Canadian Health Information Management Association Practice Exam

Which algorithm is most effective for identifying potential duplicates in a Master Patient Index (MPI)?

1. Deterministic

2. EMPI

3. Probabilistic

4. Rules based

The correct answer is: Probabilistic

The most effective algorithm for identifying potential duplicates in a Master Patient Index (MPI) is the probabilistic algorithm. This approach is particularly suited for dealing with the inherent uncertainties and variations in patient data. Probabilistic algorithms work by calculating the likelihood that two records represent the same individual based on the similarities and differences in their attributes, such as names, birth dates, and other identifying information. They can effectively handle inconsistencies in the data, such as typographical errors or different formatting, by assigning weights to various matching criteria. This allows for more flexibility and a greater chance of accurately identifying true duplicates amidst the complexity and variability of health records. In contrast, while deterministic methods rely on strict matching criteria that often require exact matches, they can miss potential duplicates that may have minor discrepancies. The EMPI (Enterprise Master Patient Index) method is a system that supports the management of patient identity across various databases and systems but does not specifically denote an algorithm type. Rules-based approaches involve specific predefined criteria and can be limiting due to their rigidity. Given these factors, probabilistic algorithms are favored in the context of MPIs due to their robustness in identifying duplicates in a diverse range of patient data.