Our team sees data quality as more than a tool for your organization; it’s a framework that spans the entire data lifecycle and should be measured throughout your pipeline.
Because data quality is broad, it can be difficult to know where to start.
Prominence uses its Data Quality Framework to clearly define the ways to measure data quality and combines that with use cases to make data quality actionable and attainable.
In this Basecamp session, Alison Knight will showcase how healthcare organizations can align their data quality initiatives with established quality improvement tools and concepts. Through our comprehensive framework, you’ll understand the critical components needed to achieve superior data quality, exemplified by real-world applications.
Key takeaways:
Data quality is not just an issue that developers code around; instead it is a problem experienced at all levels of the organization and beyond. As a result, the value of improved data quality will be realized throughout the organization.
Data Quality is more than a tool. Whether your organization has a data quality tool or not, our team can help you build the processes and prioritize your issues to take the first steps integrating data quality into your data pipeline.
Not sure which tool is best for your organization? Our team has widespread experience with most Data Governance and Quality Tools and can provide recommendations based on your organization's goals.
Are you currently paying for a tool, but not getting the full value of it? Utilize our best practices to find value in your tool and expand its functionality.
Your organizational data includes reference data from external sources including NPI, CPT codes, DRG and DEA numbers are just a few examples. Often, these types of data are propagated in various applications and databases in your system. How can you ensure that these values are valid and accurate, prior to them propagating issues across your pipeline?
You can utilize a data quality tool to continually monitor the quality of these fields and alert you if the quality changes.
Prominence partnered with a large healthcare technology vendor to assess how often one of their key fields from an external data source was completed according to their requirements. The team utilized their data quality tool to continually monitor these key data elements and proactively resolve issues prior to them entering their data pipeline.
Records Measured
Had a Number
Were Valid Numbers
Records to Investigate
Reach out to learn more about how your organization can build and implement a data quality program.
Register today for our upcoming Prominence Basecamp live webinars.
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