Meeting Title: Eden EMR Project Sync Date: 2025-07-28 Meeting participants: Amber Lin, Awaish Kumar, Cameron’s Fathom Notetaker, Cameron Mema
WEBVTT
1 00:01:19.060 ⇒ 00:01:22.109 Amber Lin: I wish I don’t know if Cameron’s joining.
2 00:01:22.730 ⇒ 00:01:29.770 Amber Lin: He did. I did reply to him 20 min after he sent the message, so I I really don’t know
3 00:01:29.900 ⇒ 00:01:31.760 Amber Lin: what his schedule is like.
4 00:01:41.170 ⇒ 00:01:42.330 Amber Lin: Oh, okay.
5 00:01:42.630 ⇒ 00:01:45.179 Amber Lin: Oh, yeah, he’s joining. He’s wrapping up a call.
6 00:02:00.660 ⇒ 00:02:06.650 Amber Lin: What did we? So in this meeting? I know we want to get their timeline on
7 00:02:06.780 ⇒ 00:02:16.230 Amber Lin: their development. Oh, that’s his note taker. And then, if we can get maybe their project plan.
8 00:02:16.570 ⇒ 00:02:17.400 Cameron Mema: Hi, sorry about that.
9 00:02:17.400 ⇒ 00:02:18.559 Amber Lin: Cameron no worries.
10 00:02:18.560 ⇒ 00:02:20.489 Cameron Mema: Dropping another call. Sorry about that.
11 00:02:20.700 ⇒ 00:02:21.709 Amber Lin: No worries.
12 00:02:23.140 ⇒ 00:02:24.100 Cameron Mema: Right.
13 00:02:24.280 ⇒ 00:02:28.330 Amber Lin: Hi, Hi! I’m I’m Amber and the project manager for
14 00:02:28.686 ⇒ 00:02:56.249 Amber Lin: our team for Eden and then a wish will be leading this call. I know we have a few questions we wanted to ask you. I believe that’s 1st one is, we wanted to know what the timeline is like for the Emr project, and 2, if you have any, say project documentation, we love to take a look at those and see how we can align our timeline with yours, and how we can help support you guys.
15 00:02:56.790 ⇒ 00:03:07.840 Amber Lin: but I know Wish has some stuff prepared and he will be leading this call because I have to hop off and do some Eden stuff as well.
16 00:03:08.050 ⇒ 00:03:09.180 Cameron Mema: No worries. It’s fine.
17 00:03:09.590 ⇒ 00:03:10.240 Amber Lin: Okay.
18 00:03:10.970 ⇒ 00:03:11.810 Cameron Mema: Thank you.
19 00:03:12.080 ⇒ 00:03:12.740 Amber Lin: Thanks.
20 00:03:17.870 ⇒ 00:03:19.680 Awaish Kumar: Oh, yeah, come on, we can.
21 00:03:20.340 ⇒ 00:03:21.530 Cameron Mema: Hi! Nice to meet you.
22 00:03:22.590 ⇒ 00:03:28.849 Awaish Kumar: Nice to meet you, too, like I just we just wanted to know, like on the Emr Project side, I I joined a call
23 00:03:29.040 ⇒ 00:03:37.910 Awaish Kumar: few months ago. you are developing and the Emr platform.
24 00:03:38.030 ⇒ 00:03:44.330 Awaish Kumar: So we just want to know the timelines of that. And also we have some data
25 00:03:44.530 ⇒ 00:03:55.649 Awaish Kumar: requirements like for our analytics work. So I wanted to understand how like, you are going to like, send those events on. And things like that.
26 00:03:56.190 ⇒ 00:04:17.820 Cameron Mema: Yeah. So in terms of the Emr, our current plan is to have it go live like it, just testing out the actual order fulfillment stuff starting next week. We need to put a plan together to get like a segment analytics, bigquery. Figure out how we can get all the attribution, and all the events being sent over and making sure it’s sent via server side events.
