{"id":"https://openalex.org/W7167471982","doi":"https://doi.org/10.1177/14604582261466227","title":"Solving patient scheduling problems in hospitals using a dedicated GenAI system","display_name":"Solving patient scheduling problems in hospitals using a dedicated GenAI system","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7167471982","doi":"https://doi.org/10.1177/14604582261466227","pmid":"https://pubmed.ncbi.nlm.nih.gov/42403212"},"language":"en","primary_location":{"id":"doi:10.1177/14604582261466227","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14604582261466227","pdf_url":null,"source":{"id":"https://openalex.org/S201800618","display_name":"Health Informatics Journal","issn_l":"1355-4743","issn":["1355-4743","1460-4582","1741-2811"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health Informatics Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1177/14604582261466227","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037831741","display_name":"Toly Chen","orcid":"https://orcid.org/0000-0002-5608-5176"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tin-Chih Toly Chen","raw_affiliation_strings":["National Yang Ming Chiao Tung University"],"raw_orcid":"https://orcid.org/0000-0002-5608-5176","affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016856314","display_name":"Min-Chi Chiu","orcid":"https://orcid.org/0000-0001-6938-2391"},"institutions":[{"id":"https://openalex.org/I65446980","display_name":"National Chin-Yi University of Technology","ror":"https://ror.org/040bs6h16","country_code":"TW","type":"education","lineage":["https://openalex.org/I65446980"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Chi Chiu","raw_affiliation_strings":["National Chin-Yi University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chin-Yi University of Technology","institution_ids":["https://openalex.org/I65446980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5140149232","display_name":"Hsin-Chieh Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Chieh Wu","raw_affiliation_strings":["Chaoyang University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chaoyang University of Technology","institution_ids":["https://openalex.org/I126145234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037831741"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":{"value":1500,"currency":"USD","value_usd":1500},"apc_paid":{"value":1500,"currency":"USD","value_usd":1500},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.81930693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"3","first_page":"14604582261466227","last_page":"14604582261466227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9294000267982483,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9294000267982483,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.015300000086426735,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.0027000000700354576,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6031000018119812},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.5023000240325928},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.46950000524520874},{"id":"https://openalex.org/keywords/two-level-scheduling","display_name":"Two-level scheduling","score":0.46639999747276306},{"id":"https://openalex.org/keywords/nurse-scheduling-problem","display_name":"Nurse scheduling problem","score":0.39570000767707825},{"id":"https://openalex.org/keywords/rate-monotonic-scheduling","display_name":"Rate-monotonic scheduling","score":0.3885999917984009},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.38609999418258667},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.3758000135421753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7562999725341797},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6031000018119812},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.5023000240325928},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.46950000524520874},{"id":"https://openalex.org/C119948110","wikidata":"https://www.wikidata.org/wiki/Q7858726","display_name":"Two-level scheduling","level":4,"score":0.46639999747276306},{"id":"https://openalex.org/C102370290","wikidata":"https://www.wikidata.org/wiki/Q7070210","display_name":"Nurse scheduling problem","level":5,"score":0.39570000767707825},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.3885999917984009},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.38609999418258667},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.3758000135421753},{"id":"https://openalex.org/C122141398","wikidata":"https://www.wikidata.org/wiki/Q5456330","display_name":"Fixed-priority pre-emptive scheduling","level":5,"score":0.37049999833106995},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3416999876499176},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32120001316070557},{"id":"https://openalex.org/C32310161","wikidata":"https://www.wikidata.org/wiki/Q666365","display_name":"Earliest deadline first scheduling","level":5,"score":0.3109999895095825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30550000071525574},{"id":"https://openalex.org/C112866106","wikidata":"https://www.wikidata.org/wiki/Q267053","display_name":"Lottery scheduling","level":5,"score":0.29440000653266907},{"id":"https://openalex.org/C175893541","wikidata":"https://www.wikidata.org/wiki/Q1196582","display_name":"Round-robin scheduling","level":4,"score":0.28769999742507935},{"id":"https://openalex.org/C2989236134","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Patient care","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C2987404301","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care","level":2,"score":0.250900000333786}],"mesh":[{"descriptor_ui":"D000098403","descriptor_name":"Intelligent Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098403","descriptor_name":"Intelligent Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098434","descriptor_name":"Genetic Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098434","descriptor_name":"Genetic Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098842","descriptor_name":"Generative Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098842","descriptor_name":"Generative Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001071","descriptor_name":"Appointments