Measuring Radiology’s Impact: Core Concepts for Tracking Patient-Oriented Outcomes and Delivering High-Value Care—A Perspective by the ACR’s Relevance and Impact Committee

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Authors: Alexander M. McKinney, Thiago A. Braga, John E. Jordan, William F. Aufferman, Jeffrey B. Rykken, Eliot L. Siegel, Anil Chauhan, Francesco Alessandrino, Jose M. Net, Colin M. Segovis, Mai-Lan Ho, Nabile M. Safdar
+5 more Wende N. Gibbs, Naiim S. Ali, Adam E. Flanders, Amanda M. Crawford, Alexander J. Towbin
Cited by: 1
References: 2

Abstract

Radiology strongly impacts patient care. However, radiologists' potential to promote high-value care has long been underappreciated, partly related to difficulties in establishing their role in driving patient-oriented outcomes (e.g., reduced morbidity and mortality, improved quality of life). Recognizing this gap, the American College of Radiology convened the Relevance and Impact Committee to develop a framework for measuring radiologists' impact. The committee proposed two foundational concepts: diagnostic imaging provenance (the lineage underlying a diagnosis being established) and relevance (the manner in which a diagnosis relates to upstream reasons for examinations and downstream decision-making). The committee applied these concepts to develop the medical imaging life cycle framework as a patient- and practitioner-centric feedback loop whereby each examination serves as a potential care inflection point and pertinent positive and negative findings alter patient trajectories. Advances in data science, including large-scale EHR-driven analyses and generative artificial intelligence, now aid tracking of such relationships, helping to operationalize a long-standing vision of linking imaging to outcomes. This Perspective explores these core concepts and terminology underlying measurement of radiology's impact and seeks to provide a road map for their implementation within modern health care systems. Such application will promote radiologists' recognition as proximal agents of clinically impactful high-value care.

Fields of Study & Subjects

Radiology practices and education Artificial Intelligence in Healthcare and Education Healthcare cost quality practices

Publication details

Journal / source
American Journal of Roentgenology
Publisher
American Roentgen Ray Society
Volume
227
Issue
3
Pages
1–9
Publication date
27 May 2026
Language
EN