{"id":"https://openalex.org/W4412021554","doi":"https://doi.org/10.1109/cbms65348.2025.00111","title":"Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data","display_name":"Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data","publication_year":2025,"publication_date":"2025-06-18","ids":{"openalex":"https://openalex.org/W4412021554","doi":"https://doi.org/10.1109/cbms65348.2025.00111"},"language":"en","primary_location":{"id":"doi:10.1109/cbms65348.2025.00111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms65348.2025.00111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)","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":null,"display_name":"Miwa Sugitani","orcid":null},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Miwa Sugitani","raw_affiliation_strings":["Ochanomizu University,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Ochanomizu University,Tokyo,Japan","institution_ids":["https://openalex.org/I26120043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047113743","display_name":"Ryosuke Matsuo","orcid":"https://orcid.org/0000-0001-8432-7796"},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Matsuo","raw_affiliation_strings":["Ochanomizu University,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Ochanomizu University,Tokyo,Japan","institution_ids":["https://openalex.org/I26120043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101822928","display_name":"Tomoyoshi Yamazaki","orcid":null},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoyoshi Yamazaki","raw_affiliation_strings":["Ochanomizu University,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Ochanomizu University,Tokyo,Japan","institution_ids":["https://openalex.org/I26120043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103103711","display_name":"Kenji Araki","orcid":"https://orcid.org/0000-0002-0559-259X"},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Araki","raw_affiliation_strings":["Ochanomizu University,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Ochanomizu University,Tokyo,Japan","institution_ids":["https://openalex.org/I26120043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026650274","display_name":"Masato Oguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Oguchi","raw_affiliation_strings":["Ochanomizu University,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Ochanomizu University,Tokyo,Japan","institution_ids":["https://openalex.org/I26120043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022568434","display_name":"Haruo Yokota","orcid":"https://orcid.org/0000-0001-9788-0443"},"institutions":[{"id":"https://openalex.org/I201389808","display_name":"Josai University","ror":"https://ror.org/021r6aq66","country_code":"JP","type":"education","lineage":["https://openalex.org/I201389808"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haruo Yokota","raw_affiliation_strings":["Josai University,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Josai University,Tokyo,Japan","institution_ids":["https://openalex.org/I201389808"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048426801","display_name":"Hieu Le","orcid":"https://orcid.org/0000-0002-5421-1589"},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hieu Hanh Le","raw_affiliation_strings":["Ochanomizu University,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Ochanomizu University,Tokyo,Japan","institution_ids":["https://openalex.org/I26120043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I26120043"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13492473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"514","last_page":"515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.871399998664856,"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"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.871399998664856,"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"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.8367999792098999,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.8202999830245972,"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/computer-science","display_name":"Computer science","score":0.7178124785423279},{"id":"https://openalex.org/keywords/electronic-medical-record","display_name":"Electronic medical record","score":0.6194024682044983},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5246915221214294},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.47289979457855225},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.463388055562973},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4160260558128357},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33708655834198},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30162978172302246},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.15213873982429504},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12767618894577026}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7178124785423279},{"id":"https://openalex.org/C3018060332","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic medical record","level":2,"score":0.6194024682044983},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5246915221214294},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.47289979457855225},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.463388055562973},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4160260558128357},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33708655834198},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30162978172302246},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.15213873982429504},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12767618894577026},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbms65348.2025.00111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms65348.2025.00111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.699999988079071,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1727630672","display_name":null,"funder_award_id":"24K02943","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"}],"funders":[{"id":"https://openalex.org/F4320320212","display_name":"Japan Society for the Promotion of Science London","ror":"https://ror.org/02m7axw05"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2514846710","https://openalex.org/W4295290414"],"related_works":["https://openalex.org/W2091636677","https://openalex.org/W2013728941","https://openalex.org/W2381274092","https://openalex.org/W4225274103","https://openalex.org/W2154046714","https://openalex.org/W2385306558","https://openalex.org/W2371025015","https://openalex.org/W2189613078","https://openalex.org/W2579659702","https://openalex.org/W2923661510"],"abstract_inverted_index":{"Despite":[0],"the":[1,9,57],"widespread":[2],"adoption":[3],"of":[4,28,56],"electronic":[5],"medical":[6],"records":[7],"(EMR),":[8],"variations":[10],"in":[11],"format":[12],"and":[13,20,34,44,66],"terminology":[14],"across":[15],"institutions":[16],"hinder":[17],"inter-institutional":[18],"comparisons":[19],"feature":[21],"extraction.":[22],"This":[23],"paper":[24],"proposes":[25],"a":[26],"demonstration":[27],"extracting":[29],"frequent":[30],"disease-specific":[31],"instruction":[32],"sequences":[33],"efficiently":[35],"visualizing":[36],"them":[37],"with":[38],"statistical":[39,42],"insights,":[40],"e.g.":[41],"trends,":[43],"abnormal":[45],"inspection":[46],"result":[47],"rates":[48],"from":[49],"real":[50],"multi-institutional":[51],"EMR":[52],"data.":[53],"The":[54],"utility":[55],"developed":[58],"visualization":[59],"tool":[60],"was":[61],"presented":[62],"for":[63],"decision":[64],"support":[65],"improving":[67],"clinical":[68],"processes.":[69]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
