{"id":"https://openalex.org/W19186492","doi":null,"title":"Pre-admission prediction tool improves process.","display_name":"Pre-admission prediction tool improves process.","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W19186492","mag":"19186492","pmid":"https://pubmed.ncbi.nlm.nih.gov/19186492"},"language":"en","primary_location":{"id":"pmid:19186492","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19186492","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,"listed_in":[],"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":"Healthcare benchmarks and quality improvement","raw_type":"Journal Article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048411463","display_name":"Metin \u015eenbil","orcid":"https://orcid.org/0000-0003-3123-1621","observed_orcids":["https://orcid.org/0000-0003-3123-1621"]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Metin \u015eenbil","raw_affiliation_strings":["Kyoto univ"],"raw_orcid":"https://orcid.org/0000-0003-3123-1621","affiliations":[{"raw_affiliation_string":"Kyoto univ","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022609977","display_name":"Ryuichi Kitamura","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryuichi Kitamura","raw_affiliation_strings":["Kyoto univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto univ","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":2.0589,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89680833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"1","first_page":"9","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.04699999839067459,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/willingness-to-pay","display_name":"willingness to pay","score":0.875},{"id":"https://openalex.org/keywords/congestion-pricing","display_name":"congestion pricing","score":0.6650000214576721},{"id":"https://openalex.org/keywords/travel-time-variability","display_name":"travel time variability","score":0.6259999871253967},{"id":"https://openalex.org/keywords/prospect-theory","display_name":"prospect theory","score":0.7699999809265137},{"id":"https://openalex.org/keywords/reference-points","display_name":"reference points","score":0.8119999766349792},{"id":"https://openalex.org/keywords/willingness-to-accept","display_name":"willingness to accept","score":0.9319999814033508},{"id":"https://openalex.org/keywords/capacity-value","display_name":"capacity value","score":0.7609999775886536},{"id":"https://openalex.org/keywords/stochastic-frontier-analysis","display_name":"stochastic frontier analysis","score":0.621999979019165},{"id":"https://openalex.org/keywords/tobit-model","display_name":"Tobit model","score":0.949999988079071},{"id":"https://openalex.org/keywords/hanshin-expressway","display_name":"Hanshin Expressway","score":0.6629999876022339},{"id":"https://openalex.org/keywords/risk-aversion","display_name":"risk aversion","score":0.421999990940094},{"id":"https://openalex.org/keywords/willingness-to-pay-elicitation","display_name":"willingness to pay elicitation","score":0.4410000145435333}],"concepts":[{"id":"https://openalex.org/C2777364431","wikidata":"https://www.wikidata.org/wiki/Q140813","display_name":"Willingness to pay","level":2,"score":0.8417872786521912},{"id":"https://openalex.org/C166866094","wikidata":"https://www.wikidata.org/wiki/Q1307251","display_name":"Tobit model","level":2,"score":0.7136477828025818},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5740580558776855},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.52447909116745},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4744480848312378},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.46322324872016907},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4458655118942261},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43449997901916504},{"id":"https://openalex.org/C2778025104","wikidata":"https://www.wikidata.org/wiki/Q408004","display_name":"Toll","level":2,"score":0.42729124426841736},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.4108804762363434},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.3960825502872467},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3046031594276428},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.12830877304077148},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007902","descriptor_name":"Length