scate mt Error Taxonomy: Examples of Most Frequent mt Errors

Keyword(s):  
2016 ◽  
Vol 24 (2) ◽  
pp. 261-267 ◽  
Author(s):  
Shailaja Menon ◽  
Hardeep Singh ◽  
Traber D Giardina ◽  
William L Rayburn ◽  
Brenda P Davis ◽  
...  

Objective: Methods to identify and study safety risks of electronic health records (EHRs) are underdeveloped and largely depend on limited end-user reports. “Safety huddles” have been found useful in creating a sense of collective situational awareness that increases an organization’s capacity to respond to safety concerns. We explored the use of safety huddles for identifying and learning about EHR-related safety concerns. Design: Data were obtained from daily safety huddle briefing notes recorded at a single midsized tertiary-care hospital in the United States over 1 year. Huddles were attended by key administrative, clinical, and information technology staff. We conducted a content analysis of huddle notes to identify what EHR-related safety concerns were discussed. We expanded a previously developed EHR-related error taxonomy to categorize types of EHR-related safety concerns recorded in the notes. Results: On review of daily huddle notes spanning 249 days, we identified 245 EHR-related safety concerns. For our analysis, we defined EHR technology to include a specific EHR functionality, an entire clinical software application, or the hardware system. Most concerns (41.6%) involved “EHR technology working incorrectly,” followed by 25.7% involving “EHR technology not working at all.” Concerns related to “EHR technology missing or absent” accounted for 16.7%, whereas 15.9% were linked to “user errors.” Conclusions: Safety huddles promoted discussion of several technology-related issues at the organization level and can serve as a promising technique to identify and address EHR-related safety concerns. Based on our findings, we recommend that health care organizations consider huddles as a strategy to promote understanding and improvement of EHR safety.


Author(s):  
Ying Qin

This study extracts the comments from a large scale of Chinese EFL learners' translation corpus to study the taxonomy of translation errors. Two unsupervised machine learning approaches are used to obtain the computational evidences of translation error taxonomy. After manually revision, ten types of English to Chinese (E2C) and eight types Chinese to English (C2E) translation errors are finally confirmed. There probably exists three categories of top-level errors according to the hierarchical clustering results. In addition, three supervised learning methods are applied to automatically recognize the types of errors, among which the highest performance reaches F1 = 0.85 on E2C and F1 = 0.90 on C2E translation. Further comparison to the intuitive or theoretical studies on translation taxonomy shows some phenomenon accompanied by language skill improvement of Chinese learners. Analysis on translation problems based on machine learning provides the objective insight and understanding on the students' translations.


1999 ◽  
Vol 56 (4) ◽  
pp. 314-314
Author(s):  
Nancy Tarleton Landis

2018 ◽  
Vol 89 (10) ◽  
pp. A10.1-A10
Author(s):  
Scotton Sangeeta ◽  
Liczkowski Anthony ◽  
Mollan Susan P ◽  
Sinclair Alexandra J

ObjectiveTo quantify the rate of diagnostic error amongst patients with IIH. Additionally to identify factors contributing to diagnostic error.MethodsSequential patients referred with a diagnosis of IIH to the Birmingham tertiary neuro-ophthalmology IIH clinic were prospectively included (October 2013- February 2017) A diagnostic error taxonomy tool was applied to cases referred as ‘definite’ or ‘possible’ IIH. Discrepancy between referred and final diagnosis were recorded. Results212 patients were referred, (96.2% female), 138/212 (65%) with definite IIH and 74/212 (35%) with possible IIH. Of those diagnosed with definite IIH 25% were not IIH and out of those diagnosed with possible IIH 57% were not IIH. Reasons for diagnostic error included incorrectly identifying papilloedema where in fact pseudopapilloedema existed and diagnosing IIH following an isolated lumbar puncture (LP) pressure >25 cmCSF (but in the absence of other diagnostic criteria for IIH). Misdiagnosis lead to 43% receiving unnecessary acetazolamide (or other diuretics) and 14% having multiple LPs.ConclusionsWe noted a high diagnostic error rate amongst IIH patients referred to a tertiary centre for ongoing management. Where there is doubt about the presence of true papilloedema early specialist review may reduce unnecessary treatment and LP’s.


2018 ◽  
Vol 26 (1) ◽  
pp. 18-31 ◽  
Author(s):  
Kayla B. Follmer ◽  
Brett H. Neely ◽  
Kisha S. Jones ◽  
Samuel T. Hunter

The purpose of this study was threefold: to expand the existing leader error taxonomy to include a third dimension of leader error (i.e., ethical errors), to examine the differential effects of error type on leader ratings, and to test a mediated model in which behavioral attribution mediated the relationship between error type and leader ratings. Results showed that ethical errors were distinct from previously established dimensions. Ethical and relationship errors resulted in lower ratings of leader liking and willingness to follow the leader, as compared to task errors. In addition to showing how error types differentially affected leader ratings, this study provided evidence for how this relationship is transmitted. Across two mediation models, behavioral attribution mediated the relationship between leader error and leader ratings after an error occurred. Theoretical and practical contributions are discussed as well as future directions for research.


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