Synopsis: This guide discusses Q-Centrix’s data integrity process, including how its new risk-based approach helps ensure consistently high levels of data integrity. It shares the ways Q-Centrix ensures quality throughout the entire data lifecycle and what hospital partners can expect from a data integrity perspective when they partner with Q-Centrix.
Details:
When clinical data are key to so many pivotal hospital functions—from improving patient care to training AI algorithms—it’s crucial that hospitals and health systems have the utmost confidence in the integrity of their data. Without a thorough data integrity process, healthcare facilities run the risk of compromising patient safety, introducing errors into AI models, and more.
This guide discusses Q-Centrix’s data integrity process, including how its new risk-based approach helps ensure consistently high levels of data integrity. It shares the ways Q-Centrix ensures quality throughout the entire data lifecycle and what hospital partners can expect from a data integrity perspective when they partner with Q-Centrix.
One quality check at the end of the data lifecycle is not enough to provide the high level of accuracy healthcare facilities need. With a comprehensive data integrity process, clinical and quality leaders can spend less time performing quality checks and more time using their data to drive process improvements and improve patient care.
This article is for:
- Clinical and quality teams interested in improving the integrity of their data
- Anyone who wants to learn more about the techniques Q-Centrix uses to ensure data integrity
- Clinical and quality leaders interested in understanding how Q-Centrix partners benefit from its data integrity program
