{"id":"https://openalex.org/W2160555924","doi":"https://doi.org/10.1136/amiajnl-2013-002592","title":"Temporal trends of hemoglobin A1c testing","display_name":"Temporal trends of hemoglobin A1c testing","publication_year":2014,"publication_date":"2014-06-16","ids":{"openalex":"https://openalex.org/W2160555924","doi":"https://doi.org/10.1136/amiajnl-2013-002592","mag":"2160555924","pmid":"https://pubmed.ncbi.nlm.nih.gov/24928176"},"language":"en","primary_location":{"id":"doi:10.1136/amiajnl-2013-002592","is_oa":false,"landing_page_url":"https://doi.org/10.1136/amiajnl-2013-002592","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5108076252","display_name":"Rimma Pivovarov","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rimma Pivovarov","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070746797","display_name":"David J. Albers","orcid":"https://orcid.org/0000-0002-5369-526X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J Albers","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053670656","display_name":"George Hripcsak","orcid":"https://orcid.org/0000-0003-2664-7614"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Hripcsak","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009268016","display_name":"Jorge L. Sepulveda","orcid":"https://orcid.org/0000-0002-5577-9766"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jorge L Sepulveda","raw_affiliation_strings":["Department of Pathology & Cell Biology, Columbia University, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology & Cell Biology, Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047270546","display_name":"No\u00e9mie Elhadad","orcid":"https://orcid.org/0000-0001-9721-5240"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"No\u00e9mie Elhadad","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":2.2816,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.88487039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"6","first_page":"1038","last_page":"1044"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.5631999969482422,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.5631999969482422,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T11314","display_name":"Clinical Laboratory Practices and Quality Control","score":0.15850000083446503,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T11171","display_name":"Diabetes and associated disorders","score":0.03579999879002571,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.6086865067481995},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5945721864700317},{"id":"https://openalex.org/keywords/guideline","display_name":"Guideline","score":0.512150764465332},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.490090012550354},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.47342923283576965},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.434504896402359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2769564986228943},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2740461826324463},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.15913838148117065}],"concepts":[{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.6086865067481995},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5945721864700317},{"id":"https://openalex.org/C2780182762","wikidata":"https://www.wikidata.org/wiki/Q1630279","display_name":"Guideline","level":2,"score":0.512150764465332},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.490090012550354},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.47342923283576965},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.434504896402359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2769564986228943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2740461826324463},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.15913838148117065},{"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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000046","descriptor_name":"Academic Medical Centers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000046","descriptor_name":"Academic Medical Centers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000046","descriptor_name":"Academic Medical Centers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000046","descriptor_name":"Academic Medical Centers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001774","descriptor_name":"Blood Chemical Analysis","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D001774","descriptor_name":"Blood Chemical Analysis","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D001774","descriptor_name":"Blood Chemical Analysis","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D001774","descriptor_name":"Blood Chemical Analysis","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D001774","descriptor_name":"Blood Chemical Analysis","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D001774","descriptor_name":"Blood Chemical Analysis","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D001774","descriptor_name":"Blood Chemical Analysis","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D001774","descriptor_name":"Blood Chemical Analysis","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D006442","descriptor_name":"Glycated Hemoglobin","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D006442","descriptor_name":"Glycated Hemoglobin","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D006442","descriptor_name":"Glycated Hemoglobin","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D006442","descriptor_name":"Glycated Hemoglobin","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008137","descriptor_name":"Longitudinal Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008137","descriptor_name":"Longitudinal Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008137","descriptor_name":"Longitudinal Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008137","descriptor_name":"Longitudinal Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008485","descriptor_name":"Medical Audit","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008485","descriptor_name":"Medical Audit","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008485","descriptor_name":"Medical Audit","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008485","descriptor_name":"Medical Audit","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009519","descriptor_name":"New York City","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009519","descriptor_name":"New York City","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009519","descriptor_name":"New York City","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009519","descriptor_name":"New York City","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010346","descriptor_name":"Patient Care Management","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":false},{"descriptor_ui":"D010346","descriptor_name":"Patient Care Management","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":false},{"descriptor_ui":"D010346","descriptor_name":"Patient Care Management","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":false},{"descriptor_ui":"D010346","descriptor_name":"Patient Care Management","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017410","descriptor_name":"Practice Guidelines as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017410","descriptor_name":"Practice