How to assess patient record matching effectiveness

Determining how well patient matching is working is hard because there are a number of metrics that are misleading on their own and only tell part of the story.  The way key measures are defined and calculated is not consistent, making it impossible to objectively assess how effective a solution is or compare results across solutions.

You will learn

1. How to identify matches that were missed and matches that were improperly categorized
2. How to use a Confusion Matrix to organize false positive and false negative results
3. How to calculate automated match rate consistently
4. Suggestions for selecting a dataset