{"id":"https://openalex.org/W4409413640","doi":"https://doi.org/10.2147/clep.s504259","title":"Extracting Cognitive Impairment Assessment Information From Unstructured Notes in Electronic Health Records Using Natural Language Processing Tools: Validation with Clinical Assessment Data","display_name":"Extracting Cognitive Impairment Assessment Information From Unstructured Notes in Electronic Health Records Using Natural Language Processing Tools: Validation with Clinical Assessment Data","publication_year":2025,"publication_date":"2025-04-01","ids":{"openalex":"https://openalex.org/W4409413640","doi":"https://doi.org/10.2147/clep.s504259","pmid":"https://pubmed.ncbi.nlm.nih.gov/40260424","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/12009745"},"language":"en","primary_location":{"id":"doi:10.2147/clep.s504259","doi":"https://doi.org/10.2147/clep.s504259","is_oa":true,"landing_page_url":"https://doi.org/10.2147/clep.s504259","pdf_url":"https://www.dovepress.com/article/download/102102","source":{"id":"https://openalex.org/S2736481244","display_name":"Clinical Epidemiology","issn_l":"1179-1349","issn":["1179-1349"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","doyens","jufo-3","ki-jl-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320348","host_organization_name":"Dove Medical Press","host_organization_lineage":["https://openalex.org/P4310320348","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Dove Medical Press","Taylor & Francis"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Clinical Epidemiology","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W4409413640"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.dovepress.com/article/download/102102","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080611717","display_name":"Kuan\u2010Yuan Wang","orcid":"https://orcid.org/0000-0002-5004-2159","observed_orcids":["https://orcid.org/0000-0002-5004-2159"]},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]},{"id":"https://openalex.org/I4210123879","display_name":"Hebrew SeniorLife","ror":"https://ror.org/02vptss42","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210123879"]},{"id":"https://openalex.org/I4210158999","display_name":"National Cheng Kung University Hospital","ror":"https://ror.org/04zx3rq17","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210158999"]},{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Kuan-Yuan Wang","raw_affiliation_strings":["Beth Israel Deaconess Medical Center, Boston, MA, USA","Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA","National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beth Israel Deaconess Medical Center, Boston, MA, USA","institution_ids":["https://openalex.org/I1316535847"]},{"raw_affiliation_string":"Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA","institution_ids":["https://openalex.org/I4210123879"]},{"raw_affiliation_string":"National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I4210158999","https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089109829","display_name":"Mufaddal Mahesri","orcid":"https://orcid.org/0000-0002-6684-2337","observed_orcids":["https://orcid.org/0000-0002-6684-2337"]},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I121934306","https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mufaddal Mahesri","raw_affiliation_strings":["Brigham and Women's Hospital, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-6684-2337","affiliations":[{"raw_affiliation_string":"Brigham and Women's Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032254374","display_name":"John Novoa-Laurentiev","orcid":"https://orcid.org/0000-0001-9418-424X","observed_orcids":["https://orcid.org/0000-0001-9418-424X"]},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I121934306","https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Novoa-Laurentiev","raw_affiliation_strings":["Brigham and Women's Hospital, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women's Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030822229","display_name":"Lily Gui Bessette","orcid":"https://orcid.org/0000-0003-1088-8579","observed_orcids":["https://orcid.org/0000-0003-1088-8579"]},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I121934306","https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lily Bessette","raw_affiliation_strings":["Brigham and Women's Hospital, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1088-8579","affiliations":[{"raw_affiliation_string":"Brigham and Women's Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003760323","display_name":"Cassandra York","orcid":"https://orcid.org/0000-0001-5940-0744","observed_orcids":["https://orcid.org/0000-0001-5940-0744"]},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I121934306","https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cassandra York","raw_affiliation_strings":["Brigham and Women's Hospital, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-5940-0744","affiliations":[{"raw_affiliation_string":"Brigham and Women's Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047891240","display_name":"Heidi Zakoul","orcid":"https://orcid.org/0009-0008-3022-9013","observed_orcids":["https://orcid.org/0009-0008-3022-9013"]},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I121934306","https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heidi Zakoul","raw_affiliation_strings":["Brigham and Women's Hospital, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women's Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076326260","display_name":"Su Been Lee","orcid":"https://orcid.org/0000-0002-3437-097X","observed_orcids":["https://orcid.org/0000-0002-3437-097X"]},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I121934306","https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Su Been Lee","raw_affiliation_strings":["Brigham and Women's Hospital, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women's Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104345015","display_name":"Kerry Ngan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I121934306","https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kerry Ngan","raw_affiliation_strings":["Brigham and Women's Hospital, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women's Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li