Medical Staff Professionals (MSPs) are tasked with keeping patients safe, and one of the ways that’s done is by gathering, storing, and updating patient data to ensure they’re receiving the right treatment from fully privileged and credentialed providers.
In session two of our 10-part Clinical Solutions Webinar Series, we discuss the importance of leveraging patient information to support clinical solutions tools in CredentialStream®. You may watch a recording of the presentation here, or read below for session highlights.
When discussing patient data within CredentialStream, we’re zeroing in on both the Privilege and Evaluate product areas, as they utilize patient data for case review, performance privileges, and performance metrics. One thing to note is that all of these functions rely greatly on the patient data set being imported for calculations and presentation of information. Importing patient data is a critical component of analyzing performance so your healthcare organizations can remain compliant with regulatory requirements related to clinical competency assessment and deliver the highest quality care.
Reports are built using the patient data inputted into the system. Of course, it goes without saying, patient data should be clean to ensure accuracy and dependability.
So, what data will be used when analyzing performance? As you may have already guessed, much of the source data will come primarily from your EMR. That is where you’ll have access to basic patient and encounter data, and it’s the best place to source data to be imported into CredentialStream. The data you pull will inform case review, performance metrics, and performance privileges. The patient data you will need to import includes:
The other data set to consider are the many provider types. CredentialStream stores credentialed providers, which include: MD/DOs, NPs, PAs, and CRNAs, but not necessarily everybody who touches a patient in the hospital. This is an important discussion to have within your organization to be sure all necessary data is brought in. Within CredentialStream’s performance metrics solutions, different attributes are assigned to providers:
When determining what data to extract from patient imports, there are a few other items to take into consideration.
When you first access the import map within CredentialStream you land on a general tab that contains the name of import, file name, type of file, and additional match criteria. Most facilities organize their data by matching patient IDs. Note, file names need to be standardized to allow for scheduling automation. This means file names that include a date and time are not accepted as they interfere with CredentialStream’s functionality.
There are a variety of sub-menu options that allow for more customization:
You can track your data import using built-in dashboards. These dashboards can be assigned to different team members to track procedures. This allows you to see what is working and what needs to be changed to ensure performance metrics are accurate.
As you can see, a lot goes into determining the data to import and getting the data ready for import! The good news is that when you work with VerityStream, you won’t have to go at it alone. VerityStream offers resources to assist in importing patient data properly including KnowledgeNOW videos to support imports and a Patient Data Import Workbook to assist with importing clinical data. In the Workbook, you’ll also find a high-level overview of the objectives, along with the short and long-term data elements and data information that will be needed to complete patient data imports successfully.
Our team has also established key time frames for the implementation of performance measures and/or clinical solutions. Our proposed implementation timeline is as follows:
From there, we move into Week seven, the patient import test. We recommend importing 90 days of data to use as a test to ensure imports are coming in properly. This allows you to make any necessary tweaks before importing the full set of data. You will start by creating test files based on patient standard import maps, and the implementation manager will then download the report for testing. During Week eight, the clinical solutions team will hold a meeting to review the reports.
Data should be imported in a specific order:
Like you, we understand the importance of keeping patient data secure, which is why CredentialStream implements the strictest of security measures. CredentialStream databases are stored in secure, encrypted, Microsoft Azure environments in Eastern US. The transmission of data is always IP- restricted, whether the data is at rest or in transit. CredentialStream keeps full backups for 30 days as well as daily differential backups, both stored in an Azure container. And there are separate environments dedicated to disaster recovery.
Other security measures include:
As you can see, proper use of patient data is vital when it comes to analyzing clinical competency. For a more comprehensive look at this information, watch a recording of session two of our 10-part Clinical Solutions Webinar Series presentation, Leveraging Patient Information to Support Clinical Solutions Tools in CredentialStream, or reach out for a demo. As always, we’re here to help.
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