The dark blue bars indicate the 'vital few' reasons and these should be acted on as a priority as opposed to the reasons in the less frequent bars which are coloured light blue. The most votes is represented by the highest frequency (the first bar) in the Pareto chart which is 'Routine bloods not collected'. After a brainstorming session a team has voted on what they believe most contributes to patients not being prescribed the correct anticoagulant dose. The example in Figure 2 (below) shows a Pareto Chart of team votes. However, some of the 'trivial many' factors may be simple to address (low hanging fruit) and therefore may be acted upon earlier rather than later. The types of medication errors that fall above the 80% cut off line are known as the 'trivial many' and are generally seen as not a high priority to address when compared to the 'vital few' factors.
The types of errors that fall under the 80% cut off line indicate the 'vital few' types of medication error that should be addressed as a priority as they contribute most to the problem ie: The results were collected initially in a Tally Sheet then the data was placed in descending order of frequency in a Pareto Chart Template in Excel. An audit of 430 medication errors was conducted to determine the categories (types) of errors and their frequency. The example in Figure 1 (above) shows a Pareto Chart of types of medication errors. It also helps a team communicate the rationale for focusing on certain areas.
Using a Pareto diagram helps a team concentrate its efforts on the factors that have the greatest impact. cumulative per cent dots that fall above the 80% cut off line). factors whose cumulative per cent (dots) fall under the 80% cut off line) from the 'trivial many' (factors that, while useful to know about, have a relatively smaller effect i.e. 2 go to DATA tab, click Sort Largest to Smallest command under Sort & Filter group to sort your selected data from largest to smallest. The ordering in a Pareto Chart helps identify the 'vital few' (the factors that warrant the most attention i.e. You can use the following steps: 1 select the Sales data from B2:B5 in Sales column.
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