27 00:04:18.600 ⇒ 00:04:19.290 Awaish Kumar: Okay.
28 00:04:20.279 ⇒ 00:04:27.779 Cameron Mema: So next week we’re gonna have. I think Adam’s gonna be leading a discussion on on how we can necessarily do that.
29 00:04:31.170 ⇒ 00:04:39.840 Awaish Kumar: Okay. So like, like, what you’re saying is that platform itself is ready to go live like next week.
30 00:04:40.750 ⇒ 00:04:51.709 Cameron Mema: So we’re this week, we’re doing testing. And then next week, once we get the new intake forms and stuff live. That’s where we’re gonna start adding the attribution to data and everything like that.
31 00:04:54.150 ⇒ 00:04:55.080 Awaish Kumar: And
32 00:04:56.010 ⇒ 00:05:16.820 Cameron Mema: What would be helpful is to kind of plan out from your side. Knowing the tools we have segment, Google analytics, Meta, Pixel. Knowing that we want to send server side events to figure out if that’s going to be done through the platform, or if we’re gonna proxy it through segment, so that that those are things that you guys need to figure out how you want to do it.
33 00:05:18.820 ⇒ 00:05:25.490 Awaish Kumar: So yes, from our, from our side we have started documenting whatever come coming from bask.
34 00:05:26.010 ⇒ 00:05:32.810 Awaish Kumar: and in what format and how we are utilizing it in yeah.
35 00:05:32.810 ⇒ 00:05:55.340 Cameron Mema: The thing is, what’s coming from Basque is totally different than our models. Now, like, everything’s totally different. So I think the best route to go is for me to kind of just this week. Just share you whatever models we have. And for you guys to put together some documentation. And then next week with Adam and everyone else on the team, we can sync up and get a really big understanding of how we need to do the data.
36 00:05:55.650 ⇒ 00:05:57.350 Cameron Mema: because it’s a pretty big task.
37 00:05:58.570 ⇒ 00:06:08.929 Awaish Kumar: Yeah, like the I, we understand that it’s going to be different from. But but we just want to. Make sure that the data like you need for analytics
38 00:06:10.280 ⇒ 00:06:13.727 Awaish Kumar: is like, we are getting that right
39 00:06:15.260 ⇒ 00:06:28.265 Awaish Kumar: So like from past is is coming as different events. So yeah, like, it would be nice if you can share us with the document, or whatever you have the the models, or
40 00:06:29.260 ⇒ 00:06:36.970 Awaish Kumar: and how you are looking to structure it. And then we also have a document, and we are also going to share it with you this week
41 00:06:37.932 ⇒ 00:06:45.620 Awaish Kumar: that, like kind of data, we need to support the analytics work we are currently doing.
42 00:06:46.600 ⇒ 00:06:50.479 Cameron Mema: Okay, yeah, just let me know. And then we can sync up next week, and we can get going from there.
43 00:06:52.227 ⇒ 00:07:02.100 Awaish Kumar: Okay? And excuse me, like, after this testing phase, like.
44 00:07:02.920 ⇒ 00:07:08.349 Awaish Kumar: what is the like the to go to for it to go to the like, the actual
45 00:07:09.084 ⇒ 00:07:16.399 Awaish Kumar: the like. As a as a live platform for customers like, what is the roadmap like.
46 00:07:17.130 ⇒ 00:07:28.129 Cameron Mema: The roadmap this week. We’re just testing out to make sure the the Emr side of the medical side of stuff is working. Then next week. Adam’s gonna be putting together a plan to get everything else.
47 00:07:29.590 ⇒ 00:07:33.520 Awaish Kumar: Okay, for that is for analytics side. And then
48 00:07:35.010 ⇒ 00:07:38.760 Awaish Kumar: like moving for over from boss to this, things.
49 00:07:39.820 ⇒ 00:07:58.609 Cameron Mema: Moving over. It’s it’s not possible to transfer people over. So, to be honest, it’s kind of out of my scope. I don’t know how they want to do it as of right now, we’re just running 2 systems simultaneous. We’re running 2 systems at once. So that may mean we need to have new big query and new segment instances set up because the data that comes in is totally different.
