The ACR Learning Network: Facilitating Local Performance Improvement Through Shared Learning.

Autor:	Larson DB; Senior Vice Chair, Strategy and Clinical Operations, Department of Radiology, Stanford University School of Medicine, Stanford, California; and Chair, ACR Commission on Quality and Safety. Electronic address: david.larson@stanford.edu., Tomkins KG; Department of Radiology, Stanford University School of Medicine, Stanford, California., Zacharias-Andrews K; American College of Radiology, Reston, Virginia., Irani N; Healthcare Quality Improvement Platform, Leawood, Kansas., Pittman SM; Department of Radiology, Stanford University School of Medicine, Stanford, California., Purysko AS; Section of Abdominal Imaging, Imaging Institute, Cleveland Clinic, Cleveland, Ohio. Electronic address: https://twitter.com/Purysko., Wandtke B; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, New York. Electronic address: https://twitter.com/DrWandtke., Bhargavan-Chatfield M; Executive Vice President for Quality and Safety, American College of Radiology, Reston, Virginia. Electronic address: https://twitter.com/MythreyiC.
Jazyk:	angličtina
Zdroj:	Journal of the American College of Radiology : JACR [J Am Coll Radiol] 2023 Mar; Vol. 20 (3), pp. 369-376.
DOI:	10.1016/j.jacr.2023.01.004
Abstrakt:	Purpose: The ACR Learning Network was established to test the viability of the learning network model in radiology. In this report, the authors review the learning network concept, introduce the ACR Learning Network and its components, and report progress to date and plans for the future. Methods: Patterned after institutional programs developed by the principal investigator, the ACR Learning Network was composed of four distinct improvement collaboratives. Initial participating sites were solicited through broad program advertisement. Candidate programs were selected on the basis of assessments of local leadership support, experience with quality improvement initiatives, intraorganizational relationships, and access to data and analytic support. Participation began with completing a 27-week formal quality improvement training and project support program, with local teams reporting weekly progress on a common performance measure. Results: Four improvement collaborative topics were chosen for the initial cohort with the following numbers of participating sites: mammography positioning (6), prostate MR image quality (6), lung cancer screening (6), and follow-up on recommendations for management of incidental findings (4). To date, all sites have remained actively engaged and have progressed in an expected fashion. A detailed report of the results of the improvement phase will be provided in a future publication. Conclusions: To date, the ACR Learning Network has successfully achieved planned milestones outlined in the program's plan, with preparation under way for the second and third cohorts. By providing a shared platform for improvement training and knowledge sharing, the authors are optimistic that the network may facilitate widespread performance improvement in radiology on a number of topics for years to come. (Copyright © 2023 American College of Radiology. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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