Analyzing data quality issues


Assignment:

When there are mistakes in data entering, it translates into problems in patient care, reimbursement, and research. The problem of poor data crosses departments and organizations, filtering into decisions that are made based on the data.

  • What are some examples (real or fictitious) of data entry issues that could compromise data quality?
  • What implications are there compromised data?
  • What can be done to mitigate mistakes associated with entering data?

Your answer must be typed, double-spaced, Times New Roman font (size 12), one-inch margins on all sides, APA format.

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