Covid-19 triage in the emergency department 2.0: how analytics and AI transform a human-made algorit...
Covid-19 triage in the emergency department 2.0: how analytics and AI transform a human-made algorithm for the prediction of clinical pathways
About this item
Full title
Author / Creator
Bartenschlager, Christina C , Grieger, Milena , Erber, Johanna , Neidel, Tobias , Borgmann, Stefan , Vehreschild, Jörg J , Steinbrecher, Markus , Rieg, Siegbert , Stecher, Melanie , Dhillon, Christine , Ruethrich, Maria M , Jakob, Carolin E. M , Hower, Martin , Heller, Axel R , Vehreschild, Maria , Wyen, Christoph , Messmann, Helmut , Piepel, Christiane , Brunner, Jens O , Hanses, Frank , Römmele, Christoph , LEOSS study group and on behalf of the LEOSS study group
Publisher
New York, NY: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York, NY: Springer US
Subjects
More information
Scope and Contents
Contents
The Covid-19 pandemic has pushed many hospitals to their capacity limits. Therefore, a triage of patients has been discussed controversially primarily through an ethical perspective. The term triage contains many aspects such as urgency of treatment, severity of the disease and pre-existing conditions, access to critical care, or the classification...
Alternative Titles
Full title
Covid-19 triage in the emergency department 2.0: how analytics and AI transform a human-made algorithm for the prediction of clinical pathways
Authors, Artists and Contributors
Author / Creator
Grieger, Milena
Erber, Johanna
Neidel, Tobias
Borgmann, Stefan
Vehreschild, Jörg J
Steinbrecher, Markus
Rieg, Siegbert
Stecher, Melanie
Dhillon, Christine
Ruethrich, Maria M
Jakob, Carolin E. M
Hower, Martin
Heller, Axel R
Vehreschild, Maria
Wyen, Christoph
Messmann, Helmut
Piepel, Christiane
Brunner, Jens O
Hanses, Frank
Römmele, Christoph
LEOSS study group
on behalf of the LEOSS study group
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10485125
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10485125
Other Identifiers
ISSN
1572-9389,1386-9620
E-ISSN
1572-9389
DOI
10.1007/s10729-023-09647-2