and Schedules","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001071","descriptor_name":"Appointments and Schedules","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006761","descriptor_name":"Hospitals","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D006761","descriptor_name":"Hospitals","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017060","descriptor_name":"Patient Satisfaction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017060","descriptor_name":"Patient Satisfaction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017598","descriptor_name":"Efficiency, Organizational","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017598","descriptor_name":"Efficiency, Organizational","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1177/14604582261466227","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14604582261466227","pdf_url":null,"source":{"id":"https://openalex.org/S201800618","display_name":"Health Informatics Journal","issn_l":"1355-4743","issn":["1355-4743","1460-4582","1741-2811"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health Informatics Journal","raw_type":"journal-article"},{"id":"pmid:42403212","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42403212","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health informatics journal","raw_type":null},{"id":"pmh:oai:doaj.org/article:7158026dea764ea1a4db32adf496468e","is_oa":false,"landing_page_url":"https://doaj.org/article/7158026dea764ea1a4db32adf496468e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Health Informatics Journal, Vol 32 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/14604582261466227","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14604582261466227","pdf_url":null,"source":{"id":"https://openalex.org/S201800618","display_name":"Health Informatics Journal","issn_l":"1355-4743","issn":["1355-4743","1460-4582","1741-2811"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health Informatics Journal","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5197529196739197,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1979640424","https://openalex.org/W1982043911","https://openalex.org/W2038179333","https://openalex.org/W2343562749","https://openalex.org/W2751418808","https://openalex.org/W2795274753","https://openalex.org/W2941736493","https://openalex.org/W3128828221","https://openalex.org/W3153757649","https://openalex.org/W4285222069","https://openalex.org/W4285809825","https://openalex.org/W4293385729","https://openalex.org/W4386304186","https://openalex.org/W4392366638","https://openalex.org/W4393252719","https://openalex.org/W4396685186","https://openalex.org/W4398160816","https://openalex.org/W4404078703","https://openalex.org/W4404848707","https://openalex.org/W4405388910","https://openalex.org/W4406916423","https://openalex.org/W4409284194","https://openalex.org/W4409823348","https://openalex.org/W4410278250","https://openalex.org/W4410853156","https://openalex.org/W4410953654","https://openalex.org/W4413258166","https://openalex.org/W4413284197","https://openalex.org/W4415280102","https://openalex.org/W4416150511","https://openalex.org/W4416555948"],"related_works":[],"abstract_inverted_index":{"Objectives":[0],"Patient":[1],"scheduling":[2,31,53,60,66,102,180,193,216],"is":[3,94,171,246],"a":[4,37,79,112],"vital":[5],"yet":[6],"complex":[7,177,222],"task":[8],"that":[9,147,167],"strongly":[10],"influences":[11],"patient":[12,45,59,101,179,215,243,251],"satisfaction":[13,252],"and":[14,28,123,130,158,186,253],"optimizes":[15],"healthcare":[16,255],"efficiency.":[17,256],"Recent":[18],"studies":[19],"have":[20],"emphasized":[21],"the":[22,57,72,85,99,117,148,151,168,175,192,240],"importance":[23],"of":[24,136,140,242],"devising":[25],"innovative":[26],"approaches":[27],"developing":[29],"new":[30],"frameworks.":[32],"Therefore,":[33],"this":[34,156,197,235],"study":[35],"establishes":[36],"dedicated":[38,106,236],"generative":[39],"artificial":[40],"intelligence":[41],"(GenAI)":[42],"system":[43,50,73,108,157,198,238],"for":[44],"scheduling.":[46,244],"Methods":[47],"The":[48,105,143],"proposed":[49,169],"first":[51],"imports":[52],"data":[54],"to":[55,83,97,111,248],"formulate":[56],"default":[58],"problem.":[61,103],"Subsequently,":[62],"users":[63],"enter":[64],"their":[65],"requirements":[67],"using":[68,78,155,196,209,226],"natural":[69],"language":[70],"via":[71],"interface,":[74],"which":[75],"are":[76,218],"parsed":[77],"deep":[80],"neural":[81],"network":[82],"establish":[84],"corresponding":[86],"extended":[87],"three-field":[88],"notations.":[89],"A":[90],"customized":[91,100,178,214],"genetic":[92],"algorithm":[93],"automatically":[95,184],"generated":[96],"solve":[98],"Results":[104],"GenAI":[107,237],"was":[109,160,199],"applied":[110],"real-world":[113],"case":[114],"obtained":[115],"from":[116],"literature,":[118],"involving":[119],"12":[120,127],"anesthesiologists,":[121],"surgeons,":[122],"anesthesia":[124],"resuscitation":[125],"doctors;":[126],"operating":[128],"rooms;":[129],"15":[131],"patients":[132],"undergoing":[133],"three":[134,141],"types":[135],"surgeries,":[137],"each":[138],"consisting":[139],"operations.":[142],"experimental":[144],"results":[145],"reveal":[146],"difference":[149],"in":[150,188,230],"optimal":[152],"fitness":[153],"achieved":[154,195,208],"branch-and-bound":[159],"less":[161],"than":[162,206,223],"1%":[163],"on":[164],"average,":[165],"demonstrating":[166],"methodology":[170],"effective.":[172],"In":[173],"addition,":[174],"most":[176],"problem":[181],"could":[182],"be":[183],"modeled":[185],"solved":[187],"20":[189],"s.":[190],"Furthermore,":[191],"performance":[194],"significantly":[200],"higher":[201],"(":[202],"\u03b1":[203],"=":[204],"0.05)":[205],"those":[207],"two":[210],"current":[211],"practices.":[212],"Moreover,":[213],"problems":[217,224],"often":[219],"substantially":[220],"more":[221],"addressed":[225],"traditional":[227],"methods":[228],"reported":[229],"previous":[231],"studies.":[232],"Conclusions":[233],"Applying":[234],"improved":[239],"effectiveness":[241],"This":[245],"expected":[247],"considerably":[249],"enhance":[250],"overall":[254]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-07T00:00:00"}