SynapseDX_ Transforming Healthcare at MGH - Slide Presentation
Published on Jul 29, 2026
Description:
This case study highlights the transformative partnership between SynapseDX and Massachusetts General Hospital, tackling the burden of modern radiology. Before SynapseDX, MGH's radiology team processed over 500,000 imaging studies annually, leading to extended hours, persistent report backlogs, and prolonged turnaround times of 48 hours for complex cases. This often resulted in delayed care and compromised outcomes for patients. SynapseDX, an AI-driven diagnostic platform, introduced a solution for precision and speed. It offers multi-modal analysis, AI-powered precision, and quantitative scoring, seamlessly integrating into existing PACS systems. It supports radiologists as an intelligent "second reader," enhancing diagnostic accuracy and confidence. The implementation involved a phased approach: Months 1-3 focused on data governance and model tuning, utilizing over 100,000 de-identified scans. Months 4-9 saw a pilot program in Thoracic and Breast Imaging, gathering feedback to refine the model. By Months 10-18, there was a hospital-wide integration, with training and support for over 200 radiologists. The results are compelling: Patient satisfaction increased by 37% in 18 months, with 98% reporting improved care quality. Operational efficiency saw wait times reduced by 42% and administrative overhead by 28% annually. Cost savings reached $2.4 million. Specifically, diagnostic accuracy improved by 10% for early-stage lung cancer, false negatives dropped by 20%, and unnecessary biopsies were reduced by 15%. Report turnaround time decreased by 40% from 48 hours to just 29 hours, and radiologist productivity increased by 30%. The report backlog was halved by 50%. Patient wait times for critical diagnoses were reduced by 60%, from 5 days to 2 days, and a 5% survival lift was achieved for early-stage cancer patients due to earlier detection. Dr. David Sinclair, CEO of Massachusetts General Hospital, calls this partnership "revolutionary," empowering clinicians with unprecedented insights for faster, more accurate care.