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Brief communication: 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.
Afiliação
  • Hanf M; Data Science and Analytics Department, Sesan, Paris, France.
  • Salle L; Université Paris-Saclay, UVSQ, Inserm, CESP, High Dimensional Biostatistics Team, Villejuif, 94807, France.
  • Mas C; Data Science and Analytics Department, Sesan, Paris, France.
  • Ghribi SE; Data Science and Analytics Department, Sesan, Paris, France.
  • Huitorel M; Data Science and Analytics Department, Sesan, Paris, France.
  • Mebarki N; Data Science and Analytics Department, Sesan, Paris, France.
  • Larid S; Data Science and Analytics Department, Sesan, Paris, France.
  • Mazué JL; Regional Observatory on Emergency Care, Saint-Denis, France.
  • Wargon M; Emergency Care Department, Ile-de-France Regional Health Agency, Paris, France.
Article em En | MEDLINE | ID: mdl-38851873
ABSTRACT

OBJECTIVE:

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 five 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 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article