Name: How Emerus Uses Workday Accounting Center to Turn Healthcare Operational Data into Daily Financial Insight
Uploaded: 2026-04-29T18:16:43.872Z
Duration: 57 min 24 s
Description: How Emerus Uses Workday Accounting Center to Turn Healthcare Operational Data into Daily Financial Insight

Transcript for "How Emerus Uses Workday Accounting Center to Turn Healthcare Operational Data into Daily Financial Insight": Hello, everyone, and welcome to today's webinar. My name is Sarah Hickman Auger, and I lead solution marketing for health care here at Workday. And I'm super excited to talk about accounting center for provider organizations today. Before we get started with any of that, I do wanna go over a few house keeping items. Number one, this webinar is being recorded and will be emailed to you within twenty four hours. So, if you miss anything that you wanna review or if you wanna share it with colleague, you'll have access to that. Number two, if you need help navigating or if you're having trouble hearing the speakers, go ahead and use the chat button on the right to let us know, and our producer will do her best to help you out. And then last, we are gonna try and have time at the end of the webinar for live q and a. So if you have a question at any time about the content you're seeing or the comments from the speakers, feel free to enter it into the q and a at any time and, so that you don't forget. And then we'll fit in as many as we can at the end. Alright. So with that, I wanna give you an idea of what we're gonna cover. I am really excited for the conversation with Ameris and Crossview. I think it's so important to let you hear from folks who have really been through the projects. We also have a live product demo planned for after that and then, of course, the q and a. But I'm gonna start us off with an overview of Workday Accounting Center for anyone who is not super familiar with the solution so that you have some context for everything else that you're gonna hear. So first of all, why does it even matter? Right? Why would someone think about, tackling Workday Accounting Center? I don't have to tell you. Health care organizations of all types and sizes are grappling with intense financial pressures. And so profitability analysis is really critical for guiding your decisions. We hear financial leaders being asked to answer questions about service line performance or comparing costs across different locations, what's the impact of expected payer shifts, and more. And, ideally, you can answer those questions in real time for the business. But what we see with a lot of organizations is it can be really hard to get to those answers, and it is never fast. So why is that? Well, there are a few reasons. First of all, it with a traditional, setup, it just takes a lot of time. There's a lot of different systems. It's complicated to bring together the right data. Your IT folks might have limited data prep capabilities and visibility into any errors, which then can lead to downstream errors and additional processing time, and it's just kind of a hairy process. Number two, most folks are using just hard coded accounting rules or this black box accounting to get the the things transformed and posted, and that lacks transparency. And worse, it strips away detail every step of the way, as you're moving to the GL. So by the time your data ends up in the GL, it's highly summarized, and it lacks business context or operational context, which limits the insight that you get from it, and it undermines the confidence people have in the data. So, ultimately, you are left with incomplete insight and disconnected reporting tools that make it nearly impossible to act on any of the findings in a timely manner. But the good news is, Workday changes all that with our intelligent data core. So unlike legacy ERP, where you have a fixed accounting key with limited insights and a struggle to adapt as your reporting needs change over time, Workday lets you use work tags, which unlock insights with flexible reporting that can evolve over time. And with accounting center, you gain access to detailed attributes that are typically not available in the GL. So, for example, you can bring in rich transactional details like provider, service line, even DRG codes, and you have all that business context within a single source of truth. So we combine external revenue data with cost data, usage or consumption data, documents, so think about all that unstructured content in contracts, and industry benchmark data. And we're bringing all that data together with the people, financial, and supply data that you have in Workday to give you the richest possible financial dataset in one intelligent core. So if we look at that as a visual process flow, starting over on the left side of this diagram in the dark blue with the little white, bullet items, you can see, you can bring in all of your external data. So your EHR or your practice management system, your treasury. You might have a point of service system for gift shop or dining. Ameris is gonna talk about their external billing system. All that data is brought in and integrated with your Workday financial data and worker data. Then it gets transformed and enriched with those work tags I mentioned. Then the accounting creation is automated in accounting center using a highly configurable rules engine, and that rules engine is owned entirely by finance. So you can make changes quickly with clicks, not with code, and it lets you adapt as your organization grows. So as we move along the process to the light blue and white boxes, once all that data resides within Workday and the single source of truth has been created, it can then be used for planning, various types of reporting and analytics. And and it's important to mention that when you get that data there, we are providing complete data lineage all along the way. So from the highest level report all the way back down to the source, you have complete visibility and transparency from the right side back to the left. And that means you're no longer left wondering, how do we get to this number in this summarized report? You can drill all the way back to the journal source with the original, operational detail to see how you got there. So Workday delivers an incredibly rich source of insight with the operational dimensions that matter specifically for health care, and that means you can get to the answers you need quickly. That means instead of being blocked by the challenges we talked about at the beginning, with Workday Accounting Center, you get, number one, the ability to integrate high volumes of external data and expand your depth of insight. Number two, you get the option to or the ability to automate accounting creation based on, transformation rules that are owned by finance and increases your confidence in what's actually getting posted. And then number three, you're able to leverage all that data for analysis so you can better understand profitability and ultimately be able to plan, forecast, and drive strategy for the organization. I wanna share a quick snapshot of some of the most common use cases for accounting center in health care. For example, automating net revenue calculations. Also, the ability to consolidate multiple EHRs or revenue cycle systems makes it, really easy to get a consolidated financial picture across multiple businesses or acquired entities. And Joanne's gonna cover more of this in her demo later. But first, let's talk with the folks who have actually deployed Workday Accounting Center and the value that they have experienced. For that, will you please join me in welcoming Mary Anne Busleman from Ameris and Jesse McAtee from Crossview. Welcome, both of you. Thanks so much for joining our our session today. Let's go ahead and start with the introductions. So, Mary Anne, can you briefly introduce yourself and MRS and your role there? Hi, Sarah. Happy to. I'm Mary Anne Busselman. At the time of the project, I was the director of revenue recognition at Emerus, so I was deeply involved in the core accounting and systems work. As you can see on the slide, Ameris owns and operates neighborhood hospitals. We build and run micro hospitals in partnership with major health systems across multiple states. Because revenue recognition sits right at the intersection of accounting and systems, I was closely involved in the accounting center implementation. Great. Thank you. So, Jesse, what about you? Tell us a little bit about you and Crossview and how you were involved in the Ameris project. Yeah. Hi, Sarah. I'm a consultant at Crossview focused on Prism and Accounting Center, and I partnered directly with helping design and build their revenue recognition solution in Workday. However, Crossview is a boutique consulting firm and certified Workday partner that specializes in solving complex finance and data challenges, particularly in regulated industries like health care. Awesome. Thank you for that. So I'm gonna get the slides out of our way so you guys can see our speakers a little better and go ahead and start with, some of those other questions I have for you. Mary Anne, I'm gonna go to you. How take us back to the beginning of this project. Like, what was going on at Emerus that made it feel really urgent to move to Workday County Center? Sure. At that point, Ameris was moving toward a broader Workday implementation, so revenue recognition needed to come along for the ride. Honestly, that's where things started to feel urgent. Before Accounting Center, everything lived in Excel and not simple Excel. These were very complex files with around 40 tabs each. Originally, that was meant to reduce manual handoffs between files, but over time it had the opposite effect. The files kept growing, they became harder to manage and work in. Of course, anytime you're manually moving data between files, you're increasing that risk for errors. Mhmm. So, you know, from a scalability perspective, as we were growing, working with new health system partners, each with their own schedules and reporting needs, it became pretty clear that this process wasn't scalable. And the real risk was that the rest of the organization would be able to close faster while revenue recognition was the bottleneck. And so the bottom line is you just can't continue to close on Excel. That's the reality. Yeah. Absolutely. When your when your business is growing, it it's just not sustainable. So, Jesse, as you came in, what stood out to you about the Ameris situation and their implementation requirements compared to other health care organizations? So, and this might be obvious, but what stood out immediately was the scale and complexity of the transformations that were gonna be needed to prepare that data. Right? We had intense calculations that were required and having to combine combine that with multiple properties and multiple partners' worth of input required us to have validations at every step of the design process. Right? While the actual revenue recognition works similarly for each partner, there are unique situations for each partner. So we needed to design a model that was flexible enough to handle variation while still producing consistent and auditable results. I would say that the other thing that stood out was that we weren't just trying to replace Excel. I mean, we're building for scale. If we were just replacing, right, we can just recreate the logic and stop there. But instead, we're designing with questions in mind like, what happens when volume increases, what's gonna happen if our inputs change, and what happens if there are regulatory updates. How do we adapt to that? So we structured our solutions, using Workday best practices, using a modular design so that we could create something that can evolve without