of Stay","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010343","descriptor_name":"Patient Admission","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":true},{"descriptor_ui":"D010351","descriptor_name":"Patient Discharge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"pmid:19186492","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19186492","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,"listed_in":[],"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":"Healthcare benchmarks and quality improvement","raw_type":"Journal Article"},{"id":"mag:19186492","doi":null,"is_oa":false,"landing_page_url":"http://www.cc.kyoto-su.ac.jp/project/orc/execo/EES2004/EES/EES_33(abst).pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7250000238418579}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W634911892","https://openalex.org/W1520217141","https://openalex.org/W1530172293","https://openalex.org/W1584069614","https://openalex.org/W1600159497","https://openalex.org/W1966709680","https://openalex.org/W1984399289","https://openalex.org/W1991572298","https://openalex.org/W2019086607","https://openalex.org/W2024140722","https://openalex.org/W2024265813","https://openalex.org/W2033834012","https://openalex.org/W2039810561","https://openalex.org/W2041819305","https://openalex.org/W2047084122","https://openalex.org/W2048236242","https://openalex.org/W2049730353","https://openalex.org/W2053565500","https://openalex.org/W2054733510","https://openalex.org/W2067579948","https://openalex.org/W2071701243","https://openalex.org/W2084865421","https://openalex.org/W2098910318","https://openalex.org/W2129228937","https://openalex.org/W2131740028","https://openalex.org/W2132129498","https://openalex.org/W2133469585","https://openalex.org/W2509180036","https://openalex.org/W2795592297","https://openalex.org/W3166327929","https://openalex.org/W4240191094"],"related_works":["https://openalex.org/W563003841","https://openalex.org/W7100149587","https://openalex.org/W7099122402","https://openalex.org/W4386782917","https://openalex.org/W1479837380","https://openalex.org/W1995189209","https://openalex.org/W805927919","https://openalex.org/W582614404","https://openalex.org/W2298166217","https://openalex.org/W7039976573"],"abstract_inverted_index":{"This":[0],"study":[1],"is":[2,102,110,183,196,203,211,224,238,316,356,408,414,550],"about":[3,63],"the":[4,36,64,68,82,89,96,136,143,148,170,177,180,188,193,225,231,242,251,259,264,299,303,307,319,347,350,353,360,364,378,389,392,398,404,411,415,419,424,428,434,442,468,472,481,492,496,500,504,515,524,541,548,554,563,571,575],"willingness-to-pay":[5],"(WTP)":[6],"for":[7,153,192,363,556],"an":[8,107,287],"expressway":[9,194,469,482],"service.":[10],"For":[11],"eliciting":[12],"WTP,":[13,117],"we":[14,118,133,272,544],"have":[15,119,134,219,373,545],"used":[16,73,152],"a":[17,47,99,105,113,184,197,214,220,401,458,487,520,531,557],"part":[18],"of":[19,35,77,88,147,166,258,266,352,380,388,403,423,427,474,562,570,577],"large":[20],"scale":[21],"congestion":[22],"pricing":[23],"survey":[24],"and":[25,50,92,159,173,191,230,245,276,286,324,335,384,585],"asked":[26,42],"seven":[27],"hypothetical":[28],"questions":[29,41],"to":[30,44,95,126,205,279,302,329,346,358,391,397,451],"respondents":[31,43,217],"who":[32,466,479],"were":[33],"users":[34],"Hanshin":[37],"Expressways":[38],"networks.":[39],"The":[40,163,208,256,313,339,566],"choose":[45],"between":[46,227],"toll":[48],"road":[49],"surface":[51],"streets":[52],"with":[53,93,142],"different":[54,121,128,281,284,330