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Are your healthcare improvement efforts stalled because of a lack of evidence? Is your department, unit, or hospital drowning in data but still unable to make the right decisions? Do you have extensive reporting systems in place that seem to “miss the mark?”
Analytics for healthcare improvement should result in actionable information that leads to the achievement of quality and performance goals. Analytics can thin-slice the information needed to tackle everyday quality and performance issues.
But healthcare analytics is still an emerging field. There are many misconceptions and myths surrounding healthcare improvement analytics. This document will address some of these myths, discuss how they have become barriers to applying analytics to healthcare improvement, and suggest approaches to navigate around (or completely remove) these barriers.
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