needing to be rebuilt. That's great. And the yeah. The so, Mary Anne, you touched on this. The unique nature of Ameris is that you've got all these different community hospitals with, distinct partners. So even though revenue recognition works the same across everyone, there there's gonna be differences in the data that that's feeding in. So, tell us, how did you get to that place where from that place where you've got, like, these crazy Excel files and, lots of manual intervention to, you know, on top of them, growing complexity to where you are today in in a more sustainable place? For us, success wasn't just replicating what we had in Excel. It was automating it and improving it along the way. And accounting center in Prism gave us that opportunity. And we spent a lot of time working very closely with the Crossview team to really align on what that final model should look like. So early on, one of the hardest parts was figuring out the right framework, especially around data. What data did we need to bring in? How detailed did it need to be? How are we going to bring it in? And so that required a lot of collaboration between our team, our IT team, and Crossview. And of course, like most implementations, when something didn't quite work, we had to pivot and adjust and find the best solution. I think one of the key things is we were very intentional about validating our results along the way. We constantly compared our outputs back to that Excel model to make sure we were comfortable with the results. It really helped us move away from that spreadsheet complexity and give us better, a better picture and clearer controls over that model. So I will say one of the things I appreciated was the knowledge transfer that I got from Jesse and some of her other team members. Her deep understanding of Prism really helped us get through that build, but it really helped us be self sufficient once we went live from just the learning and knowledge and hands on experience that we gained. That's great. And and for folks on the line who don't know, PRISM, is how we feed the data into accounting center. So it's it's important to have an understanding of that. So, Jesse, how did how did you approach figuring out, you know, what was needed for Emerus in accounting center? Yes. So in implementation, we're always gonna start with a deep discovery process so that we can understand all of its moving parts. I will be honest. Not every answer was clear upfront. So our main focus was getting the data right at first. This is what I would consider unit testing at the data level. And then once we trusted the data, we moved into the end to end process design. Right? Trying to decide what's gonna be automated versus controlled manually, how we're gonna apply the accounting, and then what reporting outputs are actually needed. We were also extremely intentional about balancing requirements versus practicality, And we encourage big picture thinking throughout the entire project, but we stay disciplined during execution because with this level of data complexity, if you change a small detail at the beginning, it can create, downstream impacts that require additional validation, and, right, we wanna stay on time as best that we can. I would say, overall, this was an extremely collaborative engagement. Echoing what Mary Anne said earlier, we work side by side with the Ameris team on a daily basis, configuring together, validating. Sometimes we would leave and get back together to discuss our results, but that level of involvement made a huge difference. That's fantastic. And, yeah, really being able to lean in, and and learn things, makes all the difference to to continue getting value over time. So so, Mary Anne, you have been live for about six months now. Tell us what is actually different. Can you give us a before and after picture of, you know, before accounting center and then now, what your what's different in your operations? Well, that one's easy. We're automated now. So our original goal was to automate our revenue recognition process and close faster, and we've absolutely achieved that. But what's been more impactful is the visibility we now have throughout the month. We can run results at any time without actually posting entries, which simply wasn't possible before without a lot of manual effort, and that early visibility has given us insight into the results much sooner. From a time savings perspective, we've saved about sixty hours or so in our preparation and execution of our Excel based process, and then another forty hours in report prep and tie outs. But those hours didn't disappear. They shifted to expanded analysis and providing much more meaningful insights. And, overall, I'd say we've closed up our or sorry. We've moved up our close by about two business days, which for us is about 20% faster. That's fantastic. I mean, I I have yet to to talk to the person who says, gosh. I wish I had more time to just do data entry and check my Excel formulas. Right? Like, everyone would rather be doing strategic analysis for the organization. So that's fantastic that you were able to redirect so many hours to more strategic activities. And then, of course, being able to close faster is great, but, also, I I love the callout about, mid cycle visibility because as we were talking at the beginning, you know, needing to make decisions quickly, being able to get that information sooner sort of guides you. So that's fantastic both in terms of making sure you have a smooth close and then with other use cases to getting getting the insight earlier. So, so, Jesse, how does what Ameris experience experienced, compare with what you typically see in in a post go live with, Workday? So the post go live was largely what we'd expect, and that's because we invested heavily in testing. The one intentional difference was that the process isn't fully automated. We designed it that