ArticleJAMA network open2022
Analysis of Radiology Report Recommendation Characteristics and Rate of Recommended Action Performance.
Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- Large Language Models for CAD-RADS 2.0 Extraction From Semi-Structured Coronary CT Angiography Reports: A Multi-Institutional Study.Korean journal of radiology · 2025Article
- Cumulative Effect of Targeted Interventions on Radiologist Recommendations for Additional Imaging.Radiology · 2025Article
- Article
- Patient Perspectives on Delayed Specialty Follow-Up After a Primary Care Visit.Journal of the American Board of Family Medicine : JABFM · 2025Article
- Interventions to improve timely cancer diagnosis: an integrative review.Diagnosis (Berlin, Germany) · 2025Review
- Use of ChatGPT Large Language Models to Extract Details of Recommendations for Additional Imaging From Free-Text Impressions of Radiology Reports.AJR. American journal of roentgenology · 2025Article
- Patient Photograph Association With Radiologist Recommendations for Additional Imaging.Journal of the American College of Radiology : JACR · 2025Observational
- Predictors of Physician Agreement With Radiologist-Recommended Follow-up Imaging.Journal of the American College of Radiology : JACR · 2025Article
- American College of Veterinary Radiology and European College of Veterinary Diagnostic Imaging consensus statement on imaging report foundations.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2025Article
- The Future of Artificial Intelligence in Clinical Radiology: Savior or False Hope?AJNR. American journal of neuroradiology · 2024Article
- Imaging-Based Disease Assessment and Management Recommendations: Impact of Multidisciplinary Sarcoma Tumor Board.Cancers · 2024Article
- Recommendations for Additional Imaging on Head and Neck Imaging Examinations: Interradiologist Variation and Associated Factors.AJR. American journal of roentgenology · 2024Article
- Association of patient and health care organization factors with incidental nodule guidelines adherence: A multi-system observational study.Lung cancer (Amsterdam, Netherlands) · 2024Observational
- Do patients who read visit notes on the patient portal have a higher rate of "loop closure" on diagnostic tests and referrals in primary care? A retrospective cohort study.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging.AJR. American journal of roentgenology · 2023Article
- Impact of an Automated Closed-Loop Communication and Tracking Tool on the Rate of Recommendations for Additional Imaging in Thoracic Radiology Reports.Journal of the American College of Radiology : JACR · 2023Article
- Closing the Loop: Re-engineering the Assessment and Tracking of Symptoms in Primary Care.Journal of general internal medicine · 2023Article
- Development and Assessment of an Information Technology Intervention to Improve the Clarity of Radiologist Follow-up Recommendations.JAMA network open · 2023Article
Corrections and comments
- Commented on byBeyond the2023
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Importance: Following up on recommendations from radiologic findings is important for patient care, but frequently there are failures to carry out these recommendations. The lack of reliable systems to characterize and track completion of actionable radiology report recommendations poses an important patient safety challenge. Objectives: To characterize actionable radiology recommendations and, using this taxonomy, track and understand rates of loop closure for radiology recommendations in a primary care setting. Design, Setting, and Participants: Radiology reports in a primary care clinic at a large academic center were redesigned to include actionable recommendations in a separate dedicated field. Manual review of all reports generated from imaging tests ordered between January 1 and December 31, 2018, by primary care physicians that contained actionable recommendations was performed. For this quality improvement study, a taxonomy system that conceptualized recommendations was developed based on 3 domains: (1) what is recommended (eg, repeat a test or perform a different test, specialty referral), (2) specified time frame in which to perform the recommended action, and (3) contingency language qualifying the recommendation. Using this framework, a 2-stage process was used to review patients' records to classify recommendations and determine loop closure rates and factors associated with failure to complete recommended actions. Data analysis was conducted from April to July 2021. Main Outcomes and Measures: Radiology recommendations, time frames, and contingencies. Rates of carrying out vs not closing the loop on these recommendations in the recommended time frame were assessed. Results: A total of 598 radiology reports were identified with structured recommendations: 462 for additional or future radiologic studies and 196 for nonradiologic actions (119 specialty referrals, 47 invasive procedures, and 43 other actions). The overall rate of completed actions (loop closure) within the recommended time frame was 87.4%, with 31 open loop cases rated by quality expert reviewers to pose substantial clinical risks. Factors associated with successful loop closure included (1) absence of accompanying contingency language, (2) shorter recommended time frames, and (3) evidence of direct radiologist communication with the ordering primary care physicians. A clinically significant lack of loop closure was found in approximately 5% of cases. Conclusions and Relevance: The findings of this study suggest that creating structured radiology reports featuring a dedicated recommendations field permits the development of taxonomy to classify such recommendations and determine whether they were carried out. The lack of loop closure suggests the need for more reliable systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.