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A near real-time interactive dashboard for monitoring and anticipating demands in emergency care in the Île-de-France region (France).
Hanf, Matthieu; Salle, Léopoldine; Mas, Charline; Ghribi, Saif Eddine; Huitorel, Mathias; Mebarki, Nabia; Larid, Sonia; Mazué, Jane-Lore; Wargon, Mathias.
Afiliación
  • Hanf M; Data Science and Analytics Department, SESAN, 75015 Paris, France.
  • Salle L; CESP High Dimensional Biostatistics Team, UVSQ, Inserm, Université Paris-Saclay, 94807 Villejuif, France.
  • Mas C; Data Science and Analytics Department, SESAN, 75015 Paris, France.
  • Ghribi SE; Data Science and Analytics Department, SESAN, 75015 Paris, France.
  • Huitorel M; Data Science and Analytics Department, SESAN, 75015 Paris, France.
  • Mebarki N; Data Science and Analytics Department, SESAN, 75015 Paris, France.
  • Larid S; Data Science and Analytics Department, SESAN, 75015 Paris, France.
  • Mazué JL; Paris Area Observatory of Emergency and Unscheduled Care, 93200 Saint Denis, France.
  • Wargon M; Emergency Care Department, Ile-de-France Regional Health Agency, 93200 Saint Denis, France.
J Am Med Inform Assoc ; 31(10): 2369-2373, 2024 Oct 01.
Article en En | MEDLINE | ID: mdl-38851873
ABSTRACT

OBJECTIVE:

To allow health professionals to monitor and anticipate demands for emergency care in the Île-de-France region of France. MATERIALS AND

METHODS:

Data from emergency departments and emergency medical services are automatically processed on a daily basis and visualized through an interactive online dashboard. Forecasting methods are used to provide 7 days predictions.

RESULTS:

The dashboard displays data at regional and departmental levels or for 5 different age categories. It features summary statistics, historical values, predictions, comparisons to previous years, and monitoring of common reasons for care and outcomes.

DISCUSSION:

A large number of health professionals have already requested access to the dashboard (n = 606). Although the quality of data transmitted may vary slightly, the dashboard has already helped improve health situational awareness and anticipation.

CONCLUSIONS:

The high access demand to the dashboard demonstrates the operational usefulness of real-time visualization of multisource data coupled with advanced analytics.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Servicios Médicos de Urgencia / Servicio de Urgencia en Hospital Límite: Adolescent / Adult / Aged / Child / Child, preschool / Humans / Infant / Middle aged País/Región como asunto: Europa Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Servicios Médicos de Urgencia / Servicio de Urgencia en Hospital Límite: Adolescent / Adult / Aged / Child / Child, preschool / Humans / Infant / Middle aged País/Región como asunto: Europa Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Francia