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Data Integrity Measures

Meaning

Data Integrity Measures refer to the comprehensive set of technical, administrative, and procedural safeguards implemented to ensure that clinical and research data is accurate, complete, consistent, and trustworthy throughout its entire lifecycle. In the context of hormonal health, this is crucial for maintaining the reliability of patient records, diagnostic test results, and longitudinal monitoring data, which are the foundation for personalized therapeutic decisions. These measures prevent the accidental or intentional alteration, loss, or corruption of sensitive physiological information, ensuring that clinical interventions are based on verifiable and high-quality evidence. The reliability of hormone panels and metabolic profiles hinges entirely on the robust application of these integrity protocols.