{"id":"https://openalex.org/W7170058252","doi":"https://doi.org/10.48550/arxiv.2607.18884","title":"Public perceptions of AI-driven decision-making in healthcare: A structural equation modeling approach","display_name":"Public perceptions of AI-driven decision-making in healthcare: A structural equation modeling approach","publication_year":2026,"publication_date":"2026-07-21","ids":{"openalex":"https://openalex.org/W7170058252","doi":"https://doi.org/10.48550/arxiv.2607.18884"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.18884","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.18884","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2607.18884","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5143406246","display_name":"Leonie Westerbeek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Westerbeek, Leonie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037032008","display_name":"Ernesto de Le\u00f3n","orcid":"https://orcid.org/0000-0003-3152-0722"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"de Leon, Ernesto","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5143406118","display_name":"Julia C. M. van Weert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"van Weert, Julia C. M.","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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.7468000054359436,"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"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.7468000054359436,"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"}},{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.05979999899864197,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.025499999523162842,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/helpfulness","display_name":"Helpfulness","score":0.8382999897003174},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.7526999711990356},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.7039999961853027},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.635699987411499},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44130000472068787},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.4293000102043152}],"concepts":[{"id":"https://openalex.org/C2781265381","wikidata":"https://www.wikidata.org/wiki/Q5710255","display_name":"Helpfulness","level":2,"score":0.8382999897003174},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.7526999711990356},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.7039999961853027},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.635699987411499},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5748000144958496},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.47850000858306885},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.4293000102043152},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3935999870300293},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.38850000500679016},{"id":"https://openalex.org/C2986711855","wikidata":"https://www.wikidata.org/wiki/Q294308","display_name":"Public healthcare","level":3,"score":0.3375999927520752},{"id":"https://openalex.org/C1602351","wikidata":"https://www.wikidata.org/wiki/Q381370","display_name":"Health belief model","level":4,"score":0.33250001072883606},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.32839998602867126},{"id":"https://openalex.org/C163355716","wikidata":"https://www.wikidata.org/wiki/Q2154783","display_name":"Risk perception","level":3,"score":0.30070000886917114},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.25850000977516174},{"id":"https://openalex.org/C137992405","wikidata":"https://www.wikidata.org/wiki/Q1137608","display_name":"Health administration","level":3,"score":0.25459998846054077},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.18884","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.18884","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.18884","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.18884","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8676257133483887}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"is":[3],"increasingly":[4],"integrated":[5],"into":[6],"healthcare":[7,80,224,251],"to":[8,104,142],"support":[9],"diagnostics,":[10],"decision-making,":[11],"and":[12,36,69,84,117,146,175,214,234,243],"administrative":[13],"processes.":[14],"However,":[15],"the":[16,53,89,139,201,257],"successful":[17],"implementation":[18],"of":[19,32,43,56,66,77,98,111,119,134,148,161,190,216,221,231],"AI":[20,92,174,210,212],"depends":[21],"not":[22],"only":[23],"on":[24,29,178],"technical":[25],"performance":[26],"but":[27],"also":[28],"public":[30,41],"perceptions":[31,42,220],"its":[33],"helpfulness,":[34],"riskiness,":[35],"fairness.":[37],"This":[38],"study":[39],"examines":[40],"automated":[44],"decision-making":[45],"(ADM)":[46],"in":[47,79,101,138,200,223,236,250,256],"healthcare.":[48],"Data":[49],"were":[50,86,125,154,183,194],"drawn":[51],"from":[52,107],"first":[54],"wave":[55],"an":[57],"ongoing":[58],"longitudinal":[59],"survey":[60],"panel.":[61],"The":[62],"final":[63],"sample":[64],"consisted":[65],"3,915":[67],"respondents":[68],"was":[70,164],"analyzed":[71],"with":[72,95,131,156,166,173,185,204,209],"structural":[73],"equation":[74],"modeling.":[75],"Perceptions":[76,189],"ADM":[78,191,222],"as":[81,88,127,192],"helpful,":[82],"risky,":[83],"fair":[85,193],"treated":[87],"dependent":[90],"variables.":[91],"literacy,":[93,213],"familiarity":[94,130,172],"different":[96,132],"forms":[97,133],"AI,":[99,135],"confidence":[100,137,199,235],"clinicians'":[102],"ability":[103,141],"distinguish":[105],"AI-":[106],"human-generated":[108],"content,":[109,145],"use":[110,118,147,215,230],"conversational":[112,149,162,217,232],"agents":[113,150,163],"for":[114,151],"health":[115,122,152,180],"information,":[116],"traditional":[120,179],"digital":[121],"information":[123,153,181],"sources":[124,182],"included":[126],"exogenous.":[128],"Greater":[129],"higher":[136,186],"clinician's":[140,202],"recognize":[143],"AI-generated":[144],"associated":[155,165,184],"greater":[157,171,176],"perceived":[158,168,187,241],"helpfulness.":[159],"Use":[160],"lower":[167],"risk,":[169],"whereas":[170],"reliance":[177],"risk.":[188],"most":[195],"strongly":[196],"predicted":[197],"by":[198,227,248,254],"ability,":[203],"additional":[205],"small":[206],"positive":[207],"associations":[208],"familiarity,":[211,229],"agents.":[218],"Public":[219],"are":[225,245],"shaped":[226],"technological":[228],"agents,":[233],"human":[237],"oversight.":[238],"Overall,":[239],"ADM's":[240],"helpfulness":[242],"fairness":[244],"driven":[246],"more":[247],"trust":[249,255],"professionals":[252],"than":[253],"technology":[258],"itself.":[259]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-23T00:00:00"}