way to allow for review and validation before we post to the ledger, which is important for audit and accuracy. So the focus post go live has been less about fixing issues, but more about validating those outputs. I've also been extremely impressed with Ameris' forward thinking. They immediately started thinking, what else can we do with this model? I believe that a well implemented Workday accounting center isn't just solving for today. It becomes a platform for continuous improvement. You're not locking yourself into a static process. You're creating a structured foundation where new data, new logic, and new requirements can be added without starting over. And that means in practice, the team can continue to expand that solution over time. And because that core structure is already in place, those changes become incremental improvements, not major rework. That's fantastic because, you know, the whole point is you don't wanna be locked into something that's static if you know your organization is growing and changing. So so, Mary Anne, on that theme of being able to expand the solution over time, what do you all have planned next for accounting center? Sure. Now that we have this foundation in place, we're just continuing to look for additional areas to automate and enhance. I think one of the biggest takeaways for us is we developed such a solid understanding of the way Prism works, as you mentioned, the back end of accounting center, that we were able to build our budget model internally and connect it to those existing data sources so it flowed almost seamlessly into what already existed, and that's been especially helpful. We're also especially interested in expanding around our stats entries, for example, to look some additional level of detail to post. But the flexibility we have now really opens the door for that, especially with, as you mentioned, the use of different work tags. That's fantastic. Yeah. The so we hear that a lot from our accounting center customers. Like, once you're live with the first use case, you start looking around. Like, it's so great to have the automation. It's so great to have the visibility. What else can we plug into this kind of an engine to make life easier and and give us more insight? So, I we we have a demo planned, and and we definitely wanna leave time for live q and a. So I'm gonna just do one closing question, and this is actually for both of you. So what would you say we have, on on the line today, we have folks at various stages of their journey. So what would you say to a finance leader in the audience who is maybe sitting where Ameris was a couple of years ago before you decided to make this move? What what advice do you have for them? And we'll sorry. We'll start with you, Mary Anne. Sure. I'd say implementation can definitely feel overwhelming going in. There's no way around that. But I can honestly say for us, the results are worth the effort. Once you get through it, the value that we're seeing has become very real. That's fantastic. Yeah. Quantifiable numbers, really it it tells the story. So, Jesse, what about you? What what advice do you have for clients as they're thinking about this kind of project? Yeah. As a finance leader, I would be thinking about three main things that make a deployment like this successful. The first thing's gonna be partnership. You wanna make sure that you have team members that come to the implementation ready to get their hands dirty, because, the Ameris team and their willingness to work through those details was critical. So you want team members who are, deeply involved and willing to be there for that process. The second thing would be making sure that we have a, a good process design beforehand, that we have the a strong discovery process, disciplined design decisions, and thorough testing to ensure you're not solving problems reactively. And then that third thing is gonna be mindset. Right? We approach this build with a long term solution, not just trying to deliver a quick fix because that's what's gonna allow you to design for scale and flexibility. This allows you to then ask, what else can we automate? What additional insights can we generate? And how do we continue to improve? And I believe that's when the accounting center really starts to deliver its value, not just as a tool, but as a driver of ongoing financial transformation. That I could not have said that part better myself. It's definitely one piece of the ongoing financial transformation. So, thank you so much. I really appreciate all your comments. I do want to go ahead and summarize for our audience just so that they've got some key takeaways from the conversation. Sorry. I'm trying to get to my slide. So what did we hear? So number one, it is worth the investment to take time and learn and design the foundation. Right? When finance owns that engine, that's great, but you definitely wanna learn how it works so that you can make the best decisions in terms of the the design. And then in terms of the project, you can either add this onto a Workday deployment that is already live on financials, or you can do this as part of your initial go live. So, you know, those decisions get made with with each, customer based on their specific needs. Number two, it's all about realizing quantifiable value. So Mary Anne shared they've saved sixty hours on the revenue recognition process. They've saved forty hours on getting the reporting done, and they've chopped two days off of their overall close process. So thinking about, you know, what are gonna be those key metrics for you so that you can align to those throughout the project and then measure them to see that quantifiable value. And then the idea of adding additional use cases over time. So start with what's most pressing. And once you get that down and you have that great data foundation, then you can start to look at other use cases and