Implementing Secondary Use of Healthcare Data Through High-Quality Primary Use: A Primary-Care-Pathway First Strategy
Abstract Secondary use of healthcare data for research, population health management, quality improvement, policy, and artificial intelligence cannot be implemented successfully as a purely technical data-platform initiative. Its reliability depends on the quality, provenance, semantic consistency, and clinical relevance of data generated during care. The central argument of this essay is that healthcare organizations should implement secondary data use through a “primary-use first” strategy: data must first help clinicians, nurses, patients, and multidisciplinary teams make better decisions in real care pathways. Only then can the same data become a trustworthy foundation for research, management, innovation, and AI. This requires clinical governance, workflow redesign, semantic standardization, continuous data-quality measurement, trustworthy access governance, and feedback loops that return value to care delivery. The learning health system provides the most appropriate conceptual ...