Large-Scale Patient Registry for Mammography Screening

This case study outlines the development of a large-scale, automated patient registry by OM1 to evaluate the effectiveness of mammography screening modalities, specifically focusing on digital breast tomosynthesis (DBT). The registry aims to collect longitudinal data from diverse sources, enabling rapid analysis and dissemination of findings. The challenges faced included generating robust real-world data, understanding long-term performance, and overcoming the limitations of traditional research methods. The project goals included influencing clinical practice guidelines and supporting marketing claims. OM1's solution involved automating data collection and integration from multiple health systems, allowing for the analysis of over 1.1 million women and 2.5 million screenings. The results demonstrated significant efficiency improvements and the ability to conduct large-scale assessments of screening outcomes. The findings contribute to the growing evidence supporting DBT as a superior screening method, with implications for health equity and the adoption of best practices in breast cancer screening.