How shared standards can make provider data quality measurable—and actionable.
Provider data supports nearly every healthcare workflow, from credentialing and network management to provider directories and patient access. Yet organizations often use different ways to assess its quality, making it hard to compare results, set meaningful benchmarks and decide where to focus improvement efforts.
This masterclass explores a practical question: how should provider data quality be measured?
DataSpring’s Dr. Alex Ding, Chief Medical Officer, and Rahul Tiwari, Chief Data and Analytics Officer, will look at how healthcare organizations can move beyond isolated measures of accuracy toward a more consistent approach. Together, they’ll examine emerging frameworks for measuring provider data quality and how a common approach can help organizations identify opportunities for improvement. They will consider how quality measurement advances the broader goal of provider data integrity: provider information that is trusted, current, complete and usable across the workflows that depend on it.
What attendees will learn:
The foundational elements of provider data quality and why consistent measurement matters.
Practical approaches to evaluating quality and identifying opportunities for improvement.
How shared standards and benchmarking build transparency, trust and accountability.
How provider data quality contributes to provider data integrity and supports healthcare operations.
Designed for healthcare organizations and partners working to strengthen provider data and the workflows that depend on it.
*** Please note that this event operates on a first-come, first-served basis. Seating is limited to 50 attendees, so we encourage you to arrive early to guarantee a seat.***
By agreeing to participate in this event, you agree to our Terms and Privacy Notice.
