{"id":"https://openalex.org/W4385734499","doi":"https://doi.org/10.1109/iccta58027.2022.10206105","title":"Interactive Bottleneck Detection in Data Driven Business Process Simulation in Healthcare: Egyptian Case Study","display_name":"Interactive Bottleneck Detection in Data Driven Business Process Simulation in Healthcare: Egyptian Case Study","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4385734499","doi":"https://doi.org/10.1109/iccta58027.2022.10206105"},"language":"en","primary_location":{"id":"doi:10.1109/iccta58027.2022.10206105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccta58027.2022.10206105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 32nd International Conference on Computer Theory and Applications (ICCTA)","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/A5092625070","display_name":"Wessam Ahmed AlBakary","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086935","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":null,"country_code":"EG","type":null,"lineage":["https://openalex.org/I4210086935"]},{"id":"https://openalex.org/I4390039265","display_name":"PRG S&Tech (South Korea)","ror":"https://ror.org/02sr2ee22","country_code":null,"type":"company","lineage":["https://openalex.org/I4390039265"]},{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Wessam Ahmed AlBakary","raw_affiliation_strings":["Arab Academy for Science and Technology,College of Computing and Information Technology","College of Computing and Information Technology, Arab Academy for Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arab Academy for Science and Technology,College of Computing and Information Technology","institution_ids":["https://openalex.org/I4210086935"]},{"raw_affiliation_string":"College of Computing and Information Technology, Arab Academy for Science and Technology","institution_ids":["https://openalex.org/I59272784","https://openalex.org/I4390039265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028672153","display_name":"Ahmed Ahmed Hesham Sedky","orcid":"https://orcid.org/0000-0002-8219-7681"},"institutions":[{"id":"https://openalex.org/I4210086935","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":null,"country_code":"EG","type":null,"lineage":["https://openalex.org/I4210086935"]},{"id":"https://openalex.org/I4390039265","display_name":"PRG S&Tech (South Korea)","ror":"https://ror.org/02sr2ee22","country_code":null,"type":"company","lineage":["https://openalex.org/I4390039265"]},{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ahmed Ahmed Hesham Sedky","raw_affiliation_strings":["Arab Academy for Science and Technology,College of Computing and Information Technology","College of Computing and Information Technology, Arab Academy for Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arab Academy for Science and Technology,College of Computing and Information Technology","institution_ids":["https://openalex.org/I4210086935"]},{"raw_affiliation_string":"College of Computing and Information Technology, Arab Academy for Science and Technology","institution_ids":["https://openalex.org/I59272784","https://openalex.org/I4390039265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004386786","display_name":"Walid Abdelmoez","orcid":"https://orcid.org/0000-0002-8726-605X"},"institutions":[{"id":"https://openalex.org/I4210086935","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":null,"country_code":"EG","type":null,"lineage":["https://openalex.org/I4210086935"]},{"id":"https://openalex.org/I4390039265","display_name":"PRG S&Tech (South Korea)","ror":"https://ror.org/02sr2ee22","country_code":null,"type":"company","lineage":["https://openalex.org/I4390039265"]},{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Walid Abdelmoez","raw_affiliation_strings":["Arab Academy for Science and Technology,College of Computing and Information Technology","College of Computing and Information Technology, Arab Academy for Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arab Academy for Science and Technology,College of Computing and Information Technology","institution_ids":["https://openalex.org/I4210086935"]},{"raw_affiliation_string":"College of Computing and Information Technology, Arab Academy for Science and Technology","institution_ids":["https://openalex.org/I59272784","https://openalex.org/I4390039265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6194,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75084099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"234","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9722999930381775,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9546999931335449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8887319564819336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.740796685218811},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.6719349026679993},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.6579418182373047},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.612003743648529},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.599177360534668},{"id":"https://openalex.org/keywords/business-process-management","display_name":"Business process