{"id":"https://openalex.org/W4412568228","doi":"https://doi.org/10.1109/ichi64645.2025.00054","title":"Temporal Patterns of Electronic Health Record Use by Healthcare Teams: Associations with Patient Outcomes","display_name":"Temporal Patterns of Electronic Health Record Use by Healthcare Teams: Associations with Patient Outcomes","publication_year":2025,"publication_date":"2025-06-18","ids":{"openalex":"https://openalex.org/W4412568228","doi":"https://doi.org/10.1109/ichi64645.2025.00054"},"language":"en","primary_location":{"id":"doi:10.1109/ichi64645.2025.00054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi64645.2025.00054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 13th International Conference on Healthcare Informatics (ICHI)","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/A5039864055","display_name":"Yubo Feng","orcid":"https://orcid.org/0000-0002-5446-9125"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yubo Feng","raw_affiliation_strings":["Vanderbilt University,Department of Computer Science,Nashville,TN,USA"],"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Department of Computer Science,Nashville,TN,USA","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100714052","display_name":"You Chen","orcid":"https://orcid.org/0000-0001-8232-8840"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"You Chen","raw_affiliation_strings":["Vanderbilt University,Department of Biomedical Informatics,Nashville,TN,USA"],"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Department of Biomedical Informatics,Nashville,TN,USA","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039864055"],"corresponding_institution_ids":["https://openalex.org/I200719446"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26088694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"406","last_page":"413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.9746000170707703,"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":0.9746000170707703,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.7032609581947327},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.6655334830284119},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.49861741065979004},{"id":"https://openalex.org/keywords/electronic-medical-record","display_name":"Electronic medical record","score":0.47821542620658875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40798258781433105},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35819149017333984},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.1905471384525299}],"concepts":[{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.7032609581947327},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.6655334830284119},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.49861741065979004},{"id":"https://openalex.org/C3018060332","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic medical record","level":2,"score":0.47821542620658875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40798258781433105},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35819149017333984},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.1905471384525299},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichi64645.2025.00054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi64645.2025.00054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 13th International Conference on Healthcare Informatics (ICHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1992725212","https://openalex.org/W1997985925","https://openalex.org/W2002549820","https://openalex.org/W2068618758","https://openalex.org/W2102704809","https://openalex.org/W2110791445","https://openalex.org/W2157418166","https://openalex.org/W2159256744","https://openalex.org/W2184675677","https://openalex.org/W2602450572","https://openalex.org/W2625432148","https://openalex.org/W2754674511","https://openalex.org/W2763802637","https://openalex.org/W2915948028","https://openalex.org/W2950509749","https://openalex.org/W3039153256","https://openalex.org/W3046308604","https://openalex.org/W3084670330","https://openalex.org/W3113250099","https://openalex.org/W3195193001","https://openalex.org/W4223962496","https://openalex.org/W4223986128","https://openalex.org/W4306729749","https://openalex.org/W4312131623","https://openalex.org/W4317213429","https://openalex.org/W4387439246"],"related_works":["https://openalex.org/W187932805","https://openalex.org/W2391441194","https://openalex.org/W2034489805","https://openalex.org/W2182132744","https://openalex.org/W2909