In measuring it is all about the quality of the data, good data is a result of a good measuring technique. So before you measure, let’s validate the method of measurement.
Your technique to measure should be:
- Precise - A precise technique does not deviate in the result of what is being measured. The way you measure and what you measure should be the same item.
- Repeatable – A repeatable technique let’s you measure the same object multiple times and get the same result.
- Reproducible - A reproducible technique can be repeated and the same outcomes are achieved.
- Stable - A stable technique is steady and constant and does not change over time. If repeated in the future, the reading would remain the same.
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Welcome to the Healthcare IT Project Management Blog of Elyse Nielsen. This is the place where I share the ideas I have learned, the things I’d like to remember, and my thoughts for a brighter future. Find out more.
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