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Data Integration

Meaning

Data Integration, in the context of hormonal health and wellness, is the clinical process of combining and synthesizing disparate data streams from various sources to form a comprehensive, unified, and actionable view of an individual’s physiological status. This includes merging quantitative laboratory results, such as hormone panels and metabolomic markers, with qualitative clinical information, lifestyle metrics, and subjective patient reports. The goal is to move beyond siloed results to create a holistic, personalized model of health.