From Sensor Data to Clinical Decision Support: Translating Digital Biomarkers into Interoperable Health Data Infrastructures

Abstract

Digital biomarkers derived from sensor-based measurements are increasingly explored for monitoring functional status and disease progression. While advances in signal processing have enabled robust biomarker extraction, their translation into clinical systems remains limited. This paper analyzes the gap between sensor data acquisition and integration into interoperable health data infrastructures, using gait analysis as an example. We show that interoperability- rather than data acquisition or analysis-is the main bottleneck for clinical translation.