{"id":"https://openalex.org/W2513636309","doi":"https://doi.org/10.21863/ijbai/2016.4.1.014","title":"Claim Analytics across Multiple Insurance Lines of Business","display_name":"Claim Analytics across Multiple Insurance Lines of Business","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2513636309","doi":"https://doi.org/10.21863/ijbai/2016.4.1.014","mag":"2513636309"},"language":"en","primary_location":{"id":"doi:10.21863/ijbai/2016.4.1.014","doi":"https://doi.org/10.21863/ijbai/2016.4.1.014","is_oa":false,"landing_page_url":"https://doi.org/10.21863/ijbai/2016.4.1.014","pdf_url":null,"source":{"id":"https://openalex.org/S4210222320","display_name":"International Journal of Business Analytics and Intelligence","issn_l":"2321-1857","issn":["2321-1857"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Business Analytics and Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5112210018","display_name":"Ravi Chandra Vemuri","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ravi Chandra Vemuri","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071478799","display_name":"Balaeswar Nookala","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Balaeswar Nookala","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015853682","display_name":"Ramakrishnan Chandrasekaran","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramakrishnan Chandrasekaran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016575604","display_name":"Madhavi Kharkar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Madhavi Kharkar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025001859","display_name":"Sarita Rao","orcid":"https://orcid.org/0009-0008-5363-8952","observed_orcids":["https://orcid.org/0009-0008-5363-8952"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sarita Rao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"4","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12394","display_name":"Insurance and Financial Risk Management","score":0.8960000276565552,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12394","display_name":"Insurance and Financial Risk Management","score":0.8960000276565552,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11720","display_name":"Probability and Risk Models","score":0.030799999833106995,"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/T12384","display_name":"Customer churn and segmentation","score":0.01769999973475933,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/insurance-claims","display_name":"insurance claims","score":0.5699999928474426},{"id":"https://openalex.org/keywords/auto-insurance","display_name":"automobile insurance","score":0.7390000224113464},{"id":"https://openalex.org/keywords/life-insurance","display_name":"life insurance","score":0.9990000128746033},{"id":"https://openalex.org/keywords/health-insurance","display_name":"health insurance","score":1.0},{"id":"https://openalex.org/keywords/underwriting-risk","display_name":"underwriting risk","score":0.718999981880188}],"concepts":[{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5807340741157532},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.5652316808700562},{"id":"https://openalex.org/C129209150","wikidata":"https://www.wikidata.org/wiki/Q897674","display_name":"Line of business","level":5,"score":0.5463786721229553},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.5114101767539978},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.48163026571273804},{"id":"https://openalex.org/C37952496","wikidata":"https://www.wikidata.org/wiki/Q5001829","display_name":"Business analytics","level":4,"score":0.46223360300064087},{"id":"https://openalex.org/C57252376","wikidata":"https://www.wikidata.org/wiki/Q1896170","display_name":"Business case","level":2,"score":0.4248071610927582},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.42164134979248047},{"id":"https://openalex.org/C4216890","wikidata":"https://www.wikidata.org/wiki/Q815823","display_name":"Business model","level":2,"score":0.34016358852386475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32671058177948},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3015759587287903},{"id":"https://openalex.org/C189076506","wikidata":"https://www.wikidata.org/wiki/Q1518232","display_name":"Business