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Comparison of Record Linkage Software for Reduplicating Patient Identities in California's Prescription Drug Monitoring Program Tina Fa rales California Department of Justice Susan Stewart University
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01
Gather the data for comparison of record linkage.
02
Identify the common fields between the datasets that you want to compare.
03
Clean and preprocess the data to ensure consistency and accuracy.
04
Use a suitable algorithm or method for record linkage such as deterministic or probabilistic matching.
05
Apply the chosen method to compare the records and calculate the similarity or linkage scores.
06
Decide on a threshold or similarity score to determine whether two records are a match or not.
07
Review and validate the results of the comparison to ensure correctness and minimize errors.
08
Document the process and results of the comparison of record linkage for future reference.

Who needs comparison of record linkage?

01
Individuals or organizations dealing with large datasets and need to identify and link similar records.
02
Researchers or data analysts working with multiple datasets that require merging or integration.
03
Companies in the financial or insurance industry that need to identify duplicate or fraudulent records.
04
Government agencies or departments that need to consolidate or clean up their records.
05
Marketing agencies or businesses that want to identify potential customers or target specific demographics.
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Comparison of record linkage is a process of identifying and linking similar records from different datasets or sources.
Organizations or individuals who are working with multiple datasets and need to match or link records across them are required to file comparison of record linkage.
Comparison of record linkage can be filled out by providing relevant information about the datasets being compared and the matching criteria being used.
The purpose of comparison of record linkage is to identify and link records that refer to the same entity or individual across different datasets, facilitating data integration and analysis.
Information such as the datasets being compared, the fields used for matching, the matching criteria, and any assumptions or limitations must be reported on comparison of record linkage.
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