AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities
dc.rights.license | open | en_US |
hal.structure.identifier | Bordeaux population health [BPH] | |
dc.contributor.author | RUSSON, Dylan | |
hal.structure.identifier | Statistics In System biology and Translational Medicine [SISTM] | |
hal.structure.identifier | Bordeaux population health [BPH] | |
dc.contributor.author | AVALOS, Marta | |
hal.structure.identifier | Bordeaux population health [BPH] | |
dc.contributor.author | GUERRA-ADAMES, Ariel | |
hal.structure.identifier | Bordeaux population health [BPH] | |
dc.contributor.author | GIL-JARDINE, Cedric
ORCID: 0000-0001-5329-6405 IDREF: 159039223 | |
hal.structure.identifier | Bordeaux population health [BPH] | |
dc.contributor.author | LAGARDE, Emmanuel | |
dc.contributor.editor | Soon Ae Chun | |
dc.contributor.editor | TALBERT, Doug | |
dc.date.accessioned | 2024-09-18T11:38:11Z | |
dc.date.available | 2024-09-18T11:38:11Z | |
dc.date.issued | 2024-05-01 | |
dc.date.conference | 2024-05-19 | |
dc.identifier.issn | 2334-0754 | en_US |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/201655 | |
dc.description.abstractEn | There is a burgeoning interest in harnessing artificial intelligence (AI) to enhance patient flow within emergency departments (EDs). However, this advancement is accompanied by a significant risk: by relying on historical healthcare data, these AI tools may perpetuate existing systemic biases associated with gender, age, ethnicity, and socioeconomic status. This paper surveys studies identifying biases in ED data, offering context for concern about these biases. These insights are valuable for researchers developing AI to optimize ED workflows while accounting for ethical considerations. | |
dc.language.iso | EN | en_US |
dc.publisher | LibraryPress@UF | en_US |
dc.publisher | FLVC Library Services | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/ | |
dc.subject.en | Human/AI bias | |
dc.subject.en | Systematic discrimination issues via AI | |
dc.subject.en | Responsible AI | |
dc.subject.en | Data diversity and representation | |
dc.subject.en | Literature survey | |
dc.subject.en | AI in healthcare | |
dc.title.en | AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities | |
dc.type | Communication dans un congrès | en_US |
dc.identifier.doi | 10.32473/flairs.37 | en_US |
dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
dc.subject.hal | Informatique [cs]/Intelligence artificielle [cs.AI] | en_US |
dc.subject.hal | Mathématiques [math]/Optimisation et contrôle [math.OC] | en_US |
bordeaux.page | 4 | en_US |
bordeaux.volume | 37 | en_US |
bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | INSERM | en_US |
bordeaux.institution | INRIA | en_US |
bordeaux.conference.title | FLAIRS-37 2024 - 37th International FLAIRS Conference | en_US |
bordeaux.country | us | en_US |
bordeaux.title.proceeding | Proceedings of FLAIRS-37, May 19-21, Sandestin Beach, FL | en_US |
bordeaux.team | SISTM_BPH | en_US |
bordeaux.team | AHEAD_BPH | en_US |
bordeaux.conference.city | Miramar Beach | en_US |
bordeaux.import.source | hal | |
hal.identifier | hal-04575571 | |
hal.version | 1 | |
hal.invited | non | en_US |
hal.proceedings | oui | en_US |
hal.conference.organizer | The Florida Artificial Intelligence Research Society | en_US |
hal.conference.end | 2024-05-21 | |
hal.popular | non | en_US |
hal.audience | Internationale | en_US |
hal.export | false | |
workflow.import.source | hal | |
dc.rights.cc | Pas de Licence CC | en_US |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2024-05-01&rft.volume=37&rft.spage=4&rft.epage=4&rft.eissn=2334-0754&rft.issn=2334-0754&rft.au=RUSSON,%20Dylan&AVALOS,%20Marta&GUERRA-ADAMES,%20Ariel&GIL-JARDINE,%20Cedric&LAGARDE,%20Emmanuel&rft.genre=unknown |