analysis","level":3,"score":0.27004575729370117},{"id":"https://openalex.org/C65257409","wikidata":"https://www.wikidata.org/wiki/Q734253","display_name":"Electronic business","level":3,"score":0.21331411600112915},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.18936103582382202},{"id":"https://openalex.org/C199364280","wikidata":"https://www.wikidata.org/wiki/Q5001929","display_name":"Business relationship management","level":4,"score":0.1565706431865692}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21863/ijbai/2016.4.1.014","doi":"https://doi.org/10.21863/ijbai/2016.4.1.014","is_oa":false,"landing_page_url":"https://doi.org/10.21863/ijbai/2016.4.1.014","pdf_url":null,"source":{"id":"https://openalex.org/S4210222320","display_name":"International Journal of Business Analytics and Intelligence","issn_l":"2321-1857","issn":["2321-1857"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Business Analytics and Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2490938344","https://openalex.org/W7140159070","https://openalex.org/W4407737840","https://openalex.org/W4393065975","https://openalex.org/W7019356402","https://openalex.org/W7155203990","https://openalex.org/W7207605013","https://openalex.org/W7152532132","https://openalex.org/W3126478582","https://openalex.org/W4405829212"],"abstract_inverted_index":{"Claim":[0],"loss":[1,111],"payouts":[2],"attribute":[3],"most":[4],"significantly":[5],"to":[6,44,51,115,174,195,270,275],"the":[7,49,93,98,107,178,181,186,196,204,214,230,236,254,271],"overall":[8],"costs":[9],"of":[10,70,110,169,209,220,242],"any":[11,68],"insurance":[12,73,223],"company":[13],"and":[14,32,53,56,61,82,87,96,143,165,192,211,226,273],"subsequently":[15],"have":[16,38],"a":[17,135,146,150,157,167,245],"greater":[18],"impact":[19,229],"on":[20,189],"its":[21,190,201],"profits.":[22],"Settling":[23],"claims":[24,60,182,187,231],"early,":[25],"detecting":[26],"fraudulent":[27],"claims,":[28],"increasing":[29],"customer":[30,33,63],"satisfaction":[31],"retention":[34],"through":[35],"recurring":[36],"business":[37,71,89,221,243,250],"become":[39],"increasingly":[40],"important.":[41],"The":[42],"key":[43,215],"gain":[45],"competitive":[46],"edge":[47],"is":[48,79,104,113,125],"ability":[50],"quickly":[52,142],"efficiently":[54],"explore":[55],"understand":[57],"data,":[58],"settle":[59],"enhance":[62],"experience.":[64],"Claims":[65],"processing,":[66],"for":[67,244],"line":[69],"in":[72,222],"(i.e.":[74],"auto,":[75],"life":[76,225],"or":[77,156,172,248,259],"health)":[78,227],"time":[80],"consuming":[81],"labor-intensive":[83],"involving":[84],"multiple":[85],"systems":[86],"several":[88],"units.":[90],"To":[91],"address":[92],"above":[94],"challenges":[95],"support":[97],"claim":[99,117,123,137,151,237],"handlers":[100],"decision,":[101],"information":[102],"that":[103,124,228],"available":[105],"during":[106,257],"first":[108],"notification":[109],"(FNOL)":[112],"used":[114],"predict":[116],"severity":[118,191],"using":[119],"predictive":[120],"analytics.":[121],"A":[122],"straight":[126],"forward":[127],"with":[128,264],"reliable":[129],"evidences":[130],"can":[131,139,160,184,251,260],"be":[132,140,161,268],"considered":[133,162,256],"as":[134,163],"simple":[136],"which":[138,152,266],"settled":[141],"dealt":[144],"by":[145],"junior":[147],"adjustor.":[148],"While":[149],"involves":[153,207],"accident,":[154],"death":[155],"police":[158],"case":[159],"complex":[164],"needs":[166],"team":[168,198],"senior":[170],"adjustors":[171],"lawyers":[173],"get":[175],"involved.":[176],"Using":[177],"prediction":[179],"model,":[180],"department":[183],"classify":[185],"based":[188],"assign":[193],"it":[194],"respective":[197],"thus":[199],"improving":[200],"operations.":[202],"Additionally":[203],"research":[205],"also":[206],"analysis":[208],"similarities":[210],"differences":[212],"between":[213],"attributes":[216],"across":[217,239],"three":[218],"lines":[219,241],"(auto,":[224],"severity.":[232],"By":[233],"further":[234,252],"studying":[235],"trends":[238],"these":[240],"particular":[246],"geography":[247],"demography,":[249],"refine":[253],"risks":[255],"underwriting":[258],"design":[261],"new":[262],"products":[263],"add-ons":[265],"will":[267],"beneficial":[269],"customers":[272],"contribute":[274],"increased":[276],"business.":[277]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-09-16T00:00:00"}