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Healthcare personnel interactive pathogen exposure response system.
Smith, Leigh L; Fallon, Susan A; Virk, Zunaira Q; Salinas, Alejandra B; Curless, Melanie S; Cosgrove, Sara E; Maragakis, Lisa L; Rock, Clare; Klein, Eili Y.
Afiliación
  • Smith LL; Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Fallon SA; The Johns Hopkins Hospital Department of Hospital Epidemiology and Infection Control, Baltimore, Maryland.
  • Virk ZQ; The Johns Hopkins Hospital Department of Hospital Epidemiology and Infection Control, Baltimore, Maryland.
  • Salinas AB; Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Curless MS; Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Cosgrove SE; The Johns Hopkins Hospital Department of Hospital Epidemiology and Infection Control, Baltimore, Maryland.
  • Maragakis LL; Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Rock C; The Johns Hopkins Hospital Department of Hospital Epidemiology and Infection Control, Baltimore, Maryland.
  • Klein EY; Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Infect Control Hosp Epidemiol ; 44(8): 1358-1360, 2023 08.
Article en En | MEDLINE | ID: mdl-37114417
ABSTRACT
Exposure investigations are labor intensive and vulnerable to recall bias. We developed an algorithm to identify healthcare personnel (HCP) interactions from the electronic health record (EHR), and we evaluated its accuracy against conventional exposure investigations. The EHR algorithm identified every known transmission and used ranking to produce a manageable contact list.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Personal de Salud / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Infect Control Hosp Epidemiol Asunto de la revista: DOENCAS TRANSMISSIVEIS / ENFERMAGEM / EPIDEMIOLOGIA / HOSPITAIS Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Personal de Salud / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Infect Control Hosp Epidemiol Asunto de la revista: DOENCAS TRANSMISSIVEIS / ENFERMAGEM / EPIDEMIOLOGIA / HOSPITAIS Año: 2023 Tipo del documento: Article