Assessing the accuracy of ICD-10 coding for measuring rates of and mortality from acute kidney injury and the impact of electronic alerts: an observational cohort study.

Logan, Rachael; Davey, Peter; De Souza, Nicosha; Baird, David; Guthrie, Bruce; Bell, Samira

Logan, Rachael; Davey, Peter; De Souza, Nicosha; Baird, David; Guthrie, Bruce; Bell, Samira.

Afiliação

Logan R; Division of Population Health and Genomics, Medical Research Institute, University of Dundee, Dundee, UK.
Davey P; Division of Population Health and Genomics, Medical Research Institute, University of Dundee, Dundee, UK.
De Souza N; Division of Population Health and Genomics, Medical Research Institute, University of Dundee, Dundee, UK.
Baird D; Renal Unit, Ninewells Hospital and Medical School, NHS Tayside, Dundee, UK.
Guthrie B; Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK.
Bell S; Division of Population Health and Genomics, Medical Research Institute, University of Dundee, Dundee, UK.

Clin Kidney J ; 13(6): 1083-1090, 2020 Dec.

Article em En | MEDLINE | ID: mdl-33391753

Palavras-chave

ICD-10 coding; acute kidney injury; electronic alerts; epidemiology

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Kidney J Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google