The objective of this study was to present the characteristics of non-spinal musculoskeletal malpractice suits with attention to rates, anatomic location, and payments in a survey of 8,265 radiologists. The malpractice histories of 8,265 radiologists from 36 states were evaluated from credentialing data required of all radiologists participating in the network of One Call Medical, Inc., a broker for imaging tests in workmen's compensation cases. Twenty six hundred of the 8,265 radiologists (31.5 %) had at least one suit. Of the 4,741 total claims, 627 (13.2 %) were related to the bones and soft tissues. Four hundred seventeen (66.1 %) of them involved the musculoskeletal system other than the spine. A cause was known for 400. Of these, 91.8 % (367/400) resulted from an alleged failure to diagnose. The foot was the most common site with a rate 6.00 cases/1,000 radiologist's person years (95 % confidence interval (CI), 4.68-7.68), and the hip was second with a rate of 5.30 cases/1,000 person years (95 % CI, 4.15-6.76). The highest median payment related to ankle injuries with a median settlement of $72,500 (interquartile range (IQR), $40,000-$161,250). The state in which the highest median settlement occurred was Maryland ($125,000; IQR, $95,000-$230,000)) whereas Utah had the highest rate of suits (5.24 cases per 1,000 person years; CI, 3.03-9.04). Claims regarding foot and hip injury were the most common, but ankle settlements incurred the highest awards.
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http://dx.doi.org/10.1007/s10140-013-1154-4 | DOI Listing |
Turk J Med Sci
July 2024
Department of Pediatric Radiology, Ankara University School of Medicine, Ankara, Turkiye.
Radiol Artif Intell
January 2024
From the Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8th St, Biotech 4231, Troy, NY 12180 (J.Z., H.C., G.W., P.Y.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (G.D., M.K.K.).
Purpose To determine whether saliency maps in radiology artificial intelligence (AI) are vulnerable to subtle perturbations of the input, which could lead to misleading interpretations, using prediction-saliency correlation (PSC) for evaluating the sensitivity and robustness of saliency methods. Materials and Methods In this retrospective study, locally trained deep learning models and a research prototype provided by a commercial vendor were systematically evaluated on 191 229 chest radiographs from the CheXpert dataset and 7022 MR images from a human brain tumor classification dataset. Two radiologists performed a reader study on 270 chest radiograph pairs.
View Article and Find Full Text PDFKorean J Radiol
October 2023
Department of Radiology, School of Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Rev Col Bras Cir
July 2023
- Universidade Federal do Paraná, Departamento de Cirurgia - Curitiba - PR - Brasil.
Objective: diagnostic errors during the interpretation of an imaging test by the physician can lead to increased mortality and length of hospital stay for patients. The rate of divergence in the report given by a radiologist and an Emergency Physicians (EP) can reach over 20%. The objective of this study was to compare the unofficial tomographic reports issued by EP with the official reports issued by radiologists.
View Article and Find Full Text PDFDiagnostics (Basel)
February 2023
Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
: Motion-impaired CT images can result in limited or suboptimal diagnostic interpretation (with missed or miscalled lesions) and patient recall. We trained and tested an artificial intelligence (AI) model for identifying substantial motion artifacts on CT pulmonary angiography (CTPA) that have a negative impact on diagnostic interpretation. : With IRB approval and HIPAA compliance, we queried our multicenter radiology report database (mPower, Nuance) for CTPA reports between July 2015 and March 2022 for the following terms: "motion artifacts", "respiratory motion", "technically inadequate", and "suboptimal" or "limited exam".
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