Revealing the most common reporting errors through data mining of the report proofreading process.

Vosshenrich, Jan; Nesic, Ivan; Cyriac, Joshy; Boll, Daniel T; Merkle, Elmar M; Heye, Tobias

Vosshenrich, Jan; Nesic, Ivan; Cyriac, Joshy; Boll, Daniel T; Merkle, Elmar M; Heye, Tobias.

Afiliação

Vosshenrich J; Department of Radiology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland. jan.vosshenrich@usb.ch.
Nesic I; Department of Radiology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
Cyriac J; Department of Radiology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
Boll DT; Department of Radiology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
Merkle EM; Department of Radiology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
Heye T; Department of Radiology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.

Eur Radiol ; 31(4): 2115-2125, 2021 Apr.

Article em En | MEDLINE | ID: mdl-32997178

Assuntos

Sistemas de Informação em Radiologia; Radiologia; Mineração de Dados; Humanos; Radiografia; Relatório de Pesquisa

Palavras-chave

Education; Medical errors; Patient safety; Report; Residency

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Sistemas de Informação em Radiologia Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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