Inter-Rater Reliability (IRR)
Quality data is…accurate data.
At Primaris, we know the importance of not only having your data submitted on time, but also that you are submitting accurate data. That is why we guarantee a>93% accuracy based on inter-rater reliability (IRR), and average 97.5%, for all of our quality measures abstraction services. Our abstraction team continuously cross checks each other’s work to ensure the data results align with standardized definitions and specifications.
IRR is defined as the degree of agreement among two or more persons independently abstracting data elements from the chart.
IRR can help identify:
- variation in understanding of measure definitions
- knowledge of measure definitions
- need for additional training
- decrease need for re-work during the project