{"id":"https://openalex.org/W4409072772","doi":"https://doi.org/10.54364/aaiml.2025.51187","title":"Development of a Large Language Model-based Multi-Agent Clinical Decision Support System for Korean Triage and Acuity Scale (KTAS)-Based Triage and Treatment Planning in Emergency Departments","display_name":"Development of a Large Language Model-based Multi-Agent Clinical Decision Support System for Korean Triage and Acuity Scale (KTAS)-Based Triage and Treatment Planning in Emergency Departments","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409072772","doi":"https://doi.org/10.54364/aaiml.2025.51187"},"language":"en","primary_location":{"id":"doi:10.54364/aaiml.2025.51187","is_oa":true,"landing_page_url":"https://doi.org/10.54364/aaiml.2025.51187","pdf_url":"https://doi.org/10.54364/aaiml.2025.51187","source":{"id":"https://openalex.org/S4210238872","display_name":"Advances in Artificial Intelligence and Machine Learning","issn_l":"2582-9793","issn":["2582-9793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Artificial Intelligence and Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.54364/aaiml.2025.51187","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109786243","display_name":"Seungjun Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Seungjun Han","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113394167","display_name":"Wongyung Choi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wongyung Choi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109786243"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.1826,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.99272553,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"05","issue":"01","first_page":"3261","last_page":"3275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11095","display_name":"Emergency and Acute Care Studies","score":0.8269000053405762,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11095","display_name":"Emergency and Acute Care Studies","score":0.8269000053405762,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/triage","display_name":"Triage","score":0.9393405914306641},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.5540235042572021},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5204061269760132},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.37881407141685486},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06074732542037964}],"concepts":[{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.9393405914306641},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.5540235042572021},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5204061269760132},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.37881407141685486},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06074732542037964},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.54364/aaiml.2025.51187","is_oa":true,"landing_page_url":"https://doi.org/10.54364/aaiml.2025.51187","pdf_url":"https://doi.org/10.54364/aaiml.2025.51187","source":{"id":"https://openalex.org/S4210238872","display_name":"Advances in Artificial Intelligence and Machine Learning","issn_l":"2582-9793","issn":["2582-9793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Artificial Intelligence and Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.54364/aaiml.2025.51187","is_oa":true,"landing_page_url":"https://doi.org/10.54364/aaiml.2025.51187","pdf_url":"https://doi.org/10.54364/aaiml.2025.51187","source":{"id":"https://openalex.org/S4210238872","display_name":"Advances in Artificial Intelligence and Machine Learning","issn_l":"2582-9793","issn":["2582-9793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Artificial Intelligence and Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409072772.pdf","grobid_xml":"https://content.openalex.org/works/W4409072772.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4244703052","https://openalex.org/W573916668","https://openalex.org/W2253652533","https://openalex.org/W2144235366","https://openalex.org/W1746841752","https://openalex.org/W2170209416","https://openalex.org/W2133220257","https://openalex.org/W2940468400","https://openalex.org/W2375687796","https://openalex.org/W2323303890"],"abstract_inverted_index":{"Emergency":[0,98],"department":[1],"(ED)":[2],"overcrowding":[3,215],"and":[4,44,58,65,84,101,109,116,177,202,216,233,241],"the":[5,30,78,106,119,130,152,159,224],"complexity":[6],"of":[7,32,154,227],"rapid":[8],"decision-making":[9],"in":[10,60,147,164,230],"critical":[11,165,170],"care":[12,68,190,210],"settings":[13],"pose":[14],"significant":[15,184],"challenges":[16],"to":[17,54,151,223],"healthcare":[18],"systems":[19,25],"worldwide.":[20],"While":[21],"clinical":[22,45,138,242],"decision":[23],"support":[24],"(CDSS)":[26],"have":[27],"shown":[28],"promise,":[29],"integration":[31],"large":[33],"language":[34],"models":[35],"(LLMs)":[36],"offers":[37,199,234],"new":[38],"possibilities":[39],"for":[40,113,122,186,238],"enhancing":[41],"triage":[42,114,148],"accuracy":[43,146],"decisionmaking.":[46],"This":[47,220],"study":[48],"presents":[49],"an":[50],"LLM-driven":[51],"CDSS":[52,74,143,182],"designed":[53],"assist":[55],"ED":[56,94,102,214],"physicians":[57],"nurses":[59],"patient":[61,218],"triage,":[62],"treatment":[63,175],"planning,":[64,176],"overall":[66],"emergency":[67,139,189,208,231],"management.":[69,124,191],"We":[70],"developed":[71],"a":[72,137,155,200,235],"multi-agent":[73,181],"utilizing":[75],"Llama-3-70b":[76],"as":[77],"base":[79],"LLM,":[80],"orchestrated":[81],"by":[82,136],"CrewAI":[83],"Langchain.":[85],"The":[86,125,142],"system":[87,160,198],"comprises":[88],"four":[89],"AI":[90,195,228],"agents":[91],"emulating":[92],"key":[93],"roles:":[95],"Triage":[96,108],"Nurse,":[97],"Physician,":[99],"Pharmacist,":[100],"Coordinator.":[103],"It":[104],"incorporates":[105],"Korean":[107],"Acuity":[110],"Scale":[111],"(KTAS)":[112],"assessment":[115],"integrates":[117],"with":[118,133],"RxNorm":[120],"API":[121],"medication":[123],"model":[126],"was":[127],"evaluated":[128],"using":[129],"Asclepius":[131],"dataset,":[132],"performance":[134,163],"assessed":[135],"medicine":[140,232],"specialist.":[141],"demonstrated":[144],"high":[145],"decisionmaking":[149],"compared":[150],"baseline":[153],"single-agent":[156],"system.":[157],"Furthermore,":[158],"exhibited":[161],"strong":[162],"areas,":[166],"including":[167],"primary":[168],"diagnosis,":[169],"findings":[171],"identification,":[172],"disposition":[173],"decision-making,":[174],"resource":[178],"allocation.":[179],"Our":[180],"demonstrates":[183],"potential":[185],"supporting":[187],"comprehensive":[188],"By":[192],"leveraging":[193],"state-of-the-art":[194],"technologies,":[196],"this":[197],"scalable":[201],"adaptable":[203],"tool":[204],"that":[205],"could":[206],"enhance":[207],"medical":[209],"delivery,":[211],"potentially":[212],"alleviating":[213],"improving":[217],"outcomes.":[219],"work":[221],"contributes":[222],"growing":[225],"field":[226],"applications":[229],"promising":[236],"direction":[237],"future":[239],"research":[240],"implementation.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}