Natural-language cohort queries on a hospital data platform: accuracy and provenance in a real-world evaluation

Background: Accessing routinely collected clinical data for research remains technically demanding across heterogeneous hospital systems. This proof-of-concept study aimed to evaluate the accuracy and query-level traceability of a commercial natural-language (NL) data-query platform implemented at a university hospital. Methods: An on-premises data integration platform with an NL query interface (AIRE; Briya, Tel Aviv, Israel) was connected to the institutional health data platform across three tertiary-care hospitals under an approved pseudonymization and governance framework. Implementation

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