management","score":0.5567712187767029},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5210111141204834},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5057053565979004},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4754183888435364},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4694839119911194},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.44531965255737305},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4210626184940338},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.41803693771362305},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.3451099991798401},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31207573413848877},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.15074372291564941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1338861882686615},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1259360909461975}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8887319564819336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740796685218811},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.6719349026679993},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.6579418182373047},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.612003743648529},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.599177360534668},{"id":"https://openalex.org/C80309976","wikidata":"https://www.wikidata.org/wiki/Q7007379","display_name":"Business process management","level":4,"score":0.5567712187767029},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5210111141204834},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5057053565979004},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4754183888435364},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4694839119911194},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.44531965255737305},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4210626184940338},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.41803693771362305},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.3451099991798401},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31207573413848877},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.15074372291564941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1338861882686615},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1259360909461975},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/iccta58027.2022.10206105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccta58027.2022.10206105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 32nd International Conference on Computer Theory and Applications (ICCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1035198403","https://openalex.org/W1498431104","https://openalex.org/W1518744880","https://openalex.org/W1530884978","https://openalex.org/W1568657085","https://openalex.org/W1596515083","https://openalex.org/W1913639845","https://openalex.org/W1927076744","https://openalex.org/W1985408364","https://openalex.org/W1991927904","https://openalex.org/W1997875983","https://openalex.org/W2005053378","https://openalex.org/W2008161988","https://openalex.org/W2029176045","https://openalex.org/W2070137128","https://openalex.org/W2092898466","https://openalex.org/W2101238481","https://openalex.org/W2103037286","https://openalex.org/W2122646361","https://openalex.org/W2151164148","https://openalex.org/W2155765253","https://openalex.org/W2164527992","https://openalex.org/W2184610160","https://openalex.org/W2414205703","https://openalex.org/W2523368648","https://openalex.org/W2526226593","https://openalex.org/W2553455089","https://openalex.org/W2581472482","https://openalex.org/W2617577454","https://openalex.org/W2884507774","https://openalex.org/W2891174717","https://openalex.org/W2912330094","https://openalex.org/W2985970978","https://openalex.org/W3013550390","https://openalex.org/W3046657113","https://openalex.org/W3148624077","https://openalex.org/W4250137339","https://openalex.org/W4301969084","https://openalex.org/W6629935637","https://openalex.org/W6634014148","https://openalex.org/W6686064977"],"related_works":["https://openalex.org/W2150478723","https://openalex.org/W4365511202","https://openalex.org/W4300560926","https://openalex.org/W4366534517","https://openalex.org/W2050159024","https://openalex.org/W2734067265","https://openalex.org/W2345053703","https://openalex.org/W2408600672","https://openalex.org/W2972124102","https://openalex.org/W3184122949"],"abstract_inverted_index":{"Using":[0],"the":[1,5,49,52,63,88,101,137,155,162,170,178],"data":[2,67,127,163,181],"logged":[3],"during":[4],"execution":[6,98],"of":[7,27,51,66,96,103,139,157,172],"business":[8],"processes,":[9],"process":[10,54,97,108,165],"mining":[11],"techniques":[12],"can":[13],"be":[14,113],"utilized":[15],"to":[16,36,47,60,91,117,153,161],"examine":[17],"those":[18],"processes.":[19,42],"These":[20],"methods":[21],"are":[22,33,76,84],"used":[23,35,86],"in":[24,73,78,87,130],"a":[25,93],"variety":[26],"fields,":[28],"including":[29],"healthcare,":[30],"where":[31],"they":[32],"primarily":[34],"analyze":[37],"organizational,":[38],"diagnostic,":[39],"and":[40,70,106],"therapeutic":[41],"The":[43],"organization":[44],"is":[45],"able":[46],"verify":[48],"effects":[50,156],"suggested":[53],"modifications":[55],"before":[56],"implementing":[57],"them":[58],"thanks":[59],"simulation,":[61],"despite":[62],"enormous":[64],"volume":[65],"that":[68],"humans":[69],"equipment":[71],"involved":[72],"healthcare":[74,79,89,131,151],"operations":[75],"generating":[77],"information":[80,111],"systems.":[81],"Information":[82],"systems":[83],"being":[85],"industry":[90],"store":[92],"growing":[94],"amount":[95],"data.":[99],"With":[100],"use":[102,146],"bottleneck":[104,159],"detection":[105,160],"data-driven":[107],"modelling,":[109],"this":[110,143],"could":[112],"utilized,":[114],"for":[115],"instance,":[116],"assist":[118],"medical":[119],"facility":[120],"management":[121,124],"with":[122],"capacity":[123],"decisions.":[125],"However,":[126],"quality":[128],"problems":[129],"real-world":[132],"event":[133,179],"logs":[134],"frequently":[135],"compromise":[136],"accuracy":[138],"simulation":[140,166],"results.":[141],"In":[142],"work,":[144],"we":[145],"datasets":[147],"gathered":[148],"from":[149],"Egyptian":[150],"facilities":[152],"show":[154],"incorporating":[158],"driven":[164],"as":[167,169],"well":[168],"importance":[171],"domain":[173],"expertise,":[174],"taking":[175],"into":[176],"account":[177],"log's":[180],"quality.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}