SynapseDX_ Transforming Healthcare at MGH

A Transformative Partnership SynapseDX at Massachusetts General HospitalAgenda 01 The Challenge The Burden of Modern Radiology – addressing system overload and diagnostic delays. 02 The Solution Introducing SynapseDX – an AI-driven platform designed for precision and speed. 03 The Journey Collaborative Implementation – a step-bystep integration with clinical teams. 04 The Results Quantifiable Impact – measurable improvements in efficiency and accuracy metrics. 05 The Endorsement A Visionary's Perspective – exclusive insights from MGH leadership on the future of diagnostic excellence and patient care transformation.Executive Summary This case study presents a compelling narrative of howSynapseDX, our state-of-the-art AI medical diagnostic platform, partnered withMassachusetts General Hospital (MGH)to address critical challenges in radiology. By embedding AI-driven insights into clinical workflows, we delivered measurable impacts across care delivery, operational efficiency, and diagnostic precision—setting a new benchmark for AI integration in academic medicine. Diagnostic Accuracy Reduced false positives by 22% and improved early detection rates for complex pathologies. Empowers radiologists with AIaugmented confidence in critical diagnoses. Operational Efficiency Cut average case turnaround time by 35%, streamlining workflow bottlenecks. Enables radiology teams to prioritize high-acuity patient cases more effectively. Patient Outcomes Accelerated time-to-diagnosis by 40%, translating to faster treatment interventions. Delivers demonstrably better clinical outcomes across diverse patient demographics. This collaboration validates SynapseDX as a transformative force in healthcare AI—delivering tangible ROI, reducing clinician burnout, and redefining the standard of care for precision medicine delivery.01 The Challenge: Overcoming the Burden of Modern Radiology Faced with surging diagnostic demands, radiology departments worldwide struggle to balance speed, accuracy, and the growing complexity of patient cases.The Challenge: Overwhelming Workload & Burnout Before SynapseDX, MGH's radiology team processed over500,000imaging studies annually, creating a system strained to its breaking point. Extended Hours & Fatigue Radiologists worked grueling hours to keep pace, leading to chronic fatigue and cognitive overload during critical diagnostic tasks. Persistent Report Backlog Unprecedented study volumes created a backlog, delaying access to critical patient insights for referring physicians and care teams. Prolonged Turnaround Time (TAT) Complex case turnaround times regularly exceeded 48 hours, directly impacting timely treatment decisions and patient outcomes. Systemic Professional Burnout Relentless pressure eroded clinician well-being, increasing risks of diagnostic errors and exacerbating shortages in a high-demand field. “This growing gap between demand and capacity created a critical bottleneck in patient care, threatening the quality and timeliness of diagnoses.”The Challenge: Variability & Delayed Care Human interpretation, while informed by years of expertise, remains inherently subjective. This lack of absolute consistency creates a ripple effect of uncertainty that directly impacts patient safety, resource allocation, and overall healthcare efficiency. Inter-observer Variability For subtle pathologies like early-stage lung nodules or micro-calcifications, different radiologists may reach conflicting conclusions, introducing diagnostic inconsistency that undermines reliable care. Missed Diagnoses (False Negatives) Subjective oversight can lead to critical conditions being overlooked, resulting in false negatives. This delays lifesaving interventions, particularly dangerous for aggressive cancers or time-sensitive vascular events. Unnecessary Interventions (False Positives) Over-interpretation can trigger avoidable follow-ups, invasive biopsies, or unnecessary treatments. This not only causes patient anxiety and financial strain but also exposes them to potential medical risks. Delayed Care & Compromised Outcomes Prolonged report turnaround times due to manual review leave urgent cases waiting. For patients with strokes, trauma, or rapidly progressing diseases, these delays directly worsen prognosis and survival rates.02 The Solution: Introducing SynapseDXThe Solution: SynapseDX Core Functionality SynapseDX is an advanced AI diagnostic platform engineered to augment radiologists' capabilities. By merging cutting-edge machine learning with deep medical imaging analysis, it transforms raw scan data into clear, contextualized insights, accelerating accurate diagnoses and improving patient outcomes. Multi-Modal Analysis Unifies X-ray, CT, MRI, and PET data into a single diagnostic view, eliminating siloed imaging analysis for a holistic patient picture. AI-Powered Precision Automatically detects and segments subtle lesions with high sensitivity, flagging early-stage indicators to reduce diagnostic delays. Quantitative Scoring Delivers precise volumetric measurements and AI-calculated risk stratification scores to support objective, evidence-based decisions. Seamless PACS EmbeIndstedgirreacttliyoninto existing hospital PACS systems as intuitive overlays, requiring no disruptive changes to radiologists' workflows. Federated Learning & Continuous Improvement The model evolves with every case using privacy-preserving federated learning, adapting to the unique patient demographics and clinical needs of your institution over time.Augmenting the Radiologist's Workflow SynapseDX is engineered to be non-disruptive, acting as an intelligent "second reader." It seamlessly integrates into existing PACS workflows, empowering radiologists with AI- driven insights to enhance diagnostic accuracy and confidence—without replacing the irreplaceable human expertise at the core of patient care. 01. Acquisition Automatically ingests imaging data directly from the hospital’s PACS system, initiating the process without manual input. 02. AI Analysis Deep learning algorithms process scans to identify suspicious lesions, calculate volumes, and generate critical quantitative metrics. 03. Smart Overlay AI annotations, heatmaps, and risk scores are overlaid directly onto the radiologist’s viewing monitor in real-time. 04. Expert Review & Decision Radiologists leverage AI insights to validate findings, reduce cognitive load, and make faster, more confident diagnostic decisions. 05. AI-Enriched Reporting The final report is generated with integrated AI data, creating a more comprehensive, data-rich document for clinicians and patients.03 The Journey: A Collaborative Implementation Bridging vision and execution through a tailored, partner-first approach—where technology meets human expertise to deliver sustainable, transformative results.