and extend from just automating processes to really diving deeper into the insights that that you're looking for. So I now wanna turn it over to my colleague, Joanne Fifield. She is going to do a demo for us. So Joanne is an experienced solution consultant here in the health care organization, and, she is an expert on our financial management products. So welcome, Joanne. Take it away. Thank you so much, Sarah. So I can spend the next fifteen minutes or so with a live demonstration. I'm gonna go ahead and share my screen. So just give it a second to render, and then I will level set with a slide or two just so that we can, everybody can see that okay? Yeah. Okay. Great. So what you just heard about was accounting center and how it turns business events into insight. Right? And it can be lots of different things. So from a from a demonstration perspective, we'll talk about the use cases at the end, but from a demonstration perspective, it's always nice to see, what you get out of accounting center first. So from a reporting perspective. So that's where we're gonna start, knowing that there are four stages that are really well outlined for accounting center and they include ingest, enrich, generate accounting, and reporting. So ingestion into what you heard, prism analytics, which is our data hub, is where we centralize all of your data. Billing data, supply data, lists or tables of data with codes, patient information, anything that's coming through that's revenue oriented with clinical data. And then we can enrich it, generate the accounting, and report. Knowing that at the bottom of this what you're seeing are the three major outcomes. Right? The integration is real and live, and you are able to enrich that data. You you get increased confidence just like Mary Anne and Jesse and Sarah were talking about in terms of the accounting. And now all of that third party data is going to live next to your GL data with confidence So that you can then analyze at a very granular level. So we're going to start with reporting, peel back the onion a little bit, talk about how we generate those accounting rules, and then we'll go back to reporting. Sound good for everybody? I sometimes just talk to myself while I'm showing these things. But, the, Ameris, this is a sample, wrote to a tenant, that would be like an Ameris tenant, where we have our financial statements. I am a power user. I am Teresa Serrano. She is able to see and do everything. So she has access to her full menu of items, right, and she would be available to look at all things financials controller. She has got access to everything. It's going to be role based as we know with Workday, but what I'm able to see is everything. And what I'm looking at here is the before. What happened with revenue before we had accounting center? We were able to pull in expenses and revenue and align them and maybe even have a revenue bucket and you might even use what we call an enterprise interface builder, an EIB, a spreadsheet template to be able to see my revenue by, let's say, a cost center. And then maybe even look at it by patient type. So the rich work tags or dimensions that you have in your data that are standardized in your chart of account are here. But you don't really have much detail into the rest. So if I looked at this and drilled into the translated amount knowing that anything's blue, we can do. Right? We can drill through. I can see some of the details. And this is great. Right? I get to see the gross revenue by all of those rich worktags, the payer, the revenue category. Some companies we talk to are not even here yet from their chart of account. So what is the difference if I then look at revenue from what we call our patient revenue dashboard? This is a custom dashboard we built because we are connected to third party solutions like Epic and Cerner and MedHost. And those allow us to pull in that revenue billing and patient billing data. And we can now start to see location, patient type. And as soon as I select any one of this data, now you can start to see other dimensions that we have chosen to bring about. Accounting date would be standard, but things like your DRG, your CPT, your patient, ID, right, different, ICD tens. So all of this rich detail is now drillable. So if I open up an income statement, five quarter, and I'm gonna cancel that for a second and open it up in a separate tab. There's a little trick in, Workday. I hope I teach somebody something. If you hit control, you get a new tab. So this income statement is going to show me the company of Ameris, and it's gonna give me all of that five quarter trend. And the May trend is my trailing five quarters knowing that I've just chosen a consolidated view as of September 2025. I'm bumped up bumped up against my budget, and I'm looking at my patient services. I'm also looking at my allowances or net. So pulling in gross versus net revenue, these are two common use cases. The ability to drill on this and be able to immediately see that I can drill on some details and jump to a gross patient revenue report. So this gross patient revenue is gonna have my revenue account. It's gonna have my emergency, inpatient, outpatient revenue category. It could include grants. It could include contributions, whatever revenue categories you have, and it's across all of my cost centers. I have lots and lots of journals here that are dated, and I do have my standard chart of accounts, my company, my ledger account, my cost center. I even have location and worker and service line. So we have a really rich example of a chart of account here. If I move down the screen and move over, now you start to see the additional third party data that we have chosen to bring across at each transactional level. So for this whole set of journals that we'll open up in just a second, I now have my financial class, my claim ID, my ICD 910. Excuse me. 10, not nine. I'm