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A quantitative approach for the analysis of clinician recognition of acute respiratory distress syndrome using electronic health record data.
Bechel, Meagan A; Pah, Adam R; Shi, Hanyu; Mehrotra, Sanjay; Persell, Stephen D; Weiner, Shayna; Wunderink, Richard G; Nunes Amaral, Luís A; Weiss, Curtis H.
Afiliación
  • Bechel MA; Medical Scientist Training Program, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America.
  • Pah AR; Department of Biomedical Engineering, Northwestern University, Evanston, IL, United States of America.
  • Shi H; Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL, United States of America.
  • Mehrotra S; Kellogg School of Management, Northwestern University, Evanston, IL, United States of America.
  • Persell SD; Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, United States of America.
  • Weiner S; Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, United States of America.
  • Wunderink RG; Division of General Internal Medicine and Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America.
  • Nunes Amaral LA; Center for Primary Care Innovation, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America.
  • Weiss CH; Michigan Oncology Quality Consortium, Ann Arbor, MI, United States of America.
PLoS One ; 14(9): e0222826, 2019.
Article en En | MEDLINE | ID: mdl-31539417
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Relaciones Médico-Paciente / Respiración Artificial / Síndrome de Dificultad Respiratoria / Volumen de Ventilación Pulmonar / Registros Electrónicos de Salud Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Relaciones Médico-Paciente / Respiración Artificial / Síndrome de Dificultad Respiratoria / Volumen de Ventilación Pulmonar / Registros Electrónicos de Salud Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos