Fine-grained record integration and linkage tool.
BACKGROUND
As part of the surveillance program to monitor the occurrence of birth defects in the metropolitan Atlanta area, we developed a record linkage software tool that provides latitude in the choice of linkage parameters, allows for efficient and accurate linkages, and enables objective assessments of the quality of the linked data.


METHODS
We developed and implemented a Java-based fine-grained probabilistic record integration and linkage tool (FRIL) that incorporates a rich collection of record distance metrics, search methods, and analysis tools. Along its workflow, FRIL provides a rich set of user-tunable parameters augmented with graphic visualization tools to assist users in understanding the effects of parameter choices. We used this software tool to link data from vital records (n = 1.25 million) with birth defects surveillance records (n = 12,700) from the metropolitan Atlanta Congenital Defects Program (MACDP) for the birth years 1967-2006.


RESULTS
Compared with the data linkage performed by conventional algorithms, the data linkage of birth certificates with birth defect records in MACDP using FRIL was more efficient. The linkage based on FRIL was also accurate, showing 99% precision and 95% recall. Based on positive user feedback, new features continue to be developed, and the tool is being adopted in several other data linkage projects in MACDP.


CONCLUSIONS
A software tool that allows significant user interaction and control, such as FRIL, can provide accurate data linkages for birth defect surveillance programs and allows an objective assessment of the quality of linked data.
Jurczyk
Pawel
P
National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia 30322, USA. pjurczy@emory.edu
Lu
James J
JJ
Xiong
Li
L
Cragan
Janet D
JD
Correa
Adolfo
A
D000013:Congenital Abnormalities / Q000453:epidemiology*; D005260:Female; D006801:Humans; D007231:Infant, Newborn; D008498:Medical Record Linkage / Q000379:methods*; D009035:Mothers; D011159:Population Surveillance; D011337:Probability Learning; D012984:Software