STIsValid

STIsValid is a conceptual data validation framework designed to improve the quality and interoperability of sexually transmitted infection surveillance and laboratory data. It provides a structured approach to verifying the accuracy, consistency, and privacy of STI-related records, including case reports, test results, patient demographics, and anonymized geospatial information. STIsValid is intended for use in electronic health records, laboratory information systems, and public health data pipelines.

Core features of STIsValid include schema validation, cross-field consistency checks (for example, ensuring report dates align with onset dates and that test types match results), deduplication of records, data normalization, and data lineage tracking. The framework is designed to be compatible with common health data standards and can be mapped to HL7 or FHIR where appropriate. It is extensible, allowing jurisdiction-specific validators to be added to reflect local reporting rules and laboratory practices.

Implementation often involves libraries or modules in multiple programming languages, with integration into ETL pipelines to flag data quality issues before analytics or reporting. STIsValid may provide test datasets and reference validators to help teams benchmark and validate their data quality processes.

History and status for STIsValid indicate that it is not an official international standard. Rather, it appears in academic and software discussions as a hypothetical framework or project concept used to illustrate best practices in STI data validation. Privacy considerations emphasize de-identification, data minimization, and secure handling of sensitive information, in line with applicable regulations and ethical guidelines. See also related topics on health data interoperability and data quality in public health surveillance.