Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

The new initiative aims to improve EMS data quality, reporting and use, with a focus on helping rural Florida agencies ...

A recent survey found that 23% of UK organisations still use manual processes to manage customer and prospect data, and 42% use Excel spreadsheets to detect data quality issues. These were among the ...

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 ...

The old adage of learning from your mistakes isn’t just good advice for people; it applies to healthcare organizations as well. When hospitals make mistakes in the ...

Citigroup is adding a second pair of hands to oversee improvements to the company's data quality management processes, which have been called out by regulators for being inadequate. Tim Ryan, who ...

Melissa Kotrys of the Contexture health information exchange previews her HIMSS26 panel session exploring how health data ...

DataGroomr's customers can now benefit from intelligent data quality improvement with real-time deduplication and AI-driven insights. DataGroomr leverages artificial intelligence at its core, setting ...

Sandesh Gawande, with 29+ years of experience in data and CEO of iceDQ: We engineer data reliability, because quality is never an accident. Organizations are investing heavily in AI and big data ...

Continuous electronic monitoring with telemetry is an important hospital practice for monitoring patients who are at high risk of serious cardiac events. Unfortunately, it is often overutilized. When ...