News | Clinical Decision Support | November 25, 2015

ACR Assist Empowers Radiologists to Efficiently Provide Value-based Imaging

Radiologist clinical decision support replaces variable, unstructured narrative report

November 25, 2015 — ACR Assist from the American College of Radiology enhances reporting systems with point-of-interpretation access to taxonomies, care pathways and algorithms, and classification and communication guidance to help radiologists produce structured, actionable reports in their natural workflow. Vendor-neutral ACR Assist is one of a suite of products that will help move Imaging 3.0 principles into daily clinical practice.

“ACR Assist brings evidence-based guidelines for recommendations and actionable reporting into clinical practice, providing guidance during interpretation at the time this information is most useful to radiologists,” says Keith Dreyer, DO, Ph.D., FACR, chair of the American College of Radiology Commission on Informatics. “The technology was developed to meet practices’ changing needs while enhancing patient care quality by integrating key, structured data elements into variable, free-form narrative reports,” he added.

The ACR Assist collection of structured information includes raw clinical content, an encoding scheme that allows this content to be consumed by commercial applications and a communication framework that facilitates content delivery. Core clinical components include computer-readable versions of structured classification and reporting taxonomies, such as Lung Cancer Screening Reporting and Data System (Lung-RADSM), Liver Imaging Reporting and Data System (LI-RADS), Prostate Imaging Reporting and Data System (PI-RADSM), care pathways/algorithms (such as those found in incidentalomas white papers), and classification and communication needs for actionable findings.

Reporting vendors will be able to incorporate ACR Assist clinical guidance objects into the reporting process and use natural language processing (NLP) to determine when to provide the interpreting radiologist with a particular content object at the optimum time in the workflow. Information will be provided as assistance within the conventional reporting process (such as the ability to select from one of the Lung-RADS classification codes) rather than replace it.  

The Imaging 3.0 Informatics Infrastructure, a technology-driven approach to value-based radiology, starts with ACR Select clinical decision support to ensure imaging appropriateness. It continues with ACR Assist, the next step in the radiology value chain, and continues with programs in development that will provide a standardized core set of terminology to enhance communications among informatics initiatives (ACR Common) and enhancements to the college’s image and data exchange transfer framework (ACR Connect).

ACR Assist, along with other value-based imaging tools, will be demonstrated by healthcare information technology companies at the Radiological Society of North America (RSNA) annual meeting.

For more information:

Related Content

Nuance Launches Cloud-Based mPower Clinical Analytics Platform at AHRA 2018
Technology | Analytics Software | August 16, 2018
At the Association for Medical Imaging Management (AHRA) 2018 Annual Meeting and Exposition, July 22-25 in Orlando, Fla...
Intel and Philips Demonstrate CPU Ability in Deep Learning Inference Test Cases
News | Artificial Intelligence | August 15, 2018
Intel and Philips recently tested two healthcare uses for deep learning inference models using Intel Xeon Scalable...
Guerbet Partners With Imalogix on Dose Optimization With Artificial Intelligence
News | Radiation Dose Management | August 14, 2018
August 14, 2018 — Guerbet LLC USA announced a commercial partnership with Imalogix, a provider of...
ACR LI-RADS Steering Committee Releases New Version of CT/MRI LI-RADS
News | Clinical Decision Support | August 13, 2018
August 13, 2018 — The American College of Radiology Liver Imaging Reporting and Data System (LI-RADS) steering commit
Visage Signs Mercy for Visage 7 Open Archive
News | Enterprise Imaging | August 09, 2018
Visage Imaging Inc. announced that it has signed a seven-year contract with Mercy, the fifth largest Catholic health...
Videos | Radiomics | August 09, 2018
A discussion with Martin Vallieres, Ph.D., post-doctoral fellow at McGill University, Montreal, Canada.
Aidoc Receives FDA Clearance for AI Detection of Acute Intracranial Hemorrhage
Technology | Clinical Decision Support | August 08, 2018
Aidoc announced that it was granted U.S. Food and Drug Administration (FDA) clearance for the first product of its...
Metro Health-University of Michigan Health Partners With Eon to Improve Lung Cancer Care
News | Oncology Diagnostics | August 07, 2018
Metro Health-University of Michigan Health announced it is partnering with healthcare data company Eon to improve the...
Artificial Intelligence in Medical Imaging to Top $2 Billion by 2023
News | Artificial Intelligence | August 06, 2018
The world market for machine learning in medical imaging is set for a period of robust growth and is forecast to top $2...
Imalogix Brings Fluoroscopy Capabilities to Radiation Dose Management Platform
Technology | Radiographic Fluoroscopy (RF) | August 06, 2018
Imalogix, a provider of artificial intelligence (AI) process and workflow solutions, announced the availability of the...
Overlay Init