A near real-time interactive dashboard for monitoring and anticipating demands in emergency care in the Île-de-France region (France)
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 int...
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| Veröffentlicht in: | Journal of the American Medical Informatics Association : JAMIA 2024-10, Vol.31 (10), p.2369-2373 |
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| container_issue | 10 |
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| container_title | Journal of the American Medical Informatics Association : JAMIA |
| container_volume | 31 |
| creator | Hanf, Matthieu Salle, Léopoldine Mas, Charline Ghribi, Saif Eddine Huitorel, Mathias Mebarki, Nabia Larid, Sonia Mazué, Jane-Lore Wargon, Mathias |
| description | 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. |
| doi_str_mv | 10.1093/jamia/ocae151 |
| format | Article |
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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.</description><identifier>ISSN: 1067-5027</identifier><identifier>ISSN: 1527-974X</identifier><identifier>EISSN: 1527-974X</identifier><identifier>DOI: 10.1093/jamia/ocae151</identifier><language>eng</language><publisher>Oxford University Press</publisher><ispartof>Journal of the American Medical Informatics Association : JAMIA, 2024-10, Vol.31 (10), p.2369-2373</ispartof><rights>The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2024</rights><rights>The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c189t-75d547d29dae3cf9cd8879ba32f0a12b59b4f02833305acde5443e0c78f44d23</cites><orcidid>0000-0001-7133-1323</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1578,27901,27902</link.rule.ids></links><search><creatorcontrib>Hanf, Matthieu</creatorcontrib><creatorcontrib>Salle, Léopoldine</creatorcontrib><creatorcontrib>Mas, Charline</creatorcontrib><creatorcontrib>Ghribi, Saif Eddine</creatorcontrib><creatorcontrib>Huitorel, Mathias</creatorcontrib><creatorcontrib>Mebarki, Nabia</creatorcontrib><creatorcontrib>Larid, Sonia</creatorcontrib><creatorcontrib>Mazué, Jane-Lore</creatorcontrib><creatorcontrib>Wargon, Mathias</creatorcontrib><title>A near real-time interactive dashboard for monitoring and anticipating demands in emergency care in the Île-de-France region (France)</title><title>Journal of the American Medical Informatics Association : JAMIA</title><description>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.</description><issn>1067-5027</issn><issn>1527-974X</issn><issn>1527-974X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkL9OwzAQxiMEEqUwsnssg6n_xE0yVhUFpEosHdiiq31pXSV2sV2kvgAjL8WLkVIkRobT3X363XfSl2W3nN1zVsnxFjoLY68BueJn2YArUdCqyF_P-5lNCqqYKC6zqxi3jPGJkGqQfUyJQwgkILQ02Q6JdQkD6GTfkRiIm5WHYEjjA-m8s8kH69YEnOkrWW13kI6Cwa7XYn9NsMOwRqcPREM4-pG0QfL12SI1SOcBnMb-39p6R0an9e46u2igjXjz24fZcv6wnD3Rxcvj82y6oJqXVaKFMiovjKgMoNRNpU1ZFtUKpGgYcLFS1SpvmCillEyBNqjyXCLTRdnkuRFymI1Otrvg3_YYU93ZqLFtwaHfx1qyiapKIYXqUXpCdfAxBmzqXbAdhEPNWX2Mu_6Ju_6N-8_a73f_oN_gA4UH</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>Hanf, Matthieu</creator><creator>Salle, Léopoldine</creator><creator>Mas, Charline</creator><creator>Ghribi, Saif Eddine</creator><creator>Huitorel, Mathias</creator><creator>Mebarki, Nabia</creator><creator>Larid, Sonia</creator><creator>Mazué, Jane-Lore</creator><creator>Wargon, Mathias</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7133-1323</orcidid></search><sort><creationdate>20241001</creationdate><title>A near real-time interactive dashboard for monitoring and anticipating demands in emergency care in the Île-de-France region (France)</title><author>Hanf, Matthieu ; Salle, Léopoldine ; Mas, Charline ; Ghribi, Saif Eddine ; Huitorel, Mathias ; Mebarki, Nabia ; Larid, Sonia ; Mazué, Jane-Lore ; Wargon, Mathias</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c189t-75d547d29dae3cf9cd8879ba32f0a12b59b4f02833305acde5443e0c78f44d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hanf, Matthieu</creatorcontrib><creatorcontrib>Salle, Léopoldine</creatorcontrib><creatorcontrib>Mas, Charline</creatorcontrib><creatorcontrib>Ghribi, Saif Eddine</creatorcontrib><creatorcontrib>Huitorel, Mathias</creatorcontrib><creatorcontrib>Mebarki, Nabia</creatorcontrib><creatorcontrib>Larid, Sonia</creatorcontrib><creatorcontrib>Mazué, Jane-Lore</creatorcontrib><creatorcontrib>Wargon, Mathias</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American Medical Informatics Association : JAMIA</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hanf, Matthieu</au><au>Salle, Léopoldine</au><au>Mas, Charline</au><au>Ghribi, Saif Eddine</au><au>Huitorel, Mathias</au><au>Mebarki, Nabia</au><au>Larid, Sonia</au><au>Mazué, Jane-Lore</au><au>Wargon, Mathias</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A near real-time interactive dashboard for monitoring and anticipating demands in emergency care in the Île-de-France region (France)</atitle><jtitle>Journal of the American Medical Informatics Association : JAMIA</jtitle><date>2024-10-01</date><risdate>2024</risdate><volume>31</volume><issue>10</issue><spage>2369</spage><epage>2373</epage><pages>2369-2373</pages><issn>1067-5027</issn><issn>1527-974X</issn><eissn>1527-974X</eissn><abstract>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.</abstract><pub>Oxford University Press</pub><doi>10.1093/jamia/ocae151</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0001-7133-1323</orcidid></addata></record> |
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| ispartof | Journal of the American Medical Informatics Association : JAMIA, 2024-10, Vol.31 (10), p.2369-2373 |
| issn | 1067-5027 1527-974X 1527-974X |
| language | eng |
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| source | Oxford University Press Journals All Titles (1996-Current) |
| title | A near real-time interactive dashboard for monitoring and anticipating demands in emergency care in the Île-de-France region (France) |
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