dating myself. And then I have even the drill path backward, which will open in a second. But first, let's go ahead and look at this journal and see what we can see. And the journal itself is going to give me all of the rich details. I have 84 items, and it's going to show me exactly what the accounting is. It's posted, so this isn't a lighted up process if you want it to be, from Accounting Center into Workday. I've got my credit to revenue and then as I move down the page with my additional word tags here that I've just been exploring, all of these are now part of my analytics. I can then also go all the way to the end where I'll see my my debit to accounts receivable. This can also be done for net revenue, where you're going to have contractual allowances, allowance for contractual spend, and then, it could also be done for supplies, inventory, etc. But we'll keep going with our gross revenue example and then let's even go drill a little bit further to our accounting snapshot. So what is that showing me? So I'm going to go back to my slides for just a second, move those forward and talk about the generate accounting. So how do we define and this is part of those controls that you get to set with Qlik Snow Code You're going to be able to say I need to pull this data but I also need to pull additional clinical attributes to this data that are very important to me for analysis and transparency So, alongside of our financial analysis. So here are my debits and credits, here are the additional attributes, how does that get done? So when I go back into the software, let's go ahead and edit this configuration. You'll notice it's gross revenue and when I edit the configuration it is effective dated. I can have settlement data in here as well, we'll talk about that in just a minute. A lot of times we hear about patient cash, that whole payments information and how do we get that to reconcile to the bank details, those individual journals. But in this case, for gross revenue, we really need to establish our three rules engine. So this is how the business owns and operates and sets the standard and control for how gross revenue is going to come from EPIC or any third party and generate those accounting rules and put them into the GL. So there's three different pieces to this portion. There's the journal header rules where you're literally pointing and clicking. From the data source what do I need to pull? I need to pull the company, what do we want to call it, is it actuals, is it something else? You can pull from a list of your ledger type, then we can set the date. The date could be lots of different things. It could be a payment date, it could be a date of service, we're going to use the accounting date and date of service and then you get to name that journal source knowing that we have journal source as one of our dimensions in all of our financial reports. So, in this case it's going to be our gross revenue. We do have optional journal headers for using our multi book capabilities, creating reversals, and also using an external reference. The biggest part of the journal creation is the journal line rules. So this is where we set where I just drilled back and showed you those credits and debits to revenue and accounts receivable. Here's how we set it. Set it and pretty much forget it. It'll run lights out every time you have a new set of data. So my debits are going to be accounts receivable, the transaction amount will be debit and credit amount. In this case, currency does not apply but it is capable to be global. And then, for most healthcare we don't see currency, but payers sometimes in our healthcare practice. And then here are the worktags that you're going to enable or keep as part of what was in your GL already and here are all the ones that I was just drilling to. So these are all the ones that you get to choose from your additional attributes. All of these that are from that source data that you get, it's point and click, you get to choose what you're going to bring across and they will ultimately land with those debits and credits. And all of these then are now analytical pieces by age, by claim. So think about looking at your claims by age, by certain states it's going to be very, very telling. One of the other features to point out before we just show the credit piece of it is reconcile to bank. So when you are pulling things through that are journals, one-sided journals maybe that are payments or cash, those can be then sent directly through to our bank reconciliation. So we have built in that capability and we'd like to point that out. There's also the ability to have, reversals, in here as well. And here's the credit rule. So again, pick the company, the credit rule, the the revenue account, the debit the credit amount for the transaction amount, and ultimately my work tax. And it is that simple. Right? If it was some other kind of detail like supplier invoice information or pharmacy data, it would look a little different. But this is the structure and it's completely adaptable to the kind of data that you have. So I'm going to cancel out of that because I do not want to change my GL structure. And we'll go ahead and just look at a few more things related to reporting. So some of the use cases I've been talking about relate to just getting data out. What do we include in our general ledger management or what do we include in our dashboards? The ability to have a specific dashboard of the tasks is very nice to see. Right, the ability to see view accounting source stages. Remember those four steps. It is an actual task. So if I wanted to look at this for gross revenue or net revenue or settlement I can do that. I'll just continue with our use case now with gross revenue. Notice what it does, it gives me a blueprint. It gives me the ability to drill back to the raw data from one click. So just as Sarah had said, the data lineage is here for you. Do I need to see what this data looks like? I can select it. I can also see my enrichment, my detailed accounting, and my summarization. I can see that this has already been run and it's in sync with my GL and the data has been published. So it is a good blueprint of the process of those four stages that you can use. And you can always pivot to different data or drill into different kinds of data for those use cases and also drill into the data. So, from a timing perspective, let's talk about some more of the reporting and, I'll just talk about some of the ways we do map data. So, I'm going to go back to my slides one more time and just talk about enrichment. I'm not going to show it today, but I'd be happy to visit with anybody who's interested to see how do we enrich the data, things that we can do, add calculations like you've heard Mary Anne and Jesse talking about. Very rich calculations. The logic and the functions are built in to Prism and and Accounting Center. Being able to join data, to filter data, to add various and sundry sets of data that you may only need parts of it for, right, list list lists of things, mapping rules. So the ability to say if the code is 4567, please call that service line cardiology. And knowing that you might have four sources and all of them are different, think about the ability to go from many to one and bring that into Workday. That's really the value and the benefit of the enrichment. We hear it all the time that we have three different sets of historical ledger data and 1,000 is not cash in every one of them. It's 1,000, it's 1,001, and it's 1,002. So that's a perfect use case for the mapping tables. Then we can add other, reporting dimensions if we want to and we can build out, like we said, those computed fields. You know, rates for instance or metrics If you have revenue and you have headcount and you want to create a revenue per headcount KPI before you load it in, that's something you can do. Very, very exciting. So, some of those use cases that we wanted to just talk about before I jump into some more reporting for a few more minutes. The common ones are these top five. Gross revenue, net revenue, you know managing your bad debt netting and looking at your write offs and being able to load that. Create accounting from external billing systems, that's the one we just heard about today from Mary Ann. Your historical ledger data, Sarah talked about this so elegantly earlier. Statistical transformation, another great use case. But we also hear accruals. And Mary Anne said that's her next one. So I wanted to make sure you understood that that's a good and solid use case. And even being able to pull from Workday back into Prism so that you can use accounting center is part of this process especially for supplier invoices. Inventory, pharmacy data, physician compensation. So, one solution, multiple answers or use cases. That's also the power of Accounting Center. So if I go back into the product just one more time, I'm going to bring us to a discovery board. This is very exciting because it's showing me everything I just showed you with all of that rich detail. So the payer mix by period on gross revenue notice I have multiple tabs here so you can pull over your data and then set up different visualizations for different sources of data and even edit this but this is shareable across the team and you can create these into a report and the report can then be added into a worklet that then could be part of a dashboard. Revenue by service line, DRG code by location, lots of people love those matrix reports. It looks like a pivot table. Right? If I wanted to edit this and look at the data and just get a little bit more intense here just for one second, Everybody loves this discovery board because it's drag and drop. So the ability to be able to highlight this DRG by code, maybe even go to service line. I'm just typing here. I am not a programmer by any means, and then be able to drag service line right into this matrix report. And then I could even move it up to the top and see by service line I want to see my DRG code and description and then create a report. Right? And say by service line, add that in there and create it and now this is something I can use our search for. Right? Knowing that the search is right there for me, I can create that report, view it, and it's going to be drillable By location, by all my service lines. So, pretty exciting that this exists. This is one layer besides the dashboards, one more layer and I'll turn it back over for Q and A because I'm stealing some time because I have it. Is the add in to Microsoft Office. We would never take Excel away from our accountants and financial folks. So the ability to be able to have a multi tab workbook that is set to your workbook properties to set to your company, filtered to the kinds of ledger accounts you want to see, to the companies any kind of filters that you have, the current date, the workbook properties. Notice right now it's set for August. I could change this, fast forward it, once you set a report, think about that, I need to just refresh it for the next month. So the ability to be able to do this and show that I want to look at this by September 30, and say okay I can now refresh just this tab and I'm going to do that on purpose, just the selected sheet, because I want you to see the before and after, and then I wanna show you the revenue trending, which is really where many customers are trying to get. How do I trend my clinical revenue across all of the total revenue? And I haven't refreshed this yet, but imagine being able to see that trend with the graph and refresh it. So this is going to actually move everything forward one more month and there's my September. And I haven't lost my drill through. I'm going to show details here and that's going to give me the ability to click in on the