Managing significant event data to make improvements
Ambulatory Quality and Compliance Insider, April 1, 2008
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These event data are among the most useful info you receive
Editor’s note: What is a realistic goal for the collection and best use of data at your organization? In the following book excerpt, Ken Rohde explains how to better manage your exception data (also known as problem data) and, in particular, your significant event data. Such data can cover many areas, such as patient falls, treatment problems, and security issues. This excerpt is adapted from Rohde’s new book, Making Your Data Work: Tools and Templates for Effective Analysis, published by HCPro. Rohde is a senior consultant for The Greeley Company, a division of HCPro, in Marblehead, MA.
Whenever an event results in consequences that we want to prevent from happening again, we conduct a causal analysis, sometimes called a root cause analysis (RCA), to determine why the specific event happened. These analyses have now generated “why” data that we need to manage.
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