Synthetic health data faces twin pressures: trust and disclosure risk

Two HealthManagement.org reports highlight the main fault lines in synthetic health data today: whether it makes medical AI more trustworthy, and whether it can be shared without creating disclosure risk. One focuses on bias amplification and validation in clinical AI, while the other shows regulators requiring evidence that residual privacy risk is demonstrably low before synthetic health data is treated as non-personal.