 The study presents the Learn, Assess, Manage and Prevent, LAMP, Platform, an open-source solution that addresses technical and organizational challenges in integrating patient-generated health data into research and clinical care by supporting research, data analysis, and implementation efforts around PGHD. The LAMP Platform enables interoperability with existing fast healthcare interoperability resources-based healthcare systems as well as consumer wearables and services such as Apple HealthKit and Google Fit, and offers robust support for artificial intelligence, behavioral feature extraction, interactive visualizations, and high-performance data processing through parallelization and vectorization techniques. The platform incorporates feedback from patients and clinicians alongside a standards-based approach to address these needs and functions across a wide range of use cases through its customizable and flexible components. This article was authored by Aditya Vaidyam, John Halamka, and John Torres.