{"id":"https://openalex.org/W23636738","doi":null,"title":"Bayesian hierarchical models in statistical quality control methods to improve healthcare in hospitals","display_name":"Bayesian hierarchical models in statistical quality control methods to improve healthcare in hospitals","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W23636738","mag":"23636738"},"language":"en","primary_location":{"id":"mag:23636738","doi":null,"is_oa":false,"landing_page_url":"https://eprints.qut.edu.au/53342/","pdf_url":null,"source":{"id":"https://openalex.org/S2764552960","display_name":"Science & Engineering Faculty","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Science & Engineering Faculty","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5031852967","display_name":"Hassan Assareh","orcid":"https://orcid.org/0000-0001-7404-8144","observed_orcids":["https://orcid.org/0000-0001-7404-8144"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hassan Assareh","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7404-8144","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5031852967"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1971,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57416095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T12871","display_name":"Healthcare Quality and Management","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T10876","display_name":"Fault Detection and Control Systems","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/statistical-quality-control","display_name":"statistical quality control","score":0.878000020980835},{"id":"https://openalex.org/keywords/bayesian-hierarchical-model","display_name":"Bayesian hierarchical model","score":0.9649999737739563},{"id":"https://openalex.org/keywords/control-charts","display_name":"control charts","score":0.7089999914169312},{"id":"https://openalex.org/keywords/quality-improvement-cycle","display_name":"quality improvement cycle","score":0.7369999885559082},{"id":"https://openalex.org/keywords/change-point-estimation","display_name":"change point estimation","score":0.7950000166893005},{"id":"https://openalex.org/keywords/multivariate-control-charts","display_name":"multivariate control charts","score":0.7670000195503235},{"id":"https://openalex.org/keywords/risk-adjusted-control-charts","display_name":"risk-adjusted control charts","score":0.9350000023841858},{"id":"https://openalex.org/keywords/clinical-data-quality","display_name":"clinical data quality","score":0.8209999799728394},{"id":"https://openalex.org/keywords/sample-size-calculation","display_name":"sample size determination","score":0.5709999799728394},{"id":"https://openalex.org/keywords/bayesian-decision-making","display_name":"Bayesian decision making","score":0.6959999799728394},{"id":"https://openalex.org/keywords/poisson-process","display_name":"Poisson process","score":0.6579999923706055},{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"root cause analysis","score":0.7210000157356262},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.7929999828338623},{"id":"https://openalex.org/keywords/healthcare-quality-management","display_name":"healthcare quality management","score":0.5580000281333923},{"id":"https://openalex.org/keywords/continuous-improvement","display_name":"continuous improvement","score":0.4580000042915344}],"concepts":[{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.6211996078491211},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6179366707801819},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5683488845825195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5471127033233643},{"id":"https://openalex.org/C71405471","wikidata":"https://www.wikidata.org/wiki/Q757012","display_name":"Quality management","level":3,"score":0.5452213883399963},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.49575504660606384},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.4741988778114319},{"id":"https://openalex.org/C196879817","wikidata":"https://www.wikidata.org/wiki/Q872685","display_name":"Data