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The costs of inaccurate provider data are significant to HIM departments but difficult to quantify, and often hospitals are unaware of their data’s poor quality. Records containing errors such as wrong phone number, missing information, outdated details, and duplicate records are just a few of the accuracy problems plaguing most systems. Unfortunately, without dedicated resources and the right technology to keep data current, provider information quickly goes stale. The result is a sub-optimal network burdened with risks and inefficiencies and a direct threat to patient care. Access this case study and learn how University of Utah Health tackled data quality challenges by filling out the form below.
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