Real-World Matching Performance of Deidentified Record-Linking Tokens.

Objective: Our objective was to evaluate tokens commonly used by clinical research consortia to aggregate clinical data across institutions.

Methods: This study compares tokens alone and token-based matching algorithms against manual annotation for 20,002 record pairs extracted from the University of Texas Houston's clinical data warehouse (CDW) in terms of entity resolution.

Results: The highest precision achieved was 99.