The Future of Imaging by 2030: From PACS to Cognitive Enterprise Imaging Platforms (2025)-WEB07-2025

Video Transcription

Video Summary

This ACFA Healthcare RSNA webinar explores the future of medical imaging by 2030, focusing on enterprise imaging's role in transforming radiology workflows amid growing complexity and demand. Experts Dr. Cal Clark (UTHealth, USA) and Dr. Sanjoy Nagarajah (Sheffield NHS, UK) discuss key challenges such as clinician burnout, rising case complexity, and radiologist shortages. They emphasize the critical role of radiology as the "grease" enabling efficient healthcare functioning. Advances like enterprise imaging systems streamline workflows, improve image access across institutions, and enable subspecialty case management, which boosts efficiency by up to 50%. However, challenges persist, including prioritizing urgent studies and managing heavy reporting burdens. AI's growing role is debated; while offering promise in workflow automation, triage, quality control, and report generation, concerns about algorithm accuracy, variability, integration, and independent validation remain. Future trends point toward tailored imaging per patient and institution, integrated multi-disciplinary data including pathology, and more intelligent, prescriptive AI to predict and optimize care delivery. Radiology is envisioned increasingly as a consultative powerhouse, providing data-driven guidance to clinicians. The discussion also highlights the need for thoughtful AI implementation and holistic enterprise imaging platforms that enhance both clinical efficiency and patient outcomes. The experts conclude that despite challenges and complexities ahead, radiology's future is bright with innovation and collaboration.

Keywords

ACFA Healthcare

RSNA webinar

medical imaging 2030

enterprise imaging

radiology workflows

clinician burnout

radiologist shortages

AI in radiology

multidisciplinary data integration