Run reports of data sorted by specific data elements
Healthcare Auditing Weekly, January 13, 2004
The audit team should decide as a group what types of reports they would like to examine during the data analysis portion of the audit. Generally, the data analysis should include a review of aggregate data for each data item collected. For example, if one of the data elements collected was "reason for coding change," a report should be run that contains the number of cases assigned to each reason.
The audit team can identify from this information that 90 of 200 cases were changed because of incomplete documentation at the time of initial coding. This item deserves further attention and documentation in the final report. Depending on the audit process, as many as 30 or 40 different reports can be run on the data collected during the audit. These reports should be reviewed to identify trends, patterns, inherent problems, and strengths. You will also want to look at changed by the following data elements:
For more information on data collection and record abstraction, order the book "Coding Compliance: A Practical Guide to the Audit Process." This book provides step-by-step guidance on how to conduct an audit, with dozens of sample forms, reports, and tools to simplify your audits, and advice on how to follow up on the results of your audits, such as by educating staff and returning money for overpayments. Other information in the book includes: education on the need for audits; how to carry them out; follow-up activities; attorney-client privilege (how to obtain it, and when it's appropriate to seek it), and explanations on the difference between monitoring and auditing. The book also includes explanations on the interface between these two functions. Click here to save 10% by ordering online.
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