Going beyond healthcare data quality:
A leading approach to ensuring data integrity
Clinical data are crucial in guiding hospital operations and patient care. These data influence patient outcomes, physician engagement, reimbursements, recognition, accreditation, and more. To truly drive success in these areas, healthcare facilities must be confident in the integrity of their data.
At Q-Centrix, data integrity encompasses much more than data quality alone. Instead, data integrity refers to ensuring the accuracy, completeness, and consistency of data holistically during the entire data lifecycle—not just at the end. Data integrity drives continuous improvement across multiple, distinct quality touches, making certain that the information clinical and quality leaders use to drive decision-making is as accurate as possible. Moreover, Q-Centrix believes data integrity begins at the foundational level, starting with what data experts need to succeed. By committing to the four foundations of Q-Centrix’s data integrity program—experience, knowledge, innovation, and investment—Q-Centrix provides its data experts with the resources and support systems that empower them to ensure data integrity most effectively.
Without a thorough, reliable data integrity process, healthcare organizations run the risk of making critical medical errors, breaching regulatory requirements, and compromising patient safety. However, the challenges many facilities face—which may include limited staff time and resources, a lack of consistent data standards, difficulties keeping up with changing regulations, and a lack of staff experienced in data quality assurance—can pose major roadblocks.
This guide discusses Q-Centrix’s data integrity process, detailing the intricate methods involved in ensuring high-fidelity data every step of the way. It also shares what hospital and health system partners can expect from a data integrity standpoint when they partner with Q-Centrix.
Q-Centrix spends approximately 10,000 hours per month conducting quality-related checks on data.
Data integrity is paramount to achieving optimal patient care, regulatory compliance, and operational excellence. However, not all data integrity methods are created equal. One quality check at the end of the data lifecycle is not enough to provide the high level of accuracy healthcare facilities need. Q-Centrix’s comprehensive data integrity process, which includes a dedicated team of clinical data experts, quality checks at every stage, and AI-driven software, empowers clinical and quality leaders to have the utmost confidence in their clinical data. Partnering with experts who are wholeheartedly committed to data integrity allows clinical and quality leaders to spend less time performing quality checks and more time using their data to drive process improvements and improve patient care.