Thank you for joining us for an introduction of the ACC Global Quality Solutions Cardiovascular Data Registry. My name is Sheila Fairless, and I am a part of the ARMIS Health Catalyst Team. It is our pleasure to be partnering with the ACC Global Quality Solutions and Accreditation Team in this project. During this session, we will do a brief review of the ACC Global Quality Solutions, including the international datasets and the ARMIS application components that support the Global Quality Solutions, data entry, manual or electronic data transfer, data quality report, and reporting. As an international participant, hospitals have datasets that provide the opportunity to participate in quality improvement. Initially deployed datasets include chest pain MI and cath PCI. These datasets are subsets of the ACC NCDR registries, excluding fields that are not relevant for international use. The datasets were determined through a collaborative process and include fields needed to support quality analytics and the accreditation process, as well as optional clinical and demographic fields that provide a localized hospital experience. The ACC NCDR and ACC Global Quality Solutions registries are both available in the ARMIS Global Quality Solutions platform. This is important because it supports both historical or future NCDR or GQS datasets in data entry as well as in reporting continuity. The application supporting the GQS datasets is called Hybrid and is supported by ARMIS. This application is used for data entry, data quality review, and reporting. Each user has their own login and privileges are assigned based on the level of access that is requested by the hospital for that user. The message board, which you can see on the screen, is used to communicate messages to users, such as scheduled maintenance, updates to the application, as well as training opportunities. Each international domain has their own URL so that local security protocols can be addressed for each participating country. The ARMIS Hybrid Data Entry platform supports hospital localization. Fields that are optional for the Global Quality Solutions data entry set may be hidden. These are both clinical and demographics fields that are optional. An example is the patient's name. Some countries or hospitals within a country may not be allowed to enter the patient's name. Note that I can hide these fields with the hidden fields tool and they are no longer visible on the screen. At any time, optional fields can be unhidden should the hospital determine that they wish to use them. On the screen, you will now see the data entry. Hospitals can use both electronic data transfer through ARMIS interfaces and manual entry. They can also map some data from one registry to another. Users will create or search for a record that exists that I have selected. The data entry form includes a patient navigator, which illustrates the path of the patient's admissions. For this previously entered patient, there is both a chest pain MI and cath PCI episodes, which are the same as admissions. The chest pain MI international here is highlighted and you see the form below. At any other time, I can add any episodes based on what I as a user have access. You'll also see on the right that we have data definitions. Anytime a user is in any field, they can see the data definition that is associated with that field. In this case, you can see I am in the atrial fibrillation field. On the right, I see the definition and the shortcuts for that field. If I switch, then I can see the next field. If I switch to cath PCI so that you can see that form as well, you'll notice that I have my patient forms, my episodes, my cath lab visit. In this case, I also have lesions because this record is a PCI. These records, as I noted earlier, can be imported in from an electronic medical record or they can be manually entered. This is a case where I have already entered the data after importing some of the data from an interface. The validation panel over on the right can also be selected and is a real-time validation showing me what validations might be illegal or warnings based on that data that has been imported or the data that has been entered. I can double-click on any one of these fields and it takes me straight to it so that I can correct it. The users can also do a real-time data quality report, also known as a DQR. Here, I'm going to switch to my next tab where you can see I've entered search criteria for my data quality report. I can do a summary report or I can do a detail report. In this case, I did a search for my summary quality report and here are my results for my two patients. I could double-click on these patients that have warnings or errors and it would take me directly to that patient. I can also do a detail search by going and switching from summary to detail and then I will search again for that list of patients. Now, I have all of the errors that have occurred for that patient. I can double-click on any one of these fields and it will take me directly to that patient so that I could then correct that particular error on the patient. It's loaded that record and I could do that correction for the record. I also want to show you some things about our analytics tools. All of these different reports are supported by the same definition library. So, once a metric is defined, then that metric will be the same regardless of what feature I run it in. So, in the CAF PCI metric library, I can choose my metrics if I want to select different metrics or I can run all of the metrics at one time. If I want to choose them, I would just go in and select the metrics that I want to run. The user can also search for metrics, then choose those metrics. For example, if I wanted to run a mortality record metric, I could just begin to type that in and it would pull it up and then I could select those metrics. That's where the recent reports really comes in handy because if I've set up a report that I want to run again in the future, I don't have to reset it up again. There are a lot of different settings that the users can use and we go through and do an extensive training. So, they are able to set that up, run it by the different parameters, whatever the dates, or they can also do filter things by operators or the hospital if they have more than one hospital. Then, they have some controls that they can use to filter further. Then, they just generate the report. So, I click generate and then my report is running, is a real-time report back on the data that has been entered. Now, you see my report is generated. I ran all metrics and so I have quite a few metrics in the system. But again, I could just sub-select some of these metrics if I wanted to do that. The executive metrics are at the top. Another option here is I can download the definitions so that I could see what the definitions are. If I needed to go back and make any changes, I can just open the filters back up so that I can change them accordingly. We also have access to the recent reports. So, if I click on my recent reports, I would be able to go in and you can see I can see the report, for example, that I just ran. I would be able to open that report back up and run it again. Another view of the data is what we call star metrics in the star metrics library. It is a dashboard and it is a heat map dashboard. I can see my color key here that tells me how I'm doing and it is compared to the benchmarks. Currently, we're using the NCDR domestic benchmarks, but as we add more international sites, eventually these benchmarks will become benchmarks for the international group. I'm going to go back to the very first one and I can see this color coding. If I click on any one of the cells, here I'm going to click on this 75, then down below I will be able to see things that are correlated with that. First, I just see generally the procedure volume. I can move this bar and see that procedure volume over time. The actual dashboard is running four quarters. If I want to see the metric description for this particular metric, I can click on metric description and then I will see what is the calculation. How did we come to that 75% and here is that calculation. Were there any excluded records? In this case, there were none. If I have detail privileges, I can actually see the records that are associated with these and I can see a metric graph. We are working to get our data tables, which is something that our NCDR users have access to. This allows the user to run ad hoc queries, to add fields. I'm going to go now over to my population and I can filter this. Right now, I'm looking at all records, but let's say I wanted to look at a discharge date of January through December of 2022. Then I could add that. I can refresh so that I can update that filter. Then I can apply that filter to my table so that I will only have those patients back. Currently, they can run this same detail out in extracts, but this just is a little bit more flexible. We're very pleased that this will be coming very soon for our international users. I do thank you for joining us today and hope that this presentation was helpful for you in understanding better what we are doing with our partnership with the ACC Global Quality Solutions Group. Again, thank you for attending.

ACC Global Quality Solutions

Cardiovascular Data Registry

ARMIS Health Catalyst Team

data entry

data quality reports