It is important to realize that most healthcare information systems employ basic algorithm matching techniques and these techniques usually only identify 10 to 40 percent of the existing duplicate records. A few healthcare information systems employ intermediate algorithm matching techniques, which will identify 50 to 70 percent of the existing duplicate records. Sophisticated EMPI solutions incorporate advanced algorithm matching techniques that can identify up to 98 percent of the existing duplicate records. However, the advanced algorithms are not commonly used in healthcare. When choosing algorithm software or vendor consultant services, organizations are advised to investigate and understand proposed measurement techniques to ensure the highest degree of accuracy. The record matching algorithm and procedures employed by the provider should be examined via an independent audit using advanced matching algorithms to validate that they work correctly. This process will help to minimize or eliminate those records that match inappropriately (false positives) and any excessive reporting of records that do not belong to the same person (false alarms) as well as records that should match but fail to do so (false negatives).