{"id":"https://openalex.org/W7126038303","doi":"https://doi.org/10.1109/bibm66473.2025.11356686","title":"Transformer-based Prediction of Screen Transition for EMR Navigation Support","display_name":"Transformer-based Prediction of Screen Transition for EMR Navigation Support","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126038303","doi":"https://doi.org/10.1109/bibm66473.2025.11356686"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5106369511","display_name":"Junya Inoh","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Junya Inoh","raw_affiliation_strings":["Biometrics Research Laboratories, NEC Corporation,Kanagawa,Japan"],"affiliations":[{"raw_affiliation_string":"Biometrics Research Laboratories, NEC Corporation,Kanagawa,Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123299143","display_name":"Kengo Miyo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094012","display_name":"National Center for Global Health and Medicine","ror":"https://ror.org/00r9w3j27","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210094012"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kengo Miyo","raw_affiliation_strings":["Japan Institute of Health Security,National Center for Global Health and Medicine,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Japan Institute of Health Security,National Center for Global Health and Medicine,Tokyo,Japan","institution_ids":["https://openalex.org/I4210094012"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083210802","display_name":"Shuhei Noyori","orcid":"https://orcid.org/0000-0001-5231-4114"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuhei Noyori","raw_affiliation_strings":["Biometrics Research Laboratories, NEC Corporation,Kanagawa,Japan"],"affiliations":[{"raw_affiliation_string":"Biometrics Research Laboratories, NEC Corporation,Kanagawa,Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044057309","display_name":"Takafumi Yoshinaga","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takafumi Yoshinaga","raw_affiliation_strings":["NEC Corporation,Medical Solutions Department,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"NEC Corporation,Medical Solutions Department,Tokyo,Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105018660","display_name":"Ryota Nishi","orcid":"https://orcid.org/0009-0005-9653-1045"},"institutions":[{"id":"https://openalex.org/I4210094012","display_name":"National Center for Global Health and Medicine","ror":"https://ror.org/00r9w3j27","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210094012"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryota Nishi","raw_affiliation_strings":["Japan Institute of Health Security,National Center for Global Health and Medicine,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Japan Institute of Health Security,National Center for Global Health and Medicine,Tokyo,Japan","institution_ids":["https://openalex.org/I4210094012"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124189961","display_name":"Yuki Kodama","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094012","display_name":"National Center for Global Health and Medicine","ror":"https://ror.org/00r9w3j27","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210094012"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Kodama","raw_affiliation_strings":["Japan Institute of Health Security,National Center for Global Health and Medicine,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Japan Institute of Health Security,National Center for Global Health and Medicine,Tokyo,Japan","institution_ids":["https://openalex.org/I4210094012"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050358434","display_name":"Masanori Tsujikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanori Tsujikawa","raw_affiliation_strings":["Biometrics Research Laboratories, NEC Corporation,Kanagawa,Japan"],"affiliations":[{"raw_affiliation_string":"Biometrics Research Laboratories, NEC Corporation,Kanagawa,Japan","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5106369511"],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.81612066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3725","last_page":"3730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.8693000078201294,"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"}},"topics":[{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.8693000078201294,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.0681999996304512,"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"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.00989999994635582,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/workflow","display_name":"Workflow","score":0.6830000281333923},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.6237000226974487},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6194000244140625},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.474700003862381},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.38690000772476196},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.33880001306533813},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.33649998903274536}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6830000281333923},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.6237000226974487},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6194000244140625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.564300000667572},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.474700003862381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4214000105857849},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41830000281333923},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37599998712539673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3472999930381775},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.33649998903274536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.304500013589859},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30250000953674316},{"id":"https://openalex.org/C170003942","wikidata":"https://www.wikidata.org/wiki/Q861066","display_name":"Display size","level":3,"score":0.2827000021934509},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.27869999408721924},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.27639999985694885},{"id":"https://openalex.org/C3017738328","wikidata":"https://www.wikidata.org/wiki/Q613366","display_name":"User group","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C3019659195","wikidata":"https://www.wikidata.org/wiki/Q5690566","display_name":"Meaningful use","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.25589999556541443},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":9,"referenced_works":["https://openalex.org/W1966822927","https://openalex.org/W1983519799","https://openalex.org/W2125477920","https://openalex.org/W2150290401","https://openalex.org/W2810283546","https://openalex.org/W3038068158","https://openalex.org/W3080188951","https://openalex.org/W4385245566","https://openalex.org/W4400607685"],"related_works":[],"abstract_inverted_index":{"Electronic":[0],"medical":[1],"record":[2],"(EMR)":[3],"systems":[4],"are":[5],"integral":[6],"to":[7,55,80,100,109,128],"modern":[8],"healthcare,":[9],"but":[10],"they":[11],"often":[12],"suffer":[13],"from":[14],"usability":[15],"issues":[16],"such":[17,149],"as":[18,65,150],"fragmented":[19],"screen":[20,58,77,151],"layouts,":[21],"which":[22],"reduces":[23],"workflow":[24],"efficiency":[25],"and":[26,46,70,94,119,125,130,135,154],"imposes":[27],"additional":[28],"cognitive":[29],"burden":[30],"on":[31],"clinicians.":[32],"To":[33],"address":[34],"this":[35],"issue,":[36],"we":[37],"propose":[38],"an":[39],"EMR":[40],"navigation":[41],"support":[42],"system":[43],"that":[44,75,145],"predicts":[45],"suggests":[47],"the":[48,91],"next":[49],"screens":[50],"a":[51,66,72,85],"user":[52,155],"is":[53],"likely":[54],"access,":[56],"using":[57],"transition":[59,152],"logs.":[60],"We":[61,83],"formulate":[62],"next-screen":[63],"prediction":[64,158],"sequential":[67],"modeling":[68],"problem":[69],"employ":[71],"decoder-only":[73],"transformer":[74,93,133,136],"treats":[76],"transitions":[78],"analogously":[79],"language":[81],"modeling.":[82],"evaluated":[84],"set":[86],"of":[87],"transformer-based":[88],"approaches,":[89],"including":[90],"original":[92],"its":[95],"variant":[96],"incorporating":[97,146],"user's":[98,139],"attributes":[99],"capture":[101],"context-aware":[102],"behavior":[103],"patterns.":[104],"These":[105],"methods":[106,124],"were":[107,117,126],"compared":[108],"two":[110],"frequency-based":[111],"baseline":[112,123],"methods.":[113],"The":[114,142],"top-3":[115],"accuracies":[116],"63.17%":[118],"69.01":[120],"%":[121],"for":[122,132],"improved":[127],"71.83%":[129],"75.50%":[131],"model":[134,137],"with":[138],"attributes,":[140,156],"respectively.":[141],"results":[143],"indicate":[144],"contextual":[147],"information,":[148],"logs":[153],"enhances":[157],"accuracy.":[159]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}