{"id":"https://openalex.org/W4403723981","doi":"https://doi.org/10.1109/dsaa61799.2024.10722806","title":"No Data Left Behind: Exogenous Variables in Long-Term Forecasting of Nursing Staff Capacity","display_name":"No Data Left Behind: Exogenous Variables in Long-Term Forecasting of Nursing Staff Capacity","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4403723981","doi":"https://doi.org/10.1109/dsaa61799.2024.10722806"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa61799.2024.10722806","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dsaa61799.2024.10722806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5108553640","display_name":"Emily Schiller","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Emily Schiller","raw_affiliation_strings":["XITASO GmbH IT &#x0026; Software Solutions,Augsburg,Germany"],"affiliations":[{"raw_affiliation_string":"XITASO GmbH IT &#x0026; Software Solutions,Augsburg,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108114569","display_name":"Simon M\u00fcller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simon M\u00fcller","raw_affiliation_strings":["XITASO GmbH IT &#x0026; Software Solutions,Augsburg,Germany"],"affiliations":[{"raw_affiliation_string":"XITASO GmbH IT &#x0026; Software Solutions,Augsburg,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114392430","display_name":"Kathrin Ebertsch","orcid":null},"institutions":[{"id":"https://openalex.org/I2802007660","display_name":"University Hospital Augsburg","ror":"https://ror.org/03b0k9c14","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2802007660"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kathrin Ebertsch","raw_affiliation_strings":["Augsburg University Hospital,Department for digitalization and nursing science,Augsburg,Germany"],"affiliations":[{"raw_affiliation_string":"Augsburg University Hospital,Department for digitalization and nursing science,Augsburg,Germany","institution_ids":["https://openalex.org/I2802007660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114392431","display_name":"Jan-Philipp Stczh\u00f6fer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jan-Philipp Stegh\u00f6fer","raw_affiliation_strings":["XITASO GmbH IT &#x0026; Software Solutions,Augsburg,Germany"],"affiliations":[{"raw_affiliation_string":"XITASO GmbH IT &#x0026; Software Solutions,Augsburg,Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108553640"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8958,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79690994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12781","display_name":"Global Health Care Issues","score":0.9350000023841858,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"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/T12781","display_name":"Global Health Care Issues","score":0.9350000023841858,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"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/T10391","display_name":"Healthcare Policy and Management","score":0.9021999835968018,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7356933355331421},{"id":"https://openalex.org/keywords/nursing-staff","display_name":"Nursing staff","score":0.417605459690094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40912121534347534},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.4019124507904053},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.38948509097099304},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.37847501039505005},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2831772565841675},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.19763267040252686},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09730195999145508}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7356933355331421},{"id":"https://openalex.org/C3019644165","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing staff","level":2,"score":0.417605459690094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40912121534347534},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.4019124507904053},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.38948509097099304},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.37847501039505005},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2831772565841675},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.19763267040252686},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09730195999145508},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa61799.2024.10722806","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dsaa61799.2024.10722806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W24128161","https://openalex.org/W27769369","https://openalex.org/W1606073086","https://openalex.org/W2001414605","https://openalex.org/W2032927332","https://openalex.org/W2057865045","https://openalex.org/W2098426023","https://openalex.org/W2114494151","https://openalex.org/W2117338868","https://openalex.org/W2143228556","https://openalex.org/W2181523240","https://openalex.org/W2523317561","https://openalex.org/W2901525782","https://openalex.org/W2952999484","https://openalex.org/W2978358126","https://openalex.org/W2984273202","https://openalex.org/W3000402468","https://openalex.org/W3090782707","https://openalex.org/W3199818310","https://openalex.org/W3201170262","https://openalex.org/W3217360279","https://openalex.org/W4206083433","https://openalex.org/W4283023366","https://openalex.org/W4312512835","https://openalex.org/W4318465317","https://openalex.org/W4318567432","https://openalex.org/W4382203079","https://openalex.org/W4385270114","https://openalex.org/W4387481205","https://openalex.org/W4390277247","https://openalex.org/W6802185124","https://openalex.org/W6846825190","https://openalex.org/W6850911720","https://openalex.org/W6851690559"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2980611886","https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2330575325","https://openalex.org/W2163803519","https://openalex.org/W2497592525","https://openalex.org/W3096145648","https://openalex.org/W3197510923","https://openalex.org/W4225752732"],"abstract_inverted_index":{"Accurate":[0],"forecasts":[1],"of":[2,28,73,83,99,125,158,169,176],"nursing":[3,18,70,96,186],"staff":[4,71,97,187],"capacity":[5,98],"have":[6],"the":[7,81,95,114,123,131,145,167,174,182],"potential":[8,62],"to":[9,152,184],"support":[10],"shift":[11],"planners":[12],"in":[13,31,93,102],"creating":[14],"optimal":[15],"schedules":[16],"for":[17,23,38],"staff,":[19],"which":[20],"is":[21,181],"crucial":[22],"job":[24],"satisfaction":[25],"and":[26,91,116,148,171],"quality":[27],"care":[29],"provided":[30],"hospitals.":[32],"Recently":[33],"presented":[34],"deep":[35],"learning":[36],"methods":[37],"long-term":[39],"time":[40,66],"series":[41,67],"forecasting":[42,94],"(LTSF)":[43],"show":[44,141],"promising":[45],"results":[46,140],"on":[47],"multiple":[48,74],"use":[49],"cases.":[50],"However,":[51],"many":[52],"state-of-the-art":[53],"LTSF":[54,85],"approaches":[55],"like":[56],"PatchTST":[57],"produce":[58],"univariate":[59],"forecasts,":[60],"neglecting":[61],"correlations":[63],"between":[64],"different":[65],"such":[68],"as":[69,133,135],"capacities":[72],"wards.":[75],"In":[76],"this":[77,179],"paper,":[78],"we":[79,121],"compare":[80],"performance":[82,168],"several":[84],"models,":[86],"namely":[87],"TSMixer,":[88],"TiDE,":[89],"PatchTST,":[90],"LightGBM,":[92],"a":[100,103],"ward":[101],"German":[104],"hospital.":[105],"These":[106],"models":[107,147],"are":[108],"benchmarked":[109],"against":[110],"traditional":[111],"approaches,":[112],"specifically":[113],"ARIMA":[115],"Naive":[117],"Seasonal":[118],"baselines.":[119],"Additionally,":[120],"assess":[122],"impact":[124],"including":[126,163],"exogenous":[127,164],"variables":[128,165],"from":[129],"within":[130],"hospital":[132],"well":[134],"external":[136],"data":[137],"sources.":[138],"Our":[139],"that":[142,162],"TSMixer":[143,170],"outperforms":[144],"other":[146],"baselines":[149],"by":[150],"up":[151],"57.40":[153],"%,":[154],"with":[155],"an":[156],"MAE":[157],"1.126.":[159],"We":[160],"find":[161],"improves":[166],"LightGBM.":[172],"To":[173],"best":[175],"our":[177],"knowledge,":[178],"study":[180],"first":[183],"predict":[185],"capacity.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
