{"id":"https://openalex.org/W2089529115","doi":"https://doi.org/10.1145/2783258.2788588","title":"Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records","display_name":"Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records","publication_year":2015,"publication_date":"2015-08-07","ids":{"openalex":"https://openalex.org/W2089529115","doi":"https://doi.org/10.1145/2783258.2788588","mag":"2089529115"},"language":"en","primary_location":{"id":"doi:10.1145/2783258.2788588","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2788588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","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/A5007288601","display_name":"Sriram Somanchi","orcid":"https://orcid.org/0000-0002-3153-1248"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sriram Somanchi","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012621096","display_name":"Samrachana Adhikari","orcid":"https://orcid.org/0000-0001-9954-5999"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samrachana Adhikari","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068692716","display_name":"Allen C. Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allen Lin","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029422962","display_name":"Elena Eneva","orcid":null},"institutions":[{"id":"https://openalex.org/I1310439424","display_name":"Accenture (Switzerland)","ror":"https://ror.org/041r3e346","country_code":"CH","type":"company","lineage":["https://openalex.org/I1310439424","https://openalex.org/I4210093804"]},{"id":"https://openalex.org/I4210099672","display_name":"Accenture (United States)","ror":"https://ror.org/013g16z83","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093804","https://openalex.org/I4210099672"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Elena Eneva","raw_affiliation_strings":["Accenture, San Francisco, CA, USA","[Accenture San Francisco, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Accenture, San Francisco, CA, USA","institution_ids":["https://openalex.org/I4210099672"]},{"raw_affiliation_string":"[Accenture San Francisco, CA, USA]","institution_ids":["https://openalex.org/I1310439424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081839926","display_name":"Rayid Ghani","orcid":"https://orcid.org/0000-0003-0235-1843"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rayid Ghani","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA","University of Chicago , Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Chicago , Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007288601"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":4.6057,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.94910673,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2119","last_page":"2126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9901000261306763,"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/mews","display_name":"Mews","score":0.8548723459243774},{"id":"https://openalex.org/keywords/early-warning-score","display_name":"Early warning score","score":0.6968146562576294},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.6251921057701111},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6243321895599365},{"id":"https://openalex.org/keywords/cardiopulmonary-resuscitation","display_name":"Cardiopulmonary resuscitation","score":0.5531507730484009},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5349598526954651},{"id":"https://openalex.org/keywords/electronic-medical-record","display_name":"Electronic medical record","score":0.5248820185661316},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.516797661781311},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.49584731459617615},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.4618479311466217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45214635133743286},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.34032243490219116},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3315797448158264},{"id":"https://openalex.org/keywords/resuscitation","display_name":"Resuscitation","score":0.32754796743392944},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.17982995510101318},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.09031468629837036},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08847901225090027}],"concepts":[{"id":"https://openalex.org/C2778358025","wikidata":"https://www.wikidata.org/wiki/Q4309761","display_name":"Mews","level":3,"score":0.8548723459243774},{"id":"https://openalex.org/C2777671062","wikidata":"https://www.wikidata.org/wiki/Q6889402","display_name":"Early warning score","level":2,"score":0.6968146562576294},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.6251921057701111},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6243321895599365},{"id":"https://openalex.org/C2777055891","wikidata":"https://www.wikidata.org/wiki/Q185325","display_name":"Cardiopulmonary resuscitation","level":3,"score":0.5531507730484009},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5349598526954651},{"id":"https://openalex.org/C3018060332","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic medical record","level":2,"score":0.5248820185661316},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.516797661781311},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.49584731459617615},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.4618479311466217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45214635133743286},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.34032243490219116},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3315797448158264},{"id":"https://openalex.org/C2778165595","wikidata":"https://www.wikidata.org/wiki/Q5491454","display_name":"Resuscitation","level":2,"score":0.32754796743392944},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.17982995510101318},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.09031468629837036},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08847901225090027},{"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2783258.2788588","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2788588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.ust.hk:1783.1-99961","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-99961","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1539018624","https://openalex.org/W1965237134","https://openalex.org/W1981933955","https://openalex.org/W2063646365","https://openalex.org/W2101199071","https://openalex.org/W2135046866","https://openalex.org/W2150577673","https://openalex.org/W2169167455","https://openalex.org/W2265226819","https://openalex.org/W2483430316"],"related_works":["https://openalex.org/W2354695919","https://openalex.org/W3096994278","https://openalex.org/W3173253237","https://openalex.org/W3031431598","https://openalex.org/W2133236766","https://openalex.org/W2363232914","https://openalex.org/W2370187001","https://openalex.org/W2133444848","https://openalex.org/W2770006511","https://openalex.org/W3029457713"],"abstract_inverted_index":{"Code":[0,22,142],"Blue":[1,23,143],"is":[2,24,35,48,144,176],"an":[3,26,49],"emergency":[4],"code":[5],"used":[6,156],"in":[7,39,101,131,182],"hospitals":[8,158],"to":[9,40,42,114],"indicate":[10],"when":[11,147],"a":[12],"patient":[13],"goes":[14],"into":[15,83,116],"cardiac":[16,84,117],"arrest":[17,85],"and":[18,33,37,52,55,90,128,146],"needs":[19],"resuscitation.":[20],"When":[21],"called,":[25],"on-call":[27],"medical":[28,134],"team":[29],"staffed":[30],"by":[31,157],"physicians":[32],"nurses":[34],"paged":[36],"rushes":[38],"try":[41],"save":[43],"the":[44,57,152],"patient's":[45],"life.":[46],"It":[47],"intense,":[50],"chaotic,":[51],"resource-intensive":[53],"process,":[54],"despite":[56],"considerable":[58],"effort,":[59],"survival":[60],"rates":[61],"are":[62,112],"still":[63],"less":[64],"than":[65],"20%":[66],"[4].":[67],"Research":[68],"indicates":[69],"that":[70,107,138],"patients":[71,110],"actually":[72],"start":[73],"showing":[74],"clinical":[75],"signs":[76],"of":[77,141,151],"deterioration":[78],"some":[79],"time":[80],"before":[81],"going":[82],"[1][2[][3],":[86],"making":[87],"early":[88,139],"prediction,":[89],"possibly":[91],"intervention,":[92],"feasible.":[93],"In":[94],"this":[95,174],"paper,":[96],"we":[97],"describe":[98],"our":[99,165],"work,":[100],"partnership":[102],"with":[103,149],"NorthShore":[104],"University":[105],"HealthSystem,":[106],"preemptively":[108],"flags":[109],"who":[111],"likely":[113],"go":[115],"arrest,":[118],"using":[119],"signals":[120],"extracted":[121],"from":[122],"demographic":[123],"information,":[124],"hospitalization":[125],"history,":[126],"vitals":[127],"laboratory":[129],"measurements":[130],"patient-level":[132],"electronic":[133],"records.":[135],"We":[136],"find":[137],"prediction":[140],"possible":[145],"compared":[148],"state":[150],"art":[153],"existing":[154],"method":[155],"(MEWS":[159],"-":[160],"Modified":[161],"Early":[162],"Warning":[163],"Score)[4],":[164],"methods":[166],"perform":[167],"significantly":[168],"better.":[169],"Based":[170],"on":[171],"these":[172],"results,":[173],"system":[175],"now":[177],"being":[178],"considered":[179],"for":[180],"deployment":[181],"hospital":[183],"settings.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}