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SHEA position statement on pandemic preparedness for policymakers: pandemic data collection, maintenance, and release.
Branch-Elliman, Westyn; Banach, David B; Batshon, Lynne J; Dumyati, Ghinwa; Haessler, Sarah; Hsu, Vincent P; Jump, Robin L P; Malani, Anurag N; Mathew, Trini A; Murthy, Rekha K; Pergam, Steven A; Shenoy, Erica S; Weber, David J.
Afiliación
  • Branch-Elliman W; Veterans Affairs Boston Healthcare System, Boston, MA, USA.
  • Banach DB; VA National Artificial Intelligence Institute (NAII), Washington, DC, USA.
  • Batshon LJ; Harvard Medical School, Boston, MA, USA.
  • Dumyati G; University of Connecticut School of Medicine, Farmington, CT, USA.
  • Haessler S; Yale School of Public Health, New Haven, CT, USA.
  • Hsu VP; Society for Healthcare Epidemiology of America (SHEA), Arlington, VA, USA.
  • Jump RLP; University of Rochester Medical Center, Rochester, NY, USA.
  • Malani AN; Center for Community Health, Rochester, NY, USA.
  • Mathew TA; Baystate Medical Center, Springfield, MA, USA.
  • Murthy RK; University of Massachusetts Chan Medical School - Baystate, Springfield, MA, USA.
  • Pergam SA; AdventHealth, Altamonte Springs, FL, USA.
  • Shenoy ES; Loma Linda University School of Medicine, Loma Linda, CA, USA.
  • Weber DJ; Geriatric Research Education and Clinical Center (GRECC), Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA.
Infect Control Hosp Epidemiol ; 45(7): 821-825, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38835230
ABSTRACT
The Society for Healthcare Epidemiology in America (SHEA) strongly supports modernization of data collection processes and the creation of publicly available data repositories that include a wide variety of data elements and mechanisms for securely storing both cleaned and uncleaned data sets that can be curated as clinical and research needs arise. These elements can be used for clinical research and quality monitoring and to evaluate the impacts of different policies on different outcomes. Achieving these goals will require dedicated, sustained and long-term funding to support data science teams and the creation of central data repositories that include data sets that can be "linked" via a variety of different mechanisms and also data sets that include institutional and state and local policies and procedures. A team-based approach to data science is strongly encouraged and supported to achieve the goal of a sustainable, adaptable national shared data resource.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Recolección de Datos / Pandemias Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Infect Control Hosp Epidemiol Asunto de la revista: DOENCAS TRANSMISSIVEIS / ENFERMAGEM / EPIDEMIOLOGIA / HOSPITAIS Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Recolección de Datos / Pandemias Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Infect Control Hosp Epidemiol Asunto de la revista: DOENCAS TRANSMISSIVEIS / ENFERMAGEM / EPIDEMIOLOGIA / HOSPITAIS Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos