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Innovative use of health informatics to augment contact tracing during the COVID-19 pandemic in an acute hospital.
Venkataraman, Narayan; Poon, Beng Hoong; Siau, Chuin.
Afiliación
  • Venkataraman N; Data Management and Informatics, Changi General Hospital, Singapore, Singapore.
  • Poon BH; Data Management and Informatics, Changi General Hospital, Singapore, Singapore.
  • Siau C; Respiratory and Critical Care Medicine, Ambulatory Care, Changi General Hospital, Singapore, Singapore.
J Am Med Inform Assoc ; 27(12): 1964-1967, 2020 12 09.
Article en En | MEDLINE | ID: mdl-32835358
This case report describes the innovative design and build of an algorithm that integrates available data from separate hospital-based informatics systems, which perform different daily functions to augment the contact-tracing process of COVID-19 patients by identifying exposed neighboring patients and healthcare workers and assessing their risk. Prior to the establishment of the algorithm, contact-tracing teams comprising 6 members would spend up to 10 hours each to complete contact tracing for 5 new COVID-19 patients. With the augmentation by the algorithm, we observed ≥ 60% savings in overall man-hours needed for contact tracing when there were 5 or more daily new cases through a time-motion study and Monte Carlo simulation. This improvement to the hospital's contact-tracing process supported more expeditious and comprehensive downstream contact-tracing activities as well as improved manpower utilization in contact tracing.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Trazado de Contacto / Sistemas de Información en Hospital / COVID-19 Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Trazado de Contacto / Sistemas de Información en Hospital / COVID-19 Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Reino Unido