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Developing a digital data collection platform to measure the prevalence of sepsis in Wales.
Sharif, B; Lundin, R M; Morgan, P; Hall, J E; Dhadda, A; Mann, C; Donoghue, D; Brownlow, E; Hill, F; Carr, G; Turley, H; Hassall, J; Atkinson, M; Jones, M; Martin, R; Rollason, S; Ibrahim, Y; Kopczynska, M; Szakmany, T.
Afiliación
  • Sharif B; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Lundin RM; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Morgan P; Critical Care Directorate, Cardiff and Vale University Health Board.
  • Hall JE; Department of Anaesthesia, Intensive Care and Pain Medicine, Cardiff University.
  • Dhadda A; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Mann C; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Donoghue D; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Brownlow E; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Hill F; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Carr G; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Turley H; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Hassall J; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Atkinson M; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Jones M; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Martin R; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Rollason S; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Ibrahim Y; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Kopczynska M; Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
  • Szakmany T; Department of Anaesthesia, Intensive Care and Pain Medicine, Cardiff University szakmanyt1@cardiff.ac.uk.
J Am Med Inform Assoc ; 23(6): 1185-1189, 2016 11.
Article en En | MEDLINE | ID: mdl-27094989
OBJECTIVE: To develop a secure, efficient, and easy-to-use data collection platform to measure the prevalence of sepsis in Wales over 24 hours. MATERIALS AND METHODS: Open Data Kit was used on Android devices with Google App Engine and a digital data collection form. RESULTS: A total of 184 students participated in the study using 59 devices across 16 hospitals, 1198 datasets were submitted, and 97% of participants found the Open Data Kit form easy to use. DISCUSSION: We successfully demonstrated that by combining a reliable Android device, a free open-source data collection framework, a scalable cloud-based server, and a team of 184 medical students, we can deliver a low-cost, highly reliable platform that requires little training or maintenance, providing results immediately on completion of data collection. CONCLUSION: Our platform allowed us to measure, for the first time, the prevalence of sepsis in Wales over 24 hours.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Recolección de Datos / Sepsis / Aplicaciones Móviles Tipo de estudio: Prevalence_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2016 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Recolección de Datos / Sepsis / Aplicaciones Móviles Tipo de estudio: Prevalence_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2016 Tipo del documento: Article Pais de publicación: Reino Unido