50 00:08:01.960 ⇒ 00:08:02.810 Awaish Kumar: Okay.
51 00:08:03.060 ⇒ 00:08:04.710 Awaish Kumar: Kevin.
52 00:08:05.140 ⇒ 00:08:08.369 Cameron Mema: They’re totally separate systems, and they don’t even work with each other at all.
53 00:08:09.200 ⇒ 00:08:18.480 Awaish Kumar: So will they be working to like will. Will actually the the customer who is going to come in and place an order? How is that going to work? Is it going?
54 00:08:19.170 ⇒ 00:08:21.810 Awaish Kumar: Coming to from Bass to Myanmar?
55 00:08:21.810 ⇒ 00:08:31.210 Cameron Mema: No, it’s it’s it’s it’s a separate system entirely. So we slowly have to. It’s gonna take us around 6 months to get off bask because of the current patients.
56 00:08:32.070 ⇒ 00:08:32.850 Awaish Kumar: Okay.
57 00:08:36.120 ⇒ 00:08:44.649 Awaish Kumar: okay? So that okay for the current patients, it’s going to be boss. But what if a new customer comes in
58 00:08:45.176 ⇒ 00:08:50.310 Awaish Kumar: on, on, like on the Indian website, where it’s going to land the order.
59 00:08:51.190 ⇒ 00:09:05.810 Cameron Mema: As of right now, we’re just sending 10% of traffic over to the new. So 1% of traffic, 1% just to test it. And then, once it’s tested, Adam’s gonna be leading the whole thing, because I don’t know. To be honest with you.
60 00:09:07.090 ⇒ 00:09:09.200 Awaish Kumar: Okay, let me found.
61 00:09:09.670 ⇒ 00:09:20.690 Awaish Kumar: Okay? So I, as I understand, like Emr, and the ask is kind of back end platforms where you are rerouting the some traffic on Emr, and mostly is going to pass.
62 00:09:21.220 ⇒ 00:09:24.180 Awaish Kumar: and front end is different. Right.
63 00:09:24.750 ⇒ 00:09:28.029 Cameron Mema: Exactly. So. We have some time to figure it out.
64 00:09:28.360 ⇒ 00:09:30.729 Awaish Kumar: Okay, okay, who’s type? One.
65 00:09:30.910 ⇒ 00:09:31.430 Cameron Mema: Okay.
66 00:09:31.430 ⇒ 00:09:31.870 Awaish Kumar: Okay.
67 00:09:32.990 ⇒ 00:09:33.980 Cameron Mema: Okay. Well, yeah.
68 00:09:33.980 ⇒ 00:09:37.799 Awaish Kumar: That is like maybe 3 to 6 months to actually move over from us.
69 00:09:37.800 ⇒ 00:09:43.350 Cameron Mema: No, it’s gonna be sooner. It’s gonna be like a month or so. It’s just that existing patients will still remain on desk.
70 00:09:44.510 ⇒ 00:09:45.156 Awaish Kumar: How can?
71 00:09:46.855 ⇒ 00:09:48.159 Awaish Kumar: Okay, it’s not.
72 00:09:48.160 ⇒ 00:09:54.540 Cameron Mema: So I’ll sync up with Adam, and then he can jump in. Next week. We can get all together, and we can figure out how to do the data stuff.
73 00:09:56.200 ⇒ 00:09:57.286 Awaish Kumar: Okay, sure.
74 00:09:58.210 ⇒ 00:10:04.299 Awaish Kumar: And this week we are going to prepare the doc and share it with you. And in the meantime, like you were mentioning about some documents
75 00:10:04.738 ⇒ 00:10:12.509 Awaish Kumar: and the models. If you can share it, we can also review it. And the next week, like maybe on Monday, we re-sync again on this.
76 00:10:13.340 ⇒ 00:10:16.420 Cameron Mema: Yeah, let’s let’s do that. So I’ll work on that. I’ll work on that.
77 00:10:17.420 ⇒ 00:10:19.190 Awaish Kumar: Okay. Thank you.
78 00:10:19.190 ⇒ 00:10:19.720 Cameron Mema: Thank you.
79 00:10:19.720 ⇒ 00:10:26.630 Amber Lin: Okay, is there a time next week that we’re syncing? Should we book that now? Or do we have to confirm Adam’s availability.
80 00:10:26.940 ⇒ 00:10:43.910 Cameron Mema: To be honest. The current plan right now is literally just to make sure the order fulfillment engine is working and it’s getting sent to pharmacies like a bunch of stuff happened with Boothwin, and we’re actually still dealing with it now. So the 1st order that we need to make sure is to make sure the situation just happened with Boothwin of orders.
81 00:10:44.540 ⇒ 00:10:47.330 Cameron Mema: Messed up and stuff doesn’t happen again.
82 00:10:47.923 ⇒ 00:10:55.566 Cameron Mema: To basically ensure the clinical piece of the software is working. And mostly right now, we’re gonna be planning out like
83 00:10:56.070 ⇒ 00:11:25.359 Cameron Mema: ideas, and how we can do data. Now, the models are totally different. Everything’s totally different. To be totally honest with you, like we don’t have. We don’t have orders. We don’t have treatments, you know. You don’t. This time we don’t make a new treatment every single time their dose runs out. It’s the same treatment they hop on, and it keeps extending right? There’s a lot of changes that were done. There’s no such thing as an order. We have what’s called fulfillments. So on a treatment you may have, you may have a fulfillment.
84 00:11:25.730 ⇒ 00:11:29.420 Cameron Mema: So it’s a it’s a lot different than what we’re doing now.
85 00:11:32.670 ⇒ 00:11:39.560 Awaish Kumar: yeah, it would be nice if you can send. If you have any documentation, that part the data, all the models you have
86 00:11:41.040 ⇒ 00:11:44.659 Awaish Kumar: or any diagrams like Emr diagram, or anything.
87 00:11:44.960 ⇒ 00:12:03.780 Cameron Mema: Yeah, I’ll I’ll put together some some stuff. But this is probably gonna require very, very in-depth discussion with probably everyone involved on both dev team and data team. There’s multiple things to it. There’s 1 we have like, what kind of data do you guys mainly collect now, is it mostly intake stuff or also patient stuff.
88 00:12:07.290 ⇒ 00:12:09.169 Awaish Kumar: Sorry. Can you please come again.
89 00:12:09.170 ⇒ 00:12:13.860 Cameron Mema: What type of data is your main like, what do you guys mainly collect now, like, what is the most important.
90 00:12:13.860 ⇒ 00:12:16.959 Awaish Kumar: We are like, we, we work with all the data like
91 00:12:17.120 ⇒ 00:12:20.369 Awaish Kumar: the context of the the orders.
92 00:12:20.780 ⇒ 00:12:23.390 Awaish Kumar: Treatments like everything like that.
93 00:12:25.110 ⇒ 00:12:26.240 Cameron Mema: Now, this would be awesome.
94 00:12:26.600 ⇒ 00:12:41.439 Cameron Mema: this in mind. The reason why we’re collecting the treatments and all that stuff in. Yeah, we’re gonna have to figure this one out, because there’s totally different models like we don’t. In our new system. There’s no such thing as an order. There’s there’s what’s called fulfillments. There’s no such thing as an order anymore.
95 00:12:42.320 ⇒ 00:12:51.170 Awaish Kumar: Yeah, so like, yeah, like the fulfillments, which is like which which basically gives us some revenue like, that’s that’s where we.
96 00:12:51.170 ⇒ 00:12:51.820 Cameron Mema: That that’s.
97 00:12:51.820 ⇒ 00:12:58.730 Awaish Kumar: That’s what we are calling. Yeah, that that’s what we’re calling order like that. That terminology we can. We can like
98 00:13:00.870 ⇒ 00:13:09.520 Awaish Kumar: like, figure it out. If we have the list of models, and how like, how like, how you have designed it. If you can see it.
99 00:13:09.880 ⇒ 00:13:12.939 Awaish Kumar: I’m like, yeah, we can get the.
100 00:13:12.940 ⇒ 00:13:18.350 Cameron Mema: Yeah, we we can do that. But, for example, like in the new system, right? The way it works is like.
101 00:13:19.010 ⇒ 00:13:32.300 Cameron Mema: and an order or a fulfillment may not necessarily be tied to a payment, so payment may happen, and then a fulfillment will happen. Consequently, after the payment succeeds. So it’s a little bit different than that.
102 00:13:33.500 ⇒ 00:13:58.160 Awaish Kumar: We understand, like the main main reason, we want want to sync up, and we want to share the current state. And we want to what we want is we want the capabilities to get the data, all the data we need, how it is coming through multiple models or in what order. That’s the second point, right? Like, we don’t want to miss any
103 00:13:58.260 ⇒ 00:14:00.829 Awaish Kumar: any fulfillment like anything which is
104 00:14:01.080 ⇒ 00:14:08.719 Awaish Kumar: coming as revenue. We should catch that, and whatever we need for our analysis or like the.
105 00:14:08.870 ⇒ 00:14:25.689 Awaish Kumar: for example, attribution of these fulfillments to the marketing platforms, like from Google ads or from Facebook or whatever. These are kind of things we need to actually support analytic work we are doing for all the different teams, and that.
106 00:14:25.690 ⇒ 00:14:26.030 Cameron Mema: I know.
107 00:14:26.030 ⇒ 00:14:52.920 Awaish Kumar: Focus that week we are able to get the data. Maybe the data schema is different. How the tables are arranged. They are different. We can work on that. We can write new new transformation. That’s not the like. The that’s not the issue. Like we can write new transformation how to join those data. But what we actually want to make sure is that everything we need is being collected somehow, somewhere.
108 00:14:54.540 ⇒ 00:14:59.550 Cameron Mema: Yeah, okay, yeah. And I think Ryan is really involved in this as well.
109 00:14:59.710 ⇒ 00:15:04.770 Cameron Mema: So I I think the best thing to do is to set up like a really big group. Call for next.
110 00:15:06.030 ⇒ 00:15:28.820 Cameron Mema: We also have to. This is something I want you guys think about, are we gonna try to put this data in our existing stuff. Or did you guys want to start fresh? That’s what we got to consider, because the the thing is so big and so different, where, even if you do transformations. It’s gonna be nothing like what we had from bask, because Bask was designed for like
111 00:15:29.020 ⇒ 00:15:58.070 Cameron Mema: Basque wasn’t designed the best. If that’s the easy way to put it, it wasn’t designed in the best way to be to be done. So there’s a lot of things that are done different now, like, for example, there’s no such thing as a prescription anymore. There’s what we have is called the prescription intent. So it’s an intent for a prescriber to issue the prescription. It doesn’t mean it’s been sent like we’re not sending prescriptions to pharmacies anymore until it’s time to fulfill the order. So a lot of stuff has been changed.
112 00:16:00.090 ⇒ 00:16:04.999 Awaish Kumar: Yeah, like, I understand that. And we
113 00:16:05.550 ⇒ 00:16:10.379 Awaish Kumar: yeah, we want to have to follow up on that with everyone involved
114 00:16:10.500 ⇒ 00:16:18.120 Awaish Kumar: along with the documentation you are going to share us with, and then we might create a new.
115 00:16:18.840 ⇒ 00:16:28.149 Awaish Kumar: like a kind of like requirements, or like the things we need. It’s because.
