Evidence map›Paper›PMID 38851873›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

A near real-time interactive dashboard for monitoring and anticipating demands in emergency care in the Île-de-France region (France).

Matthieu Hanf, Léopoldine Salle, Charline Mas, Saif Eddine Ghribi, Mathias Huitorel, Nabia Mebarki, Sonia Larid, Jane-Lore Mazué, Mathias Wargon

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Matthieu HanfData Science and Analytics Department, SESAN, 75015 Paris, France.ORCID 0000-0001-7133-1323
Léopoldine SalleData Science and Analytics Department, SESAN, 75015 Paris, France.
Charline MasData Science and Analytics Department, SESAN, 75015 Paris, France.
Saif Eddine GhribiData Science and Analytics Department, SESAN, 75015 Paris, France.
Mathias HuitorelData Science and Analytics Department, SESAN, 75015 Paris, France.
Nabia MebarkiData Science and Analytics Department, SESAN, 75015 Paris, France.
Sonia LaridParis Area Observatory of Emergency and Unscheduled Care, 93200 Saint Denis, France.
Jane-Lore MazuéEmergency Care Department, Ile-de-France Regional Health Agency, 93200 Saint Denis, France.
Mathias WargonParis Area Observatory of Emergency and Unscheduled Care, 93200 Saint Denis, France.

Funding

Regional Île-de-France Health Agency
6 · The paper itself

Abstract

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

methodsData 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.

resultsThe 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.

conclusionsThe high access demand to the dashboard demonstrates the operational usefulness of real-time visualization of multisource data coupled with advanced analytics.

Indexed as

Emergency Medical ServicesEmergency Service, HospitalUser-Computer InterfaceAdolescentAdultAgedChildChild, PreschoolForecastingFranceHealth Services Needs and DemandHumansInfantMiddle AgedYoung Adultdata visualizationemergency careforecastinghealth informatics

Identifiers

PMID38851873
PMCPMC11413424

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.