Hospitals don’t suffer from a lack of data; they suffer when data can’t be translated into timely, accountable action. Clinical, registry, and operational information often sits in different systems ...

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 ...

In this article, we outline actionable strategies for strengthening one of the most essential administrative data ...

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 ...

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 ...

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 ...

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. Processing Content ...

Quality Improvement (QI) projects require a series of distinct steps and timely data collection that will allow clinics to see if changes are yielding results, a consultant told attendees at a ...

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 ...

The RBI reported an improvement in the supervisory data quality index score for scheduled commercial banks, rising to 90.9 in ...

The Optimizing Obstetric Care Quality Initiative was launched to address persistently elevated obstetric length of stay (LOS), which had drifted two standard deviations above peer benchmarks. Early ...