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Evaluation of real-world referential and probabilistic patient matching to advance patient identification strategy

A real-world evaluation across 47 million patient records compared referential matching to probabilistic matching. Referential matching achieved 93.51% sensitivity versus 63.66% for probabilistic, with comparable specificity. The paper supports the case for proactive duplicate detection at the point of registration - matching on name plus date of birth and phone number stops duplicate charts at the source rather than reconciling them later.

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Duplicate Patient Records - Implication for Missed Laboratory Results

A matched-cohort study in an ambulatory setting analyzing 904 abnormal laboratory results found that duplicate patient records raised the missed-result rate to 36% versus 28% for unique records (odds ratio 1.44). The paper supports the clinical case for stopping duplicates at registration: downstream lab results, prescriptions, and follow-up care all suffer when a patient has more than one chart.

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