governance","level":4,"score":0.46608346700668335},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4580380916595459},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.42632952332496643},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.41792163252830505},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.39752310514450073},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.37664464116096497},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.351563423871994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3296312987804413},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28849589824676514},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.24928981065750122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18886280059814453},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.17251232266426086},{"id":"https://openalex.org/C198783460","wikidata":"https://www.wikidata.org/wiki/Q629173","display_name":"Management system","level":2,"score":0.11979374289512634},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:23636738","doi":null,"is_oa":false,"landing_page_url":"https://eprints.qut.edu.au/53342/","pdf_url":null,"source":{"id":"https://openalex.org/S2764552960","display_name":"Science & Engineering Faculty","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Science & Engineering Faculty","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8048999905586243,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1104670545","display_name":null,"funder_award_id":"U01-DA024417","funder_id":"https://openalex.org/F4320337347","funder_display_name":"National Institute on Drug Abuse"},{"id":"https://openalex.org/G2038983678","display_name":null,"funder_award_id":"R01-CA-154643","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G2067995313","display_name":null,"funder_award_id":"CA154643","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G2577496082","display_name":"Genetic Susceptibility to Non-Hodgkins Lymphoma","funder_award_id":"R01CA104682","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G2815303808","display_name":"Lipid and Lipoprotein Metabolism in Atherosclerosis","funder_award_id":"P01HL030568","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G3922891773","display_name":"EPIDEMIOLOGY OF NON-HODGKIN'S LYMPHOMA &RETROVIRAL TEST","funder_award_id":"R01CA045614","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G4530357056","display_name":"Discovering the Genetic Basis of Hypertension","funder_award_id":"K25HL080079","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G4640153210","display_name":"Fine-mapping the MHC associations in rheumatoid arthritis from GWAS data","funder_award_id":"R01AR062886","funder_id":"https://openalex.org/F4320337362","funder_display_name":"National Institute of Arthritis and Musculoskeletal and Skin Diseases"},{"id":"https://openalex.org/G4896129148","display_name":"EPIDEMIOLOGY OF NON HODGKINS'S LYMPHOMA DATA ANALYSIS","funder_award_id":"R03CA089745","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G8370381390","display_name":"Molecular Epidemiology of non Hodgkin's Lymphoma","funder_award_id":"R01CA087014","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G891428347","display_name":"Molecular Genetic Approaches in Atherosclerosis Research","funder_award_id":"P01HL028481","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"}],"funders":[{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337347","display_name":"National Institute on Drug Abuse","ror":"https://ror.org/00fq5cm18"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"id":"https://openalex.org/F4320337362","display_name":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","ror":"https://ror.org/006zn3t30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":197,"referenced_works":["https://openalex.org/W43447387","https://openalex.org/W55320940","https://openalex.org/W64578218","https://openalex.org/W94380214","https://openalex.org/W129305155","https://openalex.org/W131846460","https://openalex.org/W132318279","https://openalex.org/W135258734","https://openalex.org/W136281755","https://openalex.org/W144766342","https://openalex.org/W147336408","https://openalex.org/W180089130","https://openalex.org/W316638995","https://openalex.org/W604143401","https://openalex.org/W617886812","https://openalex.org/W1479881385","https://openalex.org/W1481286075","https://openalex.org/W1496030390","https://openalex.org/W1530798305","https://openalex.org/W1564021895","https://openalex.org/W1566641586","https://openalex.org/W1970683041","https://openalex.org/W1971428935","https://openalex.org/W1971797249","https://openalex.org/W1972358525","https://openalex.org/W1972972727","https://openalex.org/W1973575289","https://openalex.org/W1973589169","https://openalex.org/W1973948212","https://openalex.org/W1975061413","https://openalex.org/W1975124173","https://openalex.org/W1975370607","https://openalex.org/W1975445200","https://openalex.org/W1975626870","https://openalex.org/W1975995381","https://openalex.org/W1978129804","https://openalex.org/W1980999962","https://openalex.org/W1985708027","https://openalex.org/W1990938296","https://openalex.org/W1992130084","https://openalex.org/W1992506236","https://openalex.org/W1993915163","https://openalex.org/W1994449045","https://openalex.org/W1995445561","https://openalex.org/W1997067501","https://openalex.org/W1998327243","https://openalex.org/W2000884317","https://openalex.org/W2001698231","https://openalex.org/W2001788325","https://openalex.org/W2003842257","https://openalex.org/W2004651906","https://openalex.org/W2007066840","https://openalex.org/W2007121489","https://openalex.org/W2007580134","https://openalex.org/W2007681875","https://openalex.org/W2008500638","https://openalex.org/W2008790842","https://openalex.org/W2009468668","https://openalex.org/W2010002759","https://openalex.org/W2011560193","https://openalex.org/W2011739425","https://openalex.org/W2012853848","https://openalex.org/W2013267837","https://openalex.org/W2017185451","https://openalex.org/W2020999234","https://openalex.org/W2021789292","https://openalex.org/W2025302005","https://openalex.org/W2027299145","https://openalex.org/W2028409642","https://openalex.org/W2029591120","https://openalex.org/W2029685080","https://openalex.org/W2029840740","https://openalex.org/W2029890144","https://openalex.org/W2030346400","https://openalex.org/W2031145437","https://openalex.org/W2031225581","https://openalex.org/W2031555508","https://openalex.org/W2031668066","https://openalex.org/W2039552691","https://openalex.org/W2042991080","https://openalex.org/W2044036264","https://openalex.org/W2045323821","https://openalex.org/W2045656233","https://openalex.org/W2046619082","https://openalex.org/W2050045857","https://openalex.org/W2051903196","https://openalex.org/W2052077753","https://openalex.org/W2054447079","https://openalex.org/W2056821499","https://openalex.org/W2057345496","https://openalex.org/W2057765075","https://openalex.org/W2059525262","https://openalex.org/W2063803542","https://openalex.org/W2064542861","https://openalex.org/W2065258189","https://openalex.org/W2065508868","https://openalex.org/W2065960788","https://openalex.org/W2067790193","https://openalex.org/W2068392293","https://openalex.org/W2069139112","https://openalex.org/W2069891886","https://openalex.org/W2073184177","https://openalex.org/W2073550447","https://openalex.org/W2073632970","https://openalex.org/W2076092328","https://openalex.org/W2078369370","https://openalex.org/W2080029308","https://openalex.org/W2082735718","https://openalex.org/W2083281921","https://openalex.org/W2086122342","https://openalex.org/W2086284454","https://openalex.org/W2087363344","https://openalex.org/W2088773565","https://openalex.org/W2093032787","https://openalex.org/W2093113419","https://openalex.org/W2094013156","https://openalex.org/W2095991710","https://openalex.org/W2096459479","https://openalex.org/W2097054834","https://openalex.org/W2099403556","https://openalex.org/W2099421969","https://openalex.org/W2099772526","https://openalex.org/W2101366531","https://openalex.org/W2102131400","https://openalex.org/W2102386709","https://openalex.org/W2106453800","https://openalex.org/W2106706098","https://openalex.org/W2107146446","https://openalex.org/W2107847131","https://openalex.org/W2108365617","https://openalex.org/W2109802067","https://openalex.org/W2114108443","https://openalex.org/W2117514909","https://openalex.org/W2117854091","https://openalex.org/W2118502261","https://openalex.org/W2119328379","https://openalex.org/W2119997698","https://openalex.org/W2120154289","https://openalex.org/W2121773979","https://openalex.org/W2122891615","https://openalex.org/W2124942872","https://openalex.org/W2126838718","https://openalex.org/W2127532747","https://openalex.org/W2128038346","https://openalex.org/W2129480892","https://openalex.org/W2130056028","https://openalex.org/W2134069175","https://openalex.org/W2135832648","https://openalex.org/W2138309709","https://openalex.org/W2138769869","https://openalex.org/W2140065798","https://openalex.org/W2141734529","https://openalex.org/W2146743728","https://openalex.org/W2148621962","https://openalex.org/W2152908903","https://openalex.org/W2154201498","https://openalex.org/W2154239578","https://openalex.org/W2155048419","https://openalex.org/W2156315698","https://openalex.org/W2156560564","https://openalex.org/W2157113895","https://openalex.org/W2157477694","https://openalex.org/W2157786378","https://openalex.org/W2158797677","https://openalex.org/W2159663991","https://openalex.org/W2161088630","https://openalex.org/W2162370783","https://openalex.org/W2163077119","https://openalex.org/W2164549386","https://openalex.org/W2164603112","https://openalex.org/W2165241396","https://openalex.org/W2165806143","https://openalex.org/W2167025863","https://openalex.org/W2168885658","https://openalex.org/W2169961853","https://openalex.org/W2171166366","https://openalex.org/W2181855420","https://openalex.org/W2182337618","https://openalex.org/W2185153135","https://openalex.org/W2256266067","https://openalex.org/W2257126868","https://openalex.org/W2318082603","https://openalex.org/W2335620844","https://openalex.org/W2479717569","https://openalex.org/W2518311320","https://openalex.org/W2592931634","https://openalex.org/W2790306981","https://openalex.org/W2790581172","https://openalex.org/W2791747180","https://openalex.org/W2791838784","https://openalex.org/W2793824933","https://openalex.org/W2794179812","https://openalex.org/W2799244951","https://openalex.org/W2800693439","https://openalex.org/W3108769120","https://openalex.org/W3198305722","https://openalex.org/W4293242440"],"related_works":["https://openalex.org/W6998727356","https://openalex.org/W2971925038","https://openalex.org/W4249331667","https://openalex.org/W2036400136","https://openalex.org/W590372522","https://openalex.org/W3001653693","https://openalex.org/W3189517191","https://openalex.org/W3046290673","https://openalex.org/W2379865146","https://openalex.org/W3084371697"],"abstract_inverted_index":{"Quality":[0,42],"oriented":[1],"management":[2,55],"systems":[3],"and":[4,11,26,35,56,60,72,76,101,110,136,139,146,158,174,191,229,238,242,249,297,325,332,422,434,446,455,464,500,505,577,639,656,684,694,702,713,742,750,779],"methods":[5,45,261],"have":[6,46,87,98],"become":[7],"the":[8,29,50,68,106,117,120,127,140,149,197,233,273,287,291,382,385,397,432,435,471,476,480,515,538,545,552,565,571,593,600,626,640,661,690,705,717,738,753,762,777],"dominant":[9],"business":[10,77,685,780],"governance":[12],"paradigm.":[13],"From":[14],"this":[15,194,304,541,624],"perspective,":[16],"satisfying":[17],"customers\u2019":[18],"expectations":[19],"by":[20,488,617,636],"supplying":[21],"reliable,":[22],"good":[23],"quality":[24,54,69,84,143,200,245,274,299,376,674,729,770,783],"products":[25,71,499],"services":[27,73],"is":[28,222,262,352,462,548,596,614,633,643],"key":[30],"factor":[31],"for":[32,155,219,269,384,408,527],"an":[33,310],"organization":[34],"even":[36],"government.":[37],"During":[38],"recent":[39],"decades,":[40],"Statistical":[41],"Control":[43],"(SQC)":[44],"been":[47,88,99],"developed":[48,102,263,454,472,568,662,706,754],"as":[49,183,341,343,354,665,680,682],"technical":[51],"core":[52],"of":[53,70,116,126,129,142,167,186,199,216,283,293,338,348,360,388,431,437,458,479,494,497,514,533,564,574,583,602,689,704,737,752,761,769],"continuous":[57],"improvement":[58,201,275,377,675,730],"philosophy":[59],"now":[61],"are":[62,181,236,301,313,330,417,453,520,535,567,696,708,720,744,756],"being":[63,615],"applied":[64,239],"widely":[65],"to":[66,103,240,264,315,319,370,391,396,403,483,550,569,598],"improve":[67,243],"in":[74,82,90,119,161,177,203,224,246,286,334,358,375,449,466,491,509,523,529,580,588,605,652,669,677,724,732,766,776],"industrial":[75,130,234,311,683,778],"sectors.":[78,163],"Recently":[79],"SQC":[80],"tools,":[81],"particular":[83],"control":[85,133,144,284,307,328,364,489,561,621,771],"charts,":[86],"used":[89],"healthcare":[91,121,525,678,733],"surveillance.":[92],"In":[93,540,623],"some":[94,115,153,281],"cases,":[95],"these":[96],"tools":[97,231],"modified":[100],"better":[104],"suit":[105],"health":[107,205,288],"sector":[108],"characteristics":[109,141,282,300,532],"needs.":[111],"It":[112],"seems":[113],"that":[114,716],"work":[118],"area":[122],"has":[123],"evolved":[124],"independently":[125],"development":[128,160,513],"statistical":[131,270],"process":[132,452],"methods.\r\n\r\nTherefore":[134],"analysing":[135],"comparing":[137],"paradigms":[138],"charts":[145,285,308,329,490],"techniques":[147,176],"across":[148],"different":[150],"sectors":[151],"presents":[152],"opportunities":[154],"transferring":[156],"knowledge":[157],"future":[159],"each":[162,653],"Meanwhile":[164],"considering":[165],"capabilities":[166],"Bayesian":[168,171,258,350,419,429,473,516,546,594,663,692,718,740,763],"approach":[169,351,400,764],"particularly":[170],"hierarchical":[172,420],"models":[173,421,558],"computational":[175,427],"which":[178,530,613],"all":[179],"uncertainty":[180],"expressed":[182],"a":[184,204,212,253,349,355,392,450,510,524,589,603,610,630,666,721],"structure":[185],"probability,":[187],"facilitates":[188],"decision":[189,259],"making":[190,260],"cost-effectiveness":[192],"analyses.