Guidelines as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017410","descriptor_name":"Practice Guidelines as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017410","descriptor_name":"Practice Guidelines as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019564","descriptor_name":"Unnecessary Procedures","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D019564","descriptor_name":"Unnecessary Procedures","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D019564","descriptor_name":"Unnecessary Procedures","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D019564","descriptor_name":"Unnecessary Procedures","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D019564","descriptor_name":"Unnecessary Procedures","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D019564","descriptor_name":"Unnecessary Procedures","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D019564","descriptor_name":"Unnecessary Procedures","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D019564","descriptor_name":"Unnecessary Procedures","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D019982","descriptor_name":"Organizational Case Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019982","descriptor_name":"Organizational Case Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019982","descriptor_name":"Organizational Case Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019982","descriptor_name":"Organizational Case Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019983","descriptor_name":"Guideline Adherence","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D019983","descriptor_name":"Guideline Adherence","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D019983","descriptor_name":"Guideline Adherence","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D019983","descriptor_name":"Guideline Adherence","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1136/amiajnl-2013-002592","is_oa":false,"landing_page_url":"https://doi.org/10.1136/amiajnl-2013-002592","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:24928176","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24928176","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:europepmc.org:3598984","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4215045","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G2449404732","display_name":null,"funder_award_id":"R01 LM010027","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G5403419883","display_name":null,"funder_award_id":"R01 LM06910","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G6541979941","display_name":null,"funder_award_id":"LM06910","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G6638737625","display_name":null,"funder_award_id":"R01 LM006910","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G8756038820","display_name":"IGERT: From Data to Solutions:  A New PhD Program in Transformational Data & Information Sciences Research and Innovation","funder_award_id":"1144854","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1967154872","https://openalex.org/W1985327089","https://openalex.org/W1992231987","https://openalex.org/W2005512890","https://openalex.org/W2052902126","https://openalex.org/W2057002261","https://openalex.org/W2072750629","https://openalex.org/W2073762434","https://openalex.org/W2085085931","https://openalex.org/W2091425245","https://openalex.org/W2096466744","https://openalex.org/W2098999835","https://openalex.org/W2113128844","https://openalex.org/W2135517124","https://openalex.org/W2138533265","https://openalex.org/W2140590390","https://openalex.org/W2151867385","https://openalex.org/W2152726215","https://openalex.org/W2161893186","https://openalex.org/W2166481425","https://openalex.org/W2170913028","https://openalex.org/W2185288869","https://openalex.org/W2405705560","https://openalex.org/W2510708214","https://openalex.org/W2520432709","https://openalex.org/W2616009730","https://openalex.org/W4234147305","https://openalex.org/W4241883936","https://openalex.org/W4295849207","https://openalex.org/W4300554878"],"related_works":["https://openalex.org/W2339422290","https://openalex.org/W2397653702","https://openalex.org/W4233871529","https://openalex.org/W2338818750","https://openalex.org/W2365451219","https://openalex.org/W2415869793","https://openalex.org/W4211072166","https://openalex.org/W28723353","https://openalex.org/W4231104876","https://openalex.org/W2441306059"],"abstract_inverted_index":{"OBJECTIVE:":[0],"The":[1,123,178],"study":[2],"of":[3,10,25,60,67,75,96,109,126,175,209,229,249],"utilization":[4],"patterns":[5,66,95],"can":[6],"quantify":[7,42],"potential":[8],"overuse":[9],"laboratory":[11,34,222],"tests":[12,218],"and":[13,41,57,71,114,169,204,216,245],"find":[14],"new":[15,173],"ways":[16],"to":[17,39,88,107],"reduce":[18],"healthcare":[19],"costs.":[20],"We":[21,47,63,85,225],"demonstrate":[22],"the":[23,65,73,76,94,103,120,150,162,167,184,247],"use":[24,251],"distributional":[26],"analytics":[27],"for":[28,82,187,243],"comparing":[29,156,230],"electronic":[30],"health":[31],"record":[32],"(EHR)":[33],"test":[35,202],"orders":[36,101],"across":[37,54,236],"time":[38,237],"diagnose":[40],"overutilization.":[43],"MATERIALS":[44],"AND":[45],"METHODS:":[46],"looked":[48],"at":[49],"hemoglobin":[50],"A1c":[51],"(HbA1c)":[52],"testing":[53],"119,000":[55],"patients":[56],"15":[58],"years":[59],"hospital":[61],"records.":[62],"examined":[64],"HbA1c":[68,83,97,100,127,195,201],"ordering":[69,147,157,231],"before":[70],"after":[72],"publication":[74],"2002":[77,151],"American":[78],"Diabetes":[79],"Association":[80],"guidelines":[81,104,168,186],"testing.":[84,177],"conducted":[86],"analyses":[87],"answer":[89],"three":[90],"questions.":[91],"What":[92],"are":[93],"ordering?":[98],"Do":[99],"follow":[102,183],"with":[105,134],"respect":[106],"frequency":[108],"measurement?":[110],"If":[111],"not,":[112],"how":[113],"why":[115],"do":[116,164],"they":[117],"depart":[118],"from":[119],"guidelines?":[121],"RESULTS:":[122],"raw":[124],"number":[125],"orderings":[128,140],"has":[129],"steadily":[130],"increased":[131],"over":[132,252],"time,":[133],"a":[135,144,172,193,227,239],"specific":[136],"increase":[137],"in":[138,146,233],"low-measurement":[139],"(<6.5%).":[141],"There":[142],"is":[143],"change":[145],"pattern":[148],"following":[149],"guideline":[152],"(p<0.001).":[153],"However,":[154],"by":[155,192,220],"distributions,":[158],"we":[159],"found":[160],"that":[161],"changes":[163],"not":[165,182],"reflect":[166],"rather":[170],"exhibit":[171],"practice":[174],"rapid-repeat":[176],"rapid-retesting":[179],"phenomenon":[180],"does":[181],"2009":[185],"diabetes":[188],"diagnosis":[189],"either,":[190],"illustrated":[191],"stratified":[194],"value":[196],"analysis.":[197],"DISCUSSION:":[198],"Results":[199],"suggest":[200],"overutilization,":[203],"contributing":[205],"factors":[206],"include":[207],"lack":[208],"care":[210],"coordination,":[211],"unexpected":[212],"values":[213],"prompting":[214],"retesting,":[215],"point-of-care":[217],"followed":[219],"confirmatory":[221],"tests.":[223],"CONCLUSIONS:":[224],"present":[226],"method":[228],"distributions":[232],"an":[234],"EHR":[235],"as":[238],"useful":[240],"diagnostic":[241],"approach":[242],"identifying":[244],"assessing":[246],"trend":[248],"inappropriate":[250],"time.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