116 00:16:28.904 ⇒ 00:16:38.610 Awaish Kumar: the model we we you have built, we we just want to make sure, like we are continue to support the current analytical
117 00:16:38.880 ⇒ 00:16:40.370 Awaish Kumar: projects we have.
118 00:16:40.900 ⇒ 00:17:03.860 Cameron Mema: Yeah, I know. But it this is we have to think about. And I think we can go in more depth into next week. Is if we’re gonna try to work with our I don’t know what the current schema and stuff looks like. You’re gonna probably ideally share me some examples, if we’re gonna continue trying to transform it to what we have currently, or if it may make sense, to have like new fresh tables. And
119 00:17:03.910 ⇒ 00:17:15.510 Cameron Mema: and as we migrate customers from bask onto this new platform, we would be re-entering that data again. So kind of like our
120 00:17:15.710 ⇒ 00:17:24.539 Cameron Mema: whatever’s on bask would eventually turn into an archive. And then we would like, the thing is people’s orders on bask.
121 00:17:24.660 ⇒ 00:17:53.850 Cameron Mema: Eventually, once we stop having bask, those people won’t have access to those orders anymore. And we’re gonna slowly have to like re-import them into the Emr like historical data and stuff like that. So that’s we gotta figure out if if we’re gonna I don’t know from. I’m not that much of a data guy, but from my side it may like. From what happened to my last company. It may be easier to kind of start fresh, develop new models, and then go from there.
122 00:17:59.410 ⇒ 00:18:06.489 Cameron Mema: and by start fresh. I can like have a fresh instance of wherever we’re at, because the data is so different compared to what we had previously.
123 00:18:09.340 ⇒ 00:18:18.843 Awaish Kumar: Yeah, like, I, I understand your point of view, like we are going to start afresh, as as you are saying, because the the new. There are new models, new way of
124 00:18:19.380 ⇒ 00:18:21.710 Awaish Kumar: viewing the data and
125 00:18:22.130 ⇒ 00:18:29.499 Awaish Kumar: like you like how the Emr works. We have to think like that. But at the end. For, like the
126 00:18:30.030 ⇒ 00:18:37.619 Awaish Kumar: the metrics, we want to calculate, they are the exactly same right, the revenue, Ltv. And things like that. So we want to make sure
127 00:18:37.750 ⇒ 00:18:40.650 Awaish Kumar: only the thing that we are concerned about, that
128 00:18:40.760 ⇒ 00:18:44.570 Awaish Kumar: I want to calculate, Ltv. And that I should be able to do that.
129 00:18:44.710 ⇒ 00:18:52.649 Awaish Kumar: That’s the only thing. And like, yeah, if the if it’s coming in different format, we can work with that and start modeling it that way.
130 00:18:53.250 ⇒ 00:18:57.960 Cameron Mema: Yeah, exactly. I know what you mean except what it’s. It’s
131 00:18:58.080 ⇒ 00:19:05.450 Cameron Mema: unbelievably different, like calculating. An Ltv will be much different than the way you’re doing it in Basque.
132 00:19:07.430 ⇒ 00:19:31.809 Cameron Mema: It’s gonna be much different on top of that. The platform also calculates the Ltv. As well. But it’s much different, because now, instead of calculating the orders and stuff like that, you have to basically see like the you have to calculate the fulfillment, like, basically, you have to calculate at what point they dropped off on their treatment. So you there’s 2 ways to do it. You’d have to look at the fulfillments and.
133 00:19:31.810 ⇒ 00:19:32.629 Awaish Kumar: What do I think?
134 00:19:35.370 ⇒ 00:19:35.760 Cameron Mema: Pardon.
135 00:19:35.760 ⇒ 00:19:38.210 Awaish Kumar: Okay, yeah. Sorry. I was.
136 00:19:39.670 ⇒ 00:19:43.520 Cameron Mema: Yeah, I know, I think this is gonna be a really big project.
137 00:19:43.710 ⇒ 00:19:46.529 Cameron Mema: So at this point, it’s kind of out of my
138 00:19:47.300 ⇒ 00:19:51.389 Cameron Mema: like scope. I think we’re gonna have to get a call with everyone and.
