{"id":"https://openalex.org/W7163383553","doi":"https://doi.org/10.48550/arxiv.2606.03543","title":"D2MDT: Department-aware Multidisciplinary Team Consultation with Deliberation for Efficient Clinical Prediction","display_name":"D2MDT: Department-aware Multidisciplinary Team Consultation with Deliberation for Efficient Clinical Prediction","publication_year":2026,"publication_date":"2026-06-02","ids":{"openalex":"https://openalex.org/W7163383553","doi":"https://doi.org/10.48550/arxiv.2606.03543"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.03543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03543","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.03543","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136022929","display_name":"Yongqi Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Yongqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137774081","display_name":"Qidong Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Qidong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137781512","display_name":"Chunze Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Chunze","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137737681","display_name":"Lei Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123948540","display_name":"Jiusong Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge, Jiusong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137780941","display_name":"Ni Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Ni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137744282","display_name":"Chen Li (54018)","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.701200008392334,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.701200008392334,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.14079999923706055,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.042399998754262924,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/deliberation","display_name":"Deliberation","score":0.7742000222206116},{"id":"https://openalex.org/keywords/multidisciplinary-approach","display_name":"Multidisciplinary approach","score":0.7038000226020813},{"id":"https://openalex.org/keywords/clinical-decision-support-system","display_name":"Clinical decision support system","score":0.453000009059906},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.3808000087738037},{"id":"https://openalex.org/keywords/evidence-based-practice","display_name":"Evidence-based practice","score":0.3781000077724457},{"id":"https://openalex.org/keywords/multidisciplinary-team","display_name":"Multidisciplinary team","score":0.37700000405311584},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.36079999804496765},{"id":"https://openalex.org/keywords/evidence-based-medicine","display_name":"Evidence-based medicine","score":0.33230000734329224},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.3303000032901764}],"concepts":[{"id":"https://openalex.org/C2776946740","wikidata":"https://www.wikidata.org/wiki/Q358652","display_name":"Deliberation","level":3,"score":0.7742000222206116},{"id":"https://openalex.org/C22467394","wikidata":"https://www.wikidata.org/wiki/Q849359","display_name":"Multidisciplinary approach","level":2,"score":0.7038000226020813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46939998865127563},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.453000009059906},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3919000029563904},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C141330323","wikidata":"https://www.wikidata.org/wiki/Q2354820","display_name":"Evidence-based practice","level":3,"score":0.3781000077724457},{"id":"https://openalex.org/C3020501284","wikidata":"https://www.wikidata.org/wiki/Q849359","display_name":"Multidisciplinary team","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3529999852180481},{"id":"https://openalex.org/C19648533","wikidata":"https://www.wikidata.org/wiki/Q691640","display_name":"Evidence-based medicine","level":3,"score":0.33230000734329224},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3319999873638153},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.33079999685287476},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.3303000032901764},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.30880001187324524},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.3000999987125397},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2930999994277954},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29170000553131104},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C3020452639","wikidata":"https://www.wikidata.org/wiki/Q454812","display_name":"Clinical judgment","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C2779328685","wikidata":"https://www.wikidata.org/wiki/Q1475557","display_name":"Patient safety","level":3,"score":0.2547999918460846},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.03543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03543","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.03543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03543","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5625237822532654,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Electronic":[0],"health":[1],"records":[2],"(EHRs)":[3],"are":[4],"central":[5],"to":[6,28,91,153],"clinical":[7,31,70],"prediction,":[8],"but":[9],"existing":[10],"methods":[11,45],"either":[12],"rely":[13],"on":[14,135],"correlation-driven":[15],"deep":[16],"models":[17,23],"or":[18],"use":[19],"single":[20],"large":[21],"language":[22],"(LLMs),":[24],"making":[25],"it":[26],"difficult":[27],"support":[29],"multidisciplinary":[30],"reasoning.":[32],"Recent":[33],"multi-agent":[34,83],"systems":[35],"(MAS)":[36],"provide":[37],"a":[38,61],"promising":[39],"alternative,":[40],"yet":[41],"current":[42],"EHR-grounded":[43],"MAS":[44],"still":[46],"suffer":[47],"from":[48],"weak":[49],"evidence":[50,77,81,97],"differentiation":[51],"across":[52],"agents":[53,93],"and":[54,78,94,145],"redundant":[55],"multi-round":[56],"interaction.":[57],"We":[58,148],"propose":[59],"D2MDT,":[60],"Department-aware":[62],"MultiDisciplinary":[63],"Team":[64],"Consultation":[65],"with":[66,128],"Deliberation":[67],"for":[68,82,98,132],"Efficient":[69],"prediction.":[71,133],"D2MDT":[72,104,122,140],"first":[73],"constructs":[74],"structured":[75,129],"EHR":[76,130],"consultation-ready":[79],"semantic":[80],"consultation.":[84,100],"It":[85],"then":[86],"assigns":[87],"patient-specific":[88],"department":[89],"perspectives":[90],"doctor":[92],"retrieves":[95],"complementary":[96],"collaborative":[99],"To":[101],"improve":[102],"efficiency,":[103],"further":[105],"introduces":[106],"residual":[107],"deliberation,":[108],"which":[109],"updates":[110],"only":[111],"unresolved":[112],"consensus":[113,126],"rather":[114],"than":[115],"replaying":[116],"the":[117,124,150,155],"full":[118],"discussion":[119],"history.":[120],"Finally,":[121],"fuses":[123],"refined":[125],"report":[127],"representations":[131],"Experiments":[134],"mortality":[136],"prediction":[137],"show":[138],"that":[139],"improves":[141],"both":[142],"predictive":[143],"performance":[144],"consultation":[146],"efficiency.":[147],"release":[149],"code":[151],"online":[152],"ease":[154],"reproducibility":[156],"of":[157],"this":[158],"paper.":[159]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-04T00:00:00"}
