The Future Of Remote Patient Monitoring In Decentralized Clinical Trials

Remote Patient Monitoring (RPM) is revolutionizing clinical trials by overcoming the limitations of traditional, site-centric models that relied on intermittent data collection and placed high burdens on patients and researchers alike. Historically plagued by manual processes, data gaps, and poor patient retention, clinical trials now benefit from wearable technologies and digital health tools that enable continuous, real-time monitoring regardless of patient location. This transformation is powered by cloud-based platforms and artificial intelligence, which turn vast RPM datasets into actionable insights, enabling earlier detection of safety signals, improved trial efficiency, and enhanced patient engagement.

Modern RPM devices—from smartwatches and biosensors to implantables—offer more accurate, passive data collection and support predictive analytics that can forecast patient outcomes and optimize trial decisions. Despite its promise, RPM faces challenges from ensuring device accuracy to managing a vast amount of data . Platforms like TrialKit address these issues by integrating RPM data with telehealth and eCOA tools in a centralized, secure environment. As regulatory frameworks evolve and interoperability improves, RPM will play a foundational role in shaping inclusive, data-rich decentralized trials that reduce costs, improve outcomes, and broaden access to underrepresented populations.