An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...

Electronic health record (EHR)–based real-world data (RWD) are integral to oncology research, and understanding fitness for use is critical for data users. Complexity of data sources and curation ...

To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...

Data quality in healthcare can directly affect patient outcomes, physicians’ decision-making abilities and more. Unfortunately, there are many examples of data quality issues running rampant in ...

Organizations addressing data quality issues as a strategic operation are positioned to adapt to latest trends and scale their businesses ...