Background: The promise of real-world evidence and the learning health care system primarily depends on access to high-quality data. Despite widespread awareness of the prevalence and potential impacts of poor data quality (DQ), best practices for its assessment and improvement are unknown.
Objective: This review aims to investigate how existing research studies define, assess, and improve the quality of structured real-world health care data.