patient service revenue and it's going to take me all the way back to those journals. So, I always have a connection if you would rather use the OfficeConnect as your source of truth for reporting, it's all connected and linked. So I've just drilled all the way back through right to those debits and credits, 62 items here of that Accounting Central Journal and I still have my additional worktags. So with that, I'm going to stop sharing. I'm going to go back to the main screen and, allow us to take time for Q and A. Thank you so much, you so much. Joanne. That was a really you. That was a really. great conversation. Thank you. So we do have time for some questions. I see a couple already. If anyone else has questions for either of our speakers, Mary Anne Busselman from Ameris or Jesse McAtee from Crossview or for Joanne who just gave us that thorough demo. Feel free to type them into the q and a now, and we'll get to as many as we can. I'm gonna start actually, I'm gonna go ahead and just stop sharing the slides so that we can see your faces as you're answering questions. I'm gonna start with one for you, Mary Anne. So you mentioned specifically, the sixty hours that you saved in the revenue recognition recognition process. What were the functionalities of accounting center that helped enable this improvement? Do you have specific examples you could share? Sure. For us, accounting center really replaced our entire manual spreadsheet logic, and it standardized all of those automated rules that we apply by consistently applying them across all those transactions. So it really eliminated the Excel spreadsheet. That was the best thing probably, because Excel had its own limitations. Right. And then, you know, we could rely on the inputs a lot more because they've been vetted, they've been reconciled already. And I think the other, flexibility that we have is being able to post to a level of detail we didn't have before, such as by service line, by payer. Any other attribute we wanted to capture, we could. And I think that was, one of the benefits. That's fantastic. So just like, Joanne was showing us in terms of the enrichment and the the rules for mapping and, you know, the pick list of all those, attributes, that's fantastic to hear that not not only does it give you, better visibility, but it actually translated into hours saved because the the system's automating it. So, this is a question sort of about the the project itself. Jesse, what what do you recommend organizations consider when they're choosing a partner for this type of a project? Oh, we can't hear you, Jesse. Can you hear me now? Apologies. Now we can. Yeah. Awesome. So when choosing a partner, I would focus on who understands your industry and how Workday actually operates in that environment. That experience is gonna help avoid any rework and design solutions that are scalable, governed, and usable long after your go live. Ultimately, you're gonna want a partner that's focused on real outcomes. It's fantastic. Yeah. We talked about sort of identifying those KPIs upfront and and making sure that you can address those. So I also have a question here. This one might work well for you, Joanne. So the question is about, different types of organizations. So, we heard a lot about, bringing together the kind of systems that acute care organizations or or partners with, health systems use. What about for physician practices or for, what does it say here, physician practices or, senior living organizations? Like, how could the accounting center help them as well? And we've seen a big, boost in that actually. So the entire clinical space, non acute care, physician practices, practices, absolutely, behavioral health, senior living, some of my my customers already, and the rev rec could be a use case, but also just pulling that clinical data so that you have the volumes, the outpatient visit visits, and the and, maybe coupled with inpatient. But, yes, the non acute care is definitely thriving with using accounting center because, again, their data might even be more decentralized and disparate. And the volumes of detail that they need to capture are daily and really significant. Yeah. Makes a lot of sense because we certainly know that, senior living in particular grows through so many acquisitions of communities, things like that. Thank thank you for that. So another question here, is Prism key to having accounting center be useful? So, yes. But you don't have to. worry about it. So I'll let I'll let you answer that, Joanne. So PRISM is required as part of accounting center. So PRISM is our data hub. So where the data lands is going to be in PRISM. And PRISM enables many of the capabilities that we talked about, the calculations, the filtering, the joints. Where accounting center embellishes is around validations and error management, the lights out process into Workday GL, the creation of those journal entries, and mapping tables. Great. And then a question, for Do Anne or Jesse. How long did your, implementation take? want me? Sure. Go ahead, Jesse. Yeah. Just through the total. process. So it took, the better part of a year and a half to two years. And, typically, with accounting centers, right, we're suggesting that it takes, give or take, a year. It's all gonna be dependent around the amount of data and the amount of transformations that are gonna be necessary to get the output that you're looking for there. Okay. So let's see. Do we have any other questions here? I think I got them all. So I wanna thank our panelists again. Thank you, Mary Anne and Jesse, for the great conversation. Thank you, Joanne, for the great demo, and thank you most of all to all of you on the line for attending this. We hope you learned something about Workday Accounting Center. And if you have any follow-up questions, please reach out to us. We would love to talk more. Thank you, Sarah. Thanks. Thank you.