Supporting quality measures is no small feat, particularly when missing or misaligned data can plague the entire initiative. And challenges with data quality are not uncommon. In fact, 69% of hospital leaders said they see an opportunity to improve their data consistency to better support quality improvement initiatives1, and 47% reported inaccuracies in their quality reporting due to poor quality data2.
In this webinar, we will discuss how automating your data normalization can help ensure that you never miss a qualified patient, bettering your quality measures reporting.
Listen to this short 30-minute webinar to: