47 against the other. 01:49 You know, now think about it, if you're on a, 01:52 if you're on a border and you share a, a market with a facility across state 01:57 lines, it's really a wake up call when you see 02:00 how different fundamentally that facility is then yours. 02:04 Yeah. 02:04 And I, I've had fun just playing around with it, 02:07 making those same kind of comparisons, looking at just even, 02:10 it's interesting just to look at the total number of beds in each state 02:13 relative to other states or some states that have massive numbers of nursing 02:17 homes relative to other states that have like Oregon that have relatively few. 02:22 You've talked about changing a data point from time to time. 02:25 Tell, tell us what you're kind of wanting to do 02:27 with that. 02:27 Oh, what I want to do with it. 02:29 I want to throw 100, 000 data points on there and go off now. 02:31 But it's, it's, we wanted, it's different levels of sophistication. 02:34 We know some people aren't that into the data, but we, you know, 02:38 you talk about number of beds in occupancy and we've had this discussion 02:42 before. 02:44 So occupancy is not a measure of demand. 02:46 Occupancy is a snapshot number of beds and number of residence beds divided by 02:50 number of beds. 02:51 And you know that's not really a measure of demand. 02:54 So we can get, you know what, we'll put things up there. 02:56 We'll put contextualized data up there that yes, 02:59 you can see that that Kansas went from 81% occupancy pretty pandemic to 77%, 03:04 but there are so many fewer beds when you look at it, the demand is different. 03:09 So we'll call that relative occupancy. 03:11 So we put things in in context to really understand what's happening in the state. 03:16 And that's the, you know, that's the fun of it. 03:18 Terrific. 03:19 Well, again, welcome to statements. 03:20 I think the best way for you to understand it is just to spend some time 03:23 with it. 03:24 Our mission is your success and we can't, you know, 03:27 we can really be successful if you help us know what you want to know. 03:30 So after you spend a little bit of time with the website, 03:33 please contact us if there's data points that you're interested in including and 03:36 adding. 03:36 And again, thank you for your support of this 03:38 website.
