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The effects and preventability of 2627 patient safety incidents related to health information technology failures: a retrospective analysis of 10 years of incident reporting in England and Wales.
Martin, Guy; Ghafur, Saira; Cingolani, Isabella; Symons, Joshua; King, Dominic; Arora, Sonal; Darzi, Ara.
Afiliação
  • Martin G; National Institutes of Health Research Patient Safety Translational Research Centre, St Mary's Hospital, Imperial College London, London, UK. Electronic address: guy.martin@imperial.ac.uk.
  • Ghafur S; Centre for Health Policy, Institute of Global Health Innovation, Imperial College London, London, UK.
  • Cingolani I; Big Data and Analytical Unit, Institute of Global Health Innovation, Imperial College London, London, UK.
  • Symons J; Big Data and Analytical Unit, Institute of Global Health Innovation, Imperial College London, London, UK.
  • King D; National Institutes of Health Research Patient Safety Translational Research Centre, St Mary's Hospital, Imperial College London, London, UK; DeepMind Health, London, UK.
  • Arora S; National Institutes of Health Research Patient Safety Translational Research Centre, St Mary's Hospital, Imperial College London, London, UK.
  • Darzi A; National Institutes of Health Research Patient Safety Translational Research Centre, St Mary's Hospital, Imperial College London, London, UK.
Lancet Digit Health ; 1(3): e127-e135, 2019 07.
Article em En | MEDLINE | ID: mdl-33323263
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Gestão de Riscos / Informática Médica / Erros Médicos / Segurança do Paciente Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Lancet Digit Health Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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XML
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Gestão de Riscos / Informática Médica / Erros Médicos / Segurança do Paciente Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Lancet Digit Health Ano de publicação: 2019 Tipo de documento: Article