\r\n\r\nTherefore,":[193],"research":[195,654],"investigates":[196],"use":[198],"cycle":[202,378,676,731],"vii":[206],"setting":[207],"using":[208,257,645],"clinical":[209,217,278,339,611,631],"data":[210,218,244,250,254,279,296],"from":[211,232,309],"hospital.":[213,591],"The":[214,687,735,759],"need":[215],"monitoring":[220,294,335,467,492,784],"purposes":[221],"investigated":[223,333],"two":[225],"aspects.":[226],"A":[227],"framework":[228,357,693,741],"appropriate":[230],"context":[235,289,312,768],"proposed":[237,353,691,739],"evaluate":[241],"available":[247],"datasets":[248],"flow;":[251],"then":[252,521],"capturing":[255],"algorithm":[256],"determine":[265],"economical":[266],"sample":[267],"size":[268],"analyses":[271],"within":[272,673,728],"cycle.\r\n\r\nFollowing":[276],"ensuring":[277],"quality,":[280],"including":[290,441],"necessity":[292],"attribute":[295],"correlated":[298],"considered.":[302,758],"To":[303],"end,":[305],"multivariate":[306],"adapted":[314],"monitor":[316],"radiation":[317],"delivered":[318],"patients":[320,534],"undergoing":[321],"diagnostic":[322],"coronary":[323],"angiogram":[324],"various":[326,438],"risk-adjusted":[327,560],"constructed":[331,644],"binary":[336],"outcomes":[337,469,587],"interventions":[340],"well":[342,681],"postintervention":[344],"survival":[345,607,619,627,641,646],"time.\r\n\r\nMeanwhile,":[346],"adoption":[347],"new":[356],"estimation":[359,672,727],"change":[361,409,439,448,459,517,670,725],"point":[362,410,460,518,671,726],"following":[363],"chart\u2019s":[365],"signal.":[366,398],"This":[367,399],"estimate":[368,570],"aims":[369],"facilitate":[371],"root":[372],"causes":[373,387],"efforts":[374],"since":[379,412],"it":[380],"cuts":[381],"search":[383],"potential":[386],"detected":[389,487],"changes":[390,576],"tighter":[393],"time-frame":[394],"prior":[395],"enables":[401],"us":[402],"obtain":[404],"highly":[405,659],"informative":[406],"estimates":[407],"parameters":[411],"probability":[413,699,747],"distribution":[414],"based":[415],"results":[416,658,712],"obtained.\r\n\r\nUsing":[418],"Markov":[423],"chain":[424],"Monte":[425],"Carlo":[426],"methods,":[428],"estimators":[430,519,664,695,719,743],"time":[433,478,573,601,608,620,628],"magnitude":[436],"scenarios":[440],"step":[442,575],"change,":[443],"linear":[444,578],"trend":[445],"multiple":[447],"Poisson":[451],"investigated.\r\n\r\nThe":[456],"benefits":[457],"investigation":[461],"revisited":[463],"promoted":[465],"hospital":[468],"where":[470,782],"estimator":[474,547,566,595],"reports":[475],"true":[477,572],"shifts,":[481],"compared":[482],"priori":[484],"known":[485],"causes,":[486],"rate":[493],"excess":[495],"usage":[496],"blood":[498],"major":[501],"adverse":[502],"events":[503],"during":[504],"after":[506,609,629],"cardiac":[507],"surgery":[508],"local":[511,590],"hospital.\r\n\r\nThe":[512],"followed":[522],"surveillances":[526,679],"processes":[528],"pre-intervention":[531],"viii":[536],"affecting":[537],"outcomes.":[539],"setting,":[542],"at":[543],"first,":[544],"extended":[549,597,775],"capture":[551],"patient":[553,637],"mix,":[554],"covariates,":[555],"through":[556],"risk":[557],"underlying":[559],"charts.":[562,622],"Variations":[563],"trends":[579],"odds":[581],"ratio":[582],"intensive":[584],"care":[585],"unit":[586],"Secondly,":[592],"identify":[599],"shift":[604],"mean":[606],"intervention":[612,632],"monitored":[616],"riskadjusted":[618],"context,":[625],"also":[634,709,757,773],"affected":[635],"mix":[638],"function":[642],"prediction":[647],"model.\r\n\r\nThe":[648],"simulation":[649],"study":[650],"undertaken":[651],"component":[655],"obtained":[657],"recommend":[660],"strong":[667,722],"alternative":[668,723],"contexts.":[686],"superiority":[688,736],"enhanced":[697,745],"when":[698,746],"quantification,":[700,748],"flexibility":[701,749],"generalizability":[703,751],"model":[707,755],"considered.\r\n\r\nThe":[710],"empirical":[711],"simulations":[714],"indicate":[715],"surveillances.":[734],"advantages":[760],"seen":[765],"general":[767],"may":[772],"be":[774],"domains":[781],"was":[785],"initially":[786],"developed.":[787]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2016-06-24T00:00:00"}