Data Governance Checklist:
Improve the Patient Experience with Whole Person Data and Insights
Healthcare organizations rely on high-quality data to make life-saving decisions, yet only 20% of organizations fully trust their data.1 High-quality data is usable and actionable, while low-quality data, such as duplicate records, missing data or obsolete information, negatively impacts healthcare efficiency and clinical outcomes.
Poor data quality can have far-reaching consequences for the patient experience, creating obstacles throughout their journey and eroding trust in the healthcare system. That’s why evaluating your organization’s data quality practices is critical and begins with asking the right questions.
Use this checklist to assess your current practices across the four pillars of data quality: accuracy, completeness, consistency and timeliness.
Mistaken identities and unmatched records are common, accounting for 70% of adverse outcomes. Download our infographic to understand the ripple effects of poor data quality and how to avoid them.