Poor data quality is quietly undermining care in healthcare practices
From duplicate patient records to inconsistent coding, these issues don’t just frustrate staff—they jeopardize patient safety, delay treatments, and erode trust. Many practices rely on fragmented systems, making it nearly impossible to maintain clean, consistent data across touchpoints. The result? Inefficient workflows, billing errors, and missed opportunities for value-based care.
Medium-sized practices often lack the resources of large systems, but that doesn’t mean they can’t lead with data integrity. Investing in governance, validation tools, and interoperability isn’t just a tech upgrade—it’s a commitment to better care.
Only 20% of healthcare organizations fully trust their data. – Sage Growth – Market Report
Don’t take my word for it. Innovaccer™ lists five ways that poor data quality negatively impacts healthcare.
- Degraded patient care
- Ineffective decision making at point of care
- Difficult to achieve interoperability
- Non-adherence with industry compliance
- Slower development of new treatments and medicines
Read the details in Innovaccer’s take on how poor data impacts clinical and financial outcomes
Let’s stop treating data quality as a backend issue. It’s front and center in every patient interaction.