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 ...
BACKGROUND: This trial aimed to test the effectiveness of a data-driven quality improvement program in primary care on ...
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 ...
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 ...
In this article, we outline actionable strategies for strengthening one of the most essential administrative data assets—encounter data—and explain how improving this resource can unlock 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. Processing Content ...
Improve healthcare operations and leverage cutting-edge technology to enhance processes. The online Graduate Certificate in Healthcare Quality Improvement will help you hone your analytical skills to ...
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 ...
This is the third article in an ongoing series. Make sure to check out the previous articles Stronger together: How coalition ...
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 ...
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