Poor Data Quality Can Disrupt the Patient Journey and Erode Patient Trust
High-quality data is vital for informed decision making, good health outcomes and excellent patient experience. Yet for many, the healthcare journey is rife with obstacles caused by poorly reconciled patient data. In fact, mistaken identities and unmatched records account for 70% of adverse outcomes.1
No one feels this disconnect more than patients. In this infographic, we follow a fictional patient, Sophia, as she faces the challenges caused by poorly reconciled demographic and health data. She experiences care delays, medication errors and identity mix-ups, and as a result, has begun to lose faith in her healthcare organization.
Healthcare Organizations Can Take Measures to Improve the Whole Healthcare Journey
But a better patient journey is possible, one that creates smoother care transitions, ensures accurate record matching and restores faith in the healthcare system. By adopting these strategies, Sophia’s healthcare organization can give her and others a positive experience throughout their healthcare journey.
This infographic describes three measures healthcare organizations can take to reliably link and enrich data, as well as deliver a superior digital experience while safeguarding health data.
Download our infographic to understand the effects of poor data quality on patients like Sophia and learn how organizations can solve the problems through better data reconciliation.
Evaluating your organization’s data quality practices is critical and begins with asking the right questions. Use this checklist to assess your current practices.