],"travel":[55,57,582],"times,":[56],"time":[58,66,79,526,583],"variability.":[59],"A":[60],"certain":[61],"constraint":[62],"arrival":[65,101,109],"at":[67,519],"destination":[69],"was":[70],"imposed.":[71],"We":[72,234],"prospect":[74,572],"theoretic":[75],"concepts":[76],"reference":[78,97,525],"point":[80,98,527],"as":[81,104,112],"zero":[83],"asset":[84],"position":[85,522],"in":[86,124,283,332,349,433,455,503,540,560,574],"place":[87],"coupling":[90,586],"time;":[91],"respect":[94],"late":[100],"indexed":[103,111],"loss,":[106],"early":[108,505],"gain.":[114],"Using":[115],"reported":[116,181,232],"conducted":[120],"regression":[122,137,150,158,161,167,254,261,405,435,501],"models":[123,278],"order":[125],"evaluate":[127],"hypotheses.":[129],"To":[130],"do":[131],"so,":[132],"divided":[135],"analyses":[138,151,508],"into":[139],"two":[140,370,483],"groups":[141],"first":[144,209],"group":[145,165],"comprised":[146],"general":[149],"open-ended":[154],"valuations,":[155],"i.e.,":[156,169],"multiple":[157],"log-linear":[160],"analysis.":[162],"second":[164,314],"analyses,":[168,406,436,502],"stochastic":[171,252,260],"frontier":[172,253,289,296],"Tobit":[174,365,416],"regressions,":[175],"bears":[176,306],"hypotheses":[178],"that":[179,216,236,274,305,342,410,441,514,547],"WTP":[182,190,229,244,425,448],"bit":[185],"lower":[186,240],"than":[187,477,495,530,553],"real":[189,228,243],"there":[195],"upper":[198,361],"limit":[199,362],"capacity":[200,340,371],"value":[201,341,471,491],"which":[202,223,327],"similar":[204,345,535,558],"willingness-to-accept":[206],"(WTA).":[207],"hypothesis":[210,248,315],"derived":[212,317],"by":[213,249,447],"consideration":[215],"might":[218,297,343],"concealment":[221,267],"value,":[222],"difference":[226],"WTP.":[233,464],"believe":[235],"it":[237,407,437,475],"generally":[239,490],"then":[241],"locate":[246,280],"this":[247,293,368],"using":[250,418],"model.":[255],"results":[257],"analysis":[262],"support":[263],"existence":[265],"value.":[268],"As":[269,400],"future":[270],"research,":[271],"conclude":[273],"complex":[275],"flexible":[277],"concealments":[282],"settings":[285],"explicit":[288,295],"are":[290,377,445,568],"needed.":[291],"In":[292,367],"regard,":[294,369],"be":[298,344,359,538],"responds":[300,390],"given":[301],"alternative":[304],"most":[308],"loss":[309,337,394,430,542,549],"or":[310,484],"pure":[311,393,429],"loss.":[312],"from":[318,499,523],"economic":[320],"literature":[321],"on":[322,510,581],"equivalent":[323],"compensating":[325],"variations,":[326],"refer":[328],"valuations":[331],"welfare":[333,336,354],"gain":[334,355,555,564],"settings.":[338],"WTA":[348],"context":[351,576],"assumed":[357],"regressions.":[366],"values":[372,379,426,449],"been":[374,439],"employed;":[375],"they":[376],"75":[381],"th":[382,386,421],"percentile":[383,387,422],"90":[385,420],"question":[395],"presented":[396],"respondents.":[399],"result":[402],"found":[409,440,539,546],"best":[412],"model":[413,417],"question.":[431],"Generally":[432],"has":[438],"risky":[443],"alternatives":[444],"ranked":[446],"proportional":[450],"their":[452],"risk":[453,460],"levels;":[454],"other":[456],"words,":[457],"high":[459,463],"level":[461],"displays":[462],"Commuters":[465],"use":[467,473,480],"everyday":[470],"higher":[476,494,552],"commuters":[478],"three":[485],"times":[486],"week.":[488],"Females":[489],"highway":[493],"males.":[497],"Apart":[498],"sections":[506],"preliminary":[507],"based":[509,580],"paired":[511],"t-tests":[512],"suggest":[513],"gains":[516],"decrease":[517],"significantly":[518,551],"distant":[521],"(coupling":[528],"time)":[529],"near":[532],"location.":[533],"Although":[534],"inference":[536],"cannot":[537],"region,":[543],"interval":[559],"both":[561],"region.":[565],"findings":[567],"supportive":[569],"theory":[573],"route":[578],"choices":[579],"variation":[584],"time.":[587]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