369938","https://openalex.org/W2319754990","https://openalex.org/W4392490004","https://openalex.org/W1641026212","https://openalex.org/W4402738807","https://openalex.org/W2386164369"],"abstract_inverted_index":{"While":[0],"variations":[1,43,164,367],"in":[2,44,78,85,94,108,165,248,312,320],"electronic":[3],"health":[4],"record":[5],"(EHR)":[6],"use":[7,22,38,382],"among":[8],"healthcare":[9,24,73,118,384],"professionals":[10,74,90,119],"and":[11,47,82,153,193,203,225,230,295,338,344,351],"across":[12],"sociodemographic":[13],"patient":[14,52,148,218,389,415],"groups":[15],"have":[16],"been":[17],"studied,":[18],"the":[19,79,86,95,125,137,249,321,397],"temporal":[20,36,113,378],"EHR":[21,37,56,101,263,288,333,381],"by":[23,39,240,266,291,305,336,341,383],"teams":[25,385],"remains":[26],"underexplored.":[27],"This":[28],"study":[29],"aims":[30],"to":[31,34,68,135,242,307,359,395,409],"develop":[32],"metrics":[33],"quantify":[35,136],"teams,":[40],"measure":[41],"racial":[42,163],"these":[45,211,366],"patterns,":[46],"assess":[48],"their":[49,105,313],"associations":[50,200],"with":[51,299,302,371,388,407],"outcomes":[53],"using":[54],"large-scale":[55],"audit":[57,66],"logs.":[58],"For":[59],"each":[60,140,147,245],"patient\u2019s":[61,80,87,126,144],"care":[62,81],"episode,":[63],"we":[64],"used":[65,134],"logs":[67],"construct":[69],"a":[70,143,151,236],"sequence":[71,96,149],"of":[72,117,120,139,206,216,235,251,323,380],"who":[75],"were":[76,220,297,347,368],"involved":[77],"performed":[83,99,265,290,335],"actions":[84,102,106,264,289,334],"EHR.":[88],"Two":[89],"are":[91,386,402],"considered":[92],"neighbors":[93],"if":[97,104],"they":[98],"consecutive":[100,262,287,332],"or":[103,340,404],"overlapped":[107],"time.":[109,195],"We":[110],"then":[111],"identified":[112],"patterns":[114,379],"as":[115,150,155],"k-tuples\u2014subsequences":[116],"length":[121,205],"k":[122,256,281,328],"extracted":[123],"from":[124,357],"sequence.":[127],"Term":[128],"Frequency-Inverse":[129],"Document":[130],"Frequency":[131],"(TF-IDF)":[132],"was":[133],"importance":[138],"k-tuple":[141],"within":[142],"sequence,":[145],"treating":[146],"document":[152],"k-tuples":[154,202,253,278,325,400],"words.":[156],"Proportional-odds":[157],"(PO)":[158],"logistic":[159],"regression":[160],"models":[161,197],"evaluated":[162],"k-tuples,":[166],"adjusting":[167],"for":[168,210,244],"baseline":[169,212],"factors":[170],"including":[171],"body":[172],"mass":[173],"index,":[174],"type":[175],"2":[176],"diabetes":[177],"mellitus,":[178],"surgery":[179,191,194],"type,":[180],"age,":[181],"sex,":[182],"Charlson":[183],"Comorbidity":[184],"Index,":[185],"hypertension,":[186],"ischemic":[187],"heart":[188],"disease,":[189],"depression,":[190],"duration,":[192],"PO":[196],"also":[198],"assessed":[199],"between":[201,349],"postoperative":[204],"stay":[207],"(PLOS),":[208],"controlling":[209],"variables.":[213],"A":[214],"total":[215],"1,691":[217],"sequences":[219],"analyzed,":[221],"generating":[222],"487,":[223],"1,870,":[224],"4,408":[226],"unique":[227],"3-,":[228],"4-,":[229],"5-tuples,":[231],"respectively.":[232],"The":[233],"odds":[234,303],"longer":[237],"PLOS":[238,408],"increased":[239],"0.7%":[241],"5.5%":[243],"unit":[246,310],"increase":[247,311],"TF-IDF":[250,314,322],"12":[252],"(3":[254,279,326],"\u2264":[255,257,280,282,327,329],"5),":[258,283],"particularly":[259,284],"those":[260,285],"involving":[261,286,331],"multiple":[267],"anesthesiologists":[268],"(false":[269],"discovery":[270],"rate":[271],"[FDR]":[272],"p":[273,316,362],"<":[274,317,363],"0.05).":[275,318],"Conversely,":[276],"nine":[277],"resident":[292,342],"physicians,":[293,296],"anesthesiologists,":[294,339],"associated":[298,370,387,406],"shorter":[300],"PLOS,":[301],"decreasing":[304],"1.3%":[306],"6.1%":[308],"per":[309],"(FDR":[315],"Variations":[319],"four":[324],"5)":[330],"physicians":[337,343],"nurse":[345],"anesthetists,":[346],"observed":[348],"White":[350],"Black":[352],"patients":[353],"(odds":[354],"ratios":[355],"ranging":[356],"1.009":[358],"1.023,":[360],"FDR":[361],"0.05);":[364],"importantly,":[365],"not":[369],"PLOS.":[372],"Our":[373],"findings":[374],"suggest":[375],"that":[376,401],"specific":[377],"outcomes.":[390,416],"Further":[391],"research":[392],"is":[393],"needed":[394],"investigate":[396],"reasons":[398],"behind":[399],"positively":[403],"negatively":[405],"inform":[410],"guidelines":[411],"aimed":[412],"at":[413],"improving":[414]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
