Background: Despite progress in patient safety, misidentification errors in radiology such as ordering imaging on the wrong anatomic side persist. If undetected, these errors can cause patient harm for multiple reasons, in addition to producing erroneous electronic health records (EHR) data.
Objectives: We describe the pilot testing of a quality improvement methodology using electronic trigger tools and preimaging checklists to detect "wrong-side" misidentification errors in radiology examination ordering, and to measure staff adherence to departmental policy in error remediation.
Methods: We retrospectively applied and compared two methods for the detection of "wrong-side" misidentification errors among a cohort of all imaging studies ordered during a 1-year period (June 1, 2015-May 31, 2016) at our tertiary care hospital. Our methods included: (1) manual review of internal quality improvement spreadsheet records arising from the prospective performance of preimaging safety checklists, and (2) automated error detection via the development and validation of an electronic trigger tool which identified discrepant side indications within EHR imaging orders.
Results: Our combined methods detected misidentification errors in 6.5/1,000 of study cohort imaging orders. Our trigger tool retrospectively identified substantially more misidentification errors than were detected prospectively during preimaging checklist performance, with a high positive predictive value (PPV: 88.4%, 95% confidence interval: 85.4-91.4). However, two third of errors detected during checklist performance were not detected by the trigger tool, and checklist-detected errors were more often appropriately resolved ( < 0.00001, 95% confidence interval: 2.0-6.9; odds ratio: 3.6).
Conclusion: Our trigger tool enabled the detection of substantially more imaging ordering misidentification errors than preimaging safety checklists alone, with a high PPV. Many errors were only detected by the preimaging checklist; however, suggesting that additional trigger tools may need to be developed and used in conjunction with checklist-based methods to ensure patient safety.
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http://dx.doi.org/10.1055/s-0039-3402730 | DOI Listing |
Br J Radiol
January 2025
Royal United Hospital, Combe Park, Bath, Avon, BA1 3NG, UK.
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Conserv Biol
January 2025
Marine Mammal Research Program, Hawai'i Institute of Marine Biology, University of Hawai'i at Mānoa, Kāne'ohe, Hawai'i, USA.
Several legal acts mandate that management agencies regularly assess biological populations. For species with distinct markings, these assessments can be conducted noninvasively via capture-recapture and photographic identification (photo-ID), which involves processing considerable quantities of photographic data. To ease this burden, agencies increasingly rely on automated identification (ID) algorithms.
View Article and Find Full Text PDFBiodivers Data J
December 2024
Department of Biology, College of Natural Sciences, Kyungpook National University, Daegu, Republic of Korea Department of Biology, College of Natural Sciences, Kyungpook National University Daegu Republic of Korea.
Background: Ulleungdo and Dokdo, located in the East Sea, are volcanic islands with high ecological value due to their unique biodiversity. Although research on the insect fauna on these two Islands has been conducted from the early 19 century to recent times, limitations exist due to several issues, including misidentifications and historical errors. This study addresses these issues by conducting a comprehensive insect survey from 2020 to 2023, re-identifying misidentified specimens and compiling references to create an updated and accurate checklist of insect species for Ulleungdo and Dokdo.
View Article and Find Full Text PDFAccid Anal Prev
March 2025
Department of Management, Bar Ilan University, Ramat-Gan 52900, Israel.
This research investigates the effectiveness of nudge presentation on Hazard Perception (HP) during a computerized Hazard Perception Test (HPT). Three types of nudges were examined: Reminder, Social Norm, and Negative Reinforcement. Their effects on drivers' reaction times, hazard misidentifications (errors), and hazard recognition failures (misses) were analyzed.
View Article and Find Full Text PDFAnal Methods
January 2025
State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, P. R. China.
Fourier self-deconvolution is an effective method for resolving overlapping spectra. However, the selection of the half-width for the deconvolving function is often subjective, which can lead to either excessive convolution or insufficient resolution enhancement. Additionally, ion mobility peaks exhibit tailing effects, which may be misinterpreted as new peaks when the deconvolving function is modelled with a Gaussian function.
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