139 00:19:51.390 ⇒ 00:19:51.720 Amber Lin: Okay.
140 00:19:52.160 ⇒ 00:19:53.299 Cameron Mema: Go from the top.
141 00:19:53.520 ⇒ 00:19:58.449 Amber Lin: Yeah, I totally understand. Can you let me know who I should ask to include it so
142 00:19:58.950 ⇒ 00:20:03.509 Amber Lin: that they can help us know whatever this stuff is out of your scope.
143 00:20:03.710 ⇒ 00:20:05.150 Cameron Mema: Ryan, Ryan.
144 00:20:05.980 ⇒ 00:20:08.230 Cameron Mema: He’s he’s a tea, gran.
145 00:20:08.930 ⇒ 00:20:10.069 Cameron Mema: And also Adam.
146 00:20:10.290 ⇒ 00:20:14.399 Amber Lin: Adam. Okay? And do we need to include any of the Dev teams.
147 00:20:15.380 ⇒ 00:20:19.449 Cameron Mema: You can include ayush and orange. I mean, this is going to be a really big discussion like
148 00:20:19.590 ⇒ 00:20:49.109 Cameron Mema: this is, this is, gonna be the tricky part. The same thing comes for Zendesk. The way that bask formats their data is totally different than what we have now so calculating. Ltv. Calculating revenue bask associates it with orders. We don’t do that anymore. We associate the treatment like whenever someone does a rebill, we basically add another dose to that treatment. And then our system sees if someone has a dose and it hasn’t been filled yet, and it’s time to fill it, then goes and fills. The reason why is because we’re looking so go ahead.
149 00:20:49.610 ⇒ 00:20:50.849 Amber Lin: No! I was listening.
150 00:20:51.110 ⇒ 00:21:12.459 Cameron Mema: If we’re if we’re going to eventually, let’s say one of our pharmacies does is like taking like a week and a half to fulfill. We’re going to have to build the patients earlier. So the medication arrives on time. So these are things that we have to keep in mind when building this new Emr. So everything that’s happening right now at Bask, about patients going a month without their order doesn’t happen again. So these are things we have to keep in mind.
151 00:21:15.056 ⇒ 00:21:15.990 Awaish Kumar: Yeah. So
152 00:21:16.230 ⇒ 00:21:24.229 Awaish Kumar: it would be nice if you can share the the documentation and the Emr diagrams, or anything you have about the models.
153 00:21:24.750 ⇒ 00:21:28.910 Awaish Kumar: And then, yeah, we can. The amber can help us plan the new meeting.
154 00:21:29.350 ⇒ 00:21:34.410 Cameron Mema: Yeah, let’s do that. So I think we should just sync up next week on like Tuesday or something, and then we can go from there.
155 00:21:34.740 ⇒ 00:21:38.760 Amber Lin: Okay, you mentioned dev team. Ayush, and.
156 00:21:39.160 ⇒ 00:21:39.500 Cameron Mema: On!
157 00:21:39.500 ⇒ 00:21:41.330 Amber Lin: So ash
158 00:21:42.282 ⇒ 00:21:50.459 Amber Lin: I know he’s not in the Channel yet. I’ll probably tag you to see if you can add him and then I’ll coordinate a meeting for next Tuesday.
159 00:21:50.850 ⇒ 00:21:51.789 Cameron Mema: Okay. Sounds good.
160 00:21:51.790 ⇒ 00:21:53.080 Amber Lin: Yeah, thank, you.
161 00:21:53.440 ⇒ 00:21:54.330 Cameron Mema: Okay. Thank you.
162 00:21:54.420 ⇒ 00:21:55.359 Awaish Kumar: Thank you.
163 00:21:55.850 ⇒ 00:21:56.520 Cameron Mema: Bye.
164 00:21:56.520 ⇒ 00:21:57.130 Amber Lin: I.