{"id":"https://openalex.org/W3128951979","doi":"https://doi.org/10.1109/bibm49941.2020.9313343","title":"Storage Efficient Implementation of Standardized Electronic Health Records Data","display_name":"Storage Efficient Implementation of Standardized Electronic Health Records Data","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3128951979","doi":"https://doi.org/10.1109/bibm49941.2020.9313343","mag":"3128951979"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004671903","display_name":"Shelly Sachdeva","orcid":"https://orcid.org/0000-0003-4088-1271"},"institutions":[{"id":"https://openalex.org/I44635919","display_name":"National Institute of Technology Delhi","ror":"https://ror.org/032twef21","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210152752","https://openalex.org/I44635919"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shelly Sachdeva","raw_affiliation_strings":["National Institute of Technology, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I44635919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078803150","display_name":"Disha Batra","orcid":null},"institutions":[{"id":"https://openalex.org/I38919395","display_name":"Indian Institute of Foreign Trade","ror":"https://ror.org/00efgh409","country_code":"IN","type":"education","lineage":["https://openalex.org/I38919395"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Disha Batra","raw_affiliation_strings":["Indian Institute of Foreign Trade, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Foreign Trade, Delhi, India","institution_ids":["https://openalex.org/I38919395"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108594892","display_name":"Shivani Batra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shivani Batra","raw_affiliation_strings":["Delhi-NCR, KIET Group of Institutions, Ghaziabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi-NCR, KIET Group of Institutions, Ghaziabad, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7545,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87566186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2062","last_page":"2065"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T11719","display_name":"Data Quality and Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9944000244140625,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7736766338348389},{"id":"https://openalex.org/keywords/logical-data-model","display_name":"Logical data model","score":0.6404746770858765},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5844469666481018},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5757384896278381},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.538926362991333},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5080733299255371},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5005812644958496},{"id":"https://openalex.org/keywords/relational-model","display_name":"Relational model","score":0.4837324917316437},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.48246294260025024},{"id":"https://openalex.org/keywords/interoperability","display_name":"Interoperability","score":0.4277178943157196},{"id":"https://openalex.org/keywords/data-model","display_name":"Data model (GIS)","score":0.4165261387825012},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4006330370903015},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3569672703742981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14467191696166992},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09852898120880127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736766338348389},{"id":"https://openalex.org/C203702819","wikidata":"https://www.wikidata.org/wiki/Q17146953","display_name":"Logical data model","level":3,"score":0.6404746770858765},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5844469666481018},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5757384896278381},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.538926362991333},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5080733299255371},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5005812644958496},{"id":"https://openalex.org/C40207289","wikidata":"https://www.wikidata.org/wiki/Q755662","display_name":"Relational model","level":3,"score":0.4837324917316437},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.48246294260025024},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.4277178943157196},{"id":"https://openalex.org/C100463513","wikidata":"https://www.wikidata.org/wiki/Q5227322","display_name":"Data model (GIS)","level":2,"score":0.4165261387825012},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4006330370903015},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3569672703742981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14467191696166992},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09852898120880127},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":8,"referenced_works":["https://openalex.org/W285187126","https://openalex.org/W1508992459","https://openalex.org/W2044900550","https://openalex.org/W2048331538","https://openalex.org/W2050903150","https://openalex.org/W2067620672","https://openalex.org/W2157979971","https://openalex.org/W2181619155"],"related_works":["https://openalex.org/W3022423983","https://openalex.org/W4385834214","https://openalex.org/W1966209153","https://openalex.org/W4297044271","https://openalex.org/W3113909106","https://openalex.org/W11645981","https://openalex.org/W3162529344","https://openalex.org/W1977484138","https://openalex.org/W3085938636","https://openalex.org/W2768265678"],"abstract_inverted_index":{"Ever":[0],"changing":[1,162],"behavior":[2],"of":[3,22,31,40,60,85,90,128,153,161,177,195],"Electronic":[4],"Health":[5],"Records":[6],"(EHRs)":[7],"demands":[8],"a":[9,45,72,246],"generic":[10,73,86],"schema":[11,74,87],"that":[12,215],"can":[13],"adopt":[14,204],"any":[15],"new":[16],"knowledge.":[17],"Moreover,":[18],"the":[19,29,38,41,66,83,119,125,133,138,159,193,205,216,224,229,234,239,251,263],"exponential":[20],"growth":[21],"EHRs":[23,155,197],"should":[24],"be":[25,262],"managed":[26],"by":[27,137,182,243],"eliminating":[28],"need":[30],"storing":[32,49],"sparse":[33],"values.":[34],"Traditional":[35],"approaches":[36],"favor":[37],"adoption":[39],"relational":[42,67,139,150],"approach":[43,219],"as":[44,97,130],"data":[46,50,62,129,151,178,231,240,268],"model":[47,68,232],"for":[48,187,208],"due":[51],"to":[52,132,156,198,261],"its":[53],"simplicity,":[54],"SQL":[55],"query":[56,188],"support,":[57],"and":[58,75,88,110,168,170,174,184,202],"availability":[59],"mature":[61],"analysis":[63],"tools.":[64],"However,":[65],"falls":[69],"short":[70],"when":[71,254],"eradicating":[76],"sparseness":[77,91],"are":[78],"utterly":[79],"required.":[80],"To":[81],"accommodate":[82],"requirements":[84],"elimination":[89],"in":[92,142,256],"EHRs,":[93],"alternative":[94],"models":[95,123,241],"such":[96],"Entity":[98,106],"Attribute":[99,107],"Value":[100,108],"(EAV),":[101],"Dynamic":[102],"Tables":[103],"(DT),":[104],"Optimized":[105,111],"(OEAV),":[109],"Column-oriented":[112],"Model":[113],"(OCOM)":[114],"have":[115],"been":[116,213],"proposed":[117],"at":[118],"logical":[120,163],"level.":[121],"These":[122],"utilize":[124],"vertical":[126],"representation":[127,135],"opposed":[131],"horizontal":[134],"used":[136],"model.":[140],"Authors":[141],"current":[143],"research":[144],"considered":[145],"50K":[146],"instances":[147],"(as":[148],"per":[149],"model)":[152],"standardized":[154,196],"critically":[157],"analyze":[158],"impact":[160],"(i.e.,":[164,172],"EAV,":[165],"DT,":[166,253],"OEAV,":[167],"OCOM)":[169],"physical":[171],"row-oriented":[173,225],"column-oriented)":[175],"structure":[176],"on":[179],"space":[180],"acquired":[181],"dataset":[183],"time":[185],"required":[186],"execution.":[189],"Further,":[190],"authors":[191],"favored":[192],"use":[194],"achieve":[199],"semantic":[200],"interoperability":[201],"thus,":[203],"openEHR":[206],"standard":[207],"experimentation":[209],"purpose.":[210],"It":[211],"has":[212],"observed":[214],"column-oriented":[217,247,257],"storage":[218,226,248],"is":[220,233,259],"more":[221],"space-efficient":[222,236],"than":[223],"approach.":[227],"Also,":[228],"OCOM":[230],"most":[235,264],"among":[237,266],"all":[238],"followed":[242],"DT":[244],"(using":[245],"approach).":[249],"On":[250],"contrary,":[252],"stored":[255],"databases,":[258],"found":[260],"time-efficient":[265],"analyzed":[267],"models.":[269]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
