{"doi":"10.1093/jamia/ocae151","title":"A near real-time interactive dashboard for monitoring and anticipating demands in emergency care in the Île-de-France region (France)","abstract":"<jats:title>Abstract</jats:title>\n               <jats:sec>\n                  <jats:title>Objective</jats:title>\n                  <jats:p>To allow health professionals to monitor and anticipate demands for emergency care in the Île-de-France region of France.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods</jats:title>\n                  <jats:p>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.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Results</jats:title>\n                  <jats:p>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.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Discussion</jats:title>\n                  <jats:p>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.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions</jats:title>\n                  <jats:p>The high access demand to the dashboard demonstrates the operational usefulness of real-time visualization of multisource data coupled with advanced analytics.</jats:p>\n               </jats:sec>","journal":"Journal of the American Medical Informatics Association","year":2024,"id":624962,"datarank":0.20794415416798362,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.0,"self_endowment_contribution":0.20794415416798362,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1615798,"name":"Léopoldine Salle","orcid":null,"position":1,"is_corresponding":false},{"id":1615799,"name":"Charline Mas","orcid":null,"position":2,"is_corresponding":false},{"id":1615800,"name":"Saif Eddine Ghribi","orcid":null,"position":3,"is_corresponding":false},{"id":1615801,"name":"Mathias Huitorel","orcid":null,"position":4,"is_corresponding":false},{"id":1615802,"name":"Nabia Mebarki","orcid":null,"position":5,"is_corresponding":false},{"id":1615803,"name":"Sonia Larid","orcid":null,"position":6,"is_corresponding":false},{"id":1615804,"name":"Jane-Lore Mazué","orcid":null,"position":7,"is_corresponding":false},{"id":1561793,"name":"Mathias Wargon","orcid":null,"position":8,"is_corresponding":false},{"id":1615797,"name":"Matthieu Hanf","orcid":"0000-0001-7133-1323","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"A near real-time interactive dashboard for monitoring and anticipating demands in emergency care in the Île-de-France region (France)","abstract":"<jats:title>Abstract</jats:title>\n               <jats:sec>\n                  <jats:title>Objective</jats:title>\n                  <jats:p>To allow health professionals to monitor and anticipate demands for emergency care in the Île-de-France region of France.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods</jats:title>\n                  <jats:p>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.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Results</jats:title>\n                  <jats:p>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.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Discussion</jats:title>\n                  <jats:p>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.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions</jats:title>\n                  <jats:p>The high access demand to the dashboard demonstrates the operational usefulness of real-time visualization of multisource data coupled with advanced analytics.</jats:p>\n               </jats:sec>","is_dataset_classified":null,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"38851873","pmcid":"PMC11413424","openalex_id":"https://openalex.org/W4399467272","authors":[],"funders":[{"funder_name":"Regional Île-de-France Health Agency","grant_id":"","title":null},{"funder_name":"Regional Île-de-France Health Agency","grant_id":"","title":null}],"total_grants":2,"fwci":1.6923,"citation_percentile":0.83141235,"influential_citations":0,"citation_trend":[{"year":2025,"count":2},{"year":2026,"count":1}],"oa_status":"green","license":"https://academic.oup.com/pages/standard-publication-reuse-rights","oa_locations":[{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11413424/pdf/ocae151.pdf","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11413424/pdf/ocae151.pdf","host_type":"repository"},{"url":"https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae151/58177461/ocae151.pdf","host_type":"publisher"},{"url":"https://academic.oup.com/jamia/article-pdf/31/10/2369/59206367/ocae151.pdf","host_type":"publisher"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11413424","host_type":"repository"},{"url":"https://doi.org/10.1093/jamia/ocae151","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/38851873","host_type":"repository"}],"fields_of_study":["Emergency and Acute Care Studies","Data-Driven Disease Surveillance","Trauma and Emergency Care Studies","Humans","France","Emergency Service, Hospital","Emergency Medical Services","User-Computer Interface","Adult","Middle Aged","Child","Adolescent","Aged","Child, Preschool","Health Services Needs and Demand","Infant","Young Adult","Forecasting"],"mesh_terms":["Adolescent","Adult","Aged","Child","Child, Preschool","Emergency Medical Services","Emergency Service, Hospital","Forecasting","France","Health Services Needs and Demand","Humans","Infant","Middle Aged","User-Computer Interface","Young Adult"],"keywords":["Dashboard","Analytics","Situation awareness","Anticipation (artificial intelligence)","Computer science","Data science","Medical emergency","Medicine","Engineering","Artificial intelligence","Forecasting","Emergency Care","Data Visualization","Health Informatics"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-04T05:22:41.171587Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}