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10.1016/j.jacr.2021.01.013

http://scihub22266oqcxt.onion/10.1016/j.jacr.2021.01.013
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suck abstract from ncbi


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pmid33609456      J+Am+Coll+Radiol 2021 ; 18 (7): 1000-1008
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  • RadTranslate: An Artificial Intelligence-Powered Intervention for Urgent Imaging to Enhance Care Equity for Patients With Limited English Proficiency During the COVID-19 Pandemic #MMPMID33609456
  • Chonde DB; Pourvaziri A; Williams J; McGowan J; Moskos M; Alvarez C; Narayan AK; Daye D; Flores EJ; Succi MD
  • J Am Coll Radiol 2021[Jul]; 18 (7): 1000-1008 PMID33609456show ga
  • PURPOSE: Disproportionally high rates of coronavirus disease 2019 (COVID-19) have been noted among communities with limited English proficiency, resulting in an unmet need for improved multilingual care and interpreter services. To enhance multilingual care, the authors created a freely available web application, RadTranslate, that provides multilingual radiology examination instructions. The purpose of this study was to evaluate the implementation of this intervention in radiology. METHODS: The device-agnostic web application leverages artificial intelligence text-to-speech technology to provide standardized, human-like spoken examination instructions in the patient's preferred language. Standardized phrases were collected from a consensus group consisting of technologists, radiologists, and ancillary staff members. RadTranslate was piloted in Spanish for chest radiography performed at a COVID-19 triage outpatient center that served a predominantly Spanish-speaking Latino community. Implementation included a tablet displaying the application in the chest radiography room. Imaging appointment duration was measured and compared between pre- and postimplementation groups. RESULTS: In the 63-day test period after launch, there were 1,267 application uses, with technologists voluntarily switching exclusively to RadTranslate for Spanish-speaking patients. The most used phrases were a general explanation of the examination (30% of total), followed by instructions to disrobe and remove any jewelry (12%). There was no significant difference in imaging appointment duration (11 +/- 7 and 12 +/- 3 min for standard of care versus RadTranslate, respectively), but variability was significantly lower when RadTranslate was used (P = .003). CONCLUSIONS: Artificial intelligence-aided multilingual audio instructions were successfully integrated into imaging workflows, reducing strain on medical interpreters and variance in throughput and resulting in more reliable average examination length.
  • |*COVID-19[MESH]
  • |*Limited English Proficiency[MESH]
  • |Artificial Intelligence[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]


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