Zhou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I121934306","https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Zhou","raw_affiliation_strings":["Brigham and Women's Hospital, Boston, MA, USA","Harvard Medical School, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women's Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023135047","display_name":"Dae Hyun Kim","orcid":"https://orcid.org/0000-0001-7290-6838","observed_orcids":["https://orcid.org/0000-0001-7290-6838","https://orcid.org/0000-0003-4315-9145"]},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210123879","display_name":"Hebrew SeniorLife","ror":"https://ror.org/02vptss42","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210123879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dae Hyun Kim","raw_affiliation_strings":["Beth Israel Deaconess Medical Center, Boston, MA, USA","Harvard Medical School, Boston, MA, USA","Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7290-6838","affiliations":[{"raw_affiliation_string":"Beth Israel Deaconess Medical Center, Boston, MA, USA","institution_ids":["https://openalex.org/I1316535847"]},{"raw_affiliation_string":"Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA","institution_ids":["https://openalex.org/I4210123879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043922891","display_name":"Kueiyu Joshua Lin","orcid":"https://orcid.org/0000-0003-4564-3715","observed_orcids":["https://orcid.org/0000-0003-4564-3715"]},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I121934306","https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kueiyu Joshua Lin","raw_affiliation_strings":["Brigham and Women's Hospital, Boston, MA, USA","Harvard Medical School, Boston, MA, USA","Massachusetts General Hospital, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women's Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Massachusetts General Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I4210087915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5043922891"],"corresponding_institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984","https://openalex.org/I4210087915"],"apc_list":{"value":2836,"currency":"USD","value_usd":2836},"apc_paid":{"value":2836,"currency":"USD","value_usd":2836},"fwci":1.2231,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79852341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"Volume 17","issue":null,"first_page":"353","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.3610999882221222,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.3610999882221222,"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.18359999358654022,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T12790","display_name":"Nursing Diagnosis and Documentation","score":0.10930000245571136,"subfield":{"id":"https://openalex.org/subfields/2922","display_name":"Research and Theory"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-impairment","display_name":"cognitive impairment","score":0.8149999976158142},{"id":"https://openalex.org/keywords/unstructured-clinical-notes","display_name":"unstructured clinical notes","score":0.777999997138977},{"id":"https://openalex.org/keywords/electronic-health-records","display_name":"electronic health records","score":0.9520000219345093},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"natural language processing","score":0.9079999923706055},{"id":"https://openalex.org/keywords/montreal-cognitive-assessment","display_name":"Montreal Cognitive Assessment","score":0.9729999899864197},{"id":"https://openalex.org/keywords/mini-mental-state-examination","display_name":"Mini-Mental State Examination","score":1.0},{"id":"https://openalex.org/keywords/minimum-data-set","display_name":"Minimum Data Set","score":0.8939999938011169},{"id":"https://openalex.org/keywords/outcome-and-assessment-information-set","display_name":"Outcome and Assessment Information Set","score":0.9390000104904175},{"id":"https://openalex.org/keywords/nursing-homes","display_name":"nursing homes","score":0.8560000061988831},{"id":"https://openalex.org/keywords/home-health-visits","display_name":"home health visits","score":0.9079999923706055},{"id":"https://openalex.org/keywords/medicare-beneficiaries","display_name":"Medicare beneficiaries","score":0.8529999852180481},{"id":"https://openalex.org/keywords/cognitive-assessment","display_name":"cognitive assessment","score":0.3779999911785126},{"id":"https://openalex.org/keywords/older-adults","display_name":"older adults","score":0.5690000057220459},{"id":"https://openalex.org/keywords/dementia-screening","display_name":"dementia screening","score":0.4300000071525574}],"concepts":[{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.660172164440155},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5854967832565308},{"id":"https://openalex.org/C2984915365","wikidata":"https://www.wikidata.org/wiki/Q5141203","display_name":"Cognitive impairment","level":3,"score":0.548285186290741},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5037917494773865},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.4994940757751465},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4489266276359558},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.4405834972858429},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4095943570137024},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3969741463661194},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3626660704612732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34473031759262085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3375388979911804},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.164541095495224},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.13365772366523743},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.09426113963127136},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.2147/clep.s504259","doi":"https://doi.org/10.2147/clep.s504259","is_oa":true,"landing_page_url":"https://doi.org/10.2147/clep.s504259","pdf_url":"https://www.dovepress.com/article/download/102102","source":{"id":"https://openalex.org/S2736481244","display_name":"Clinical Epidemiology","issn_l":"1179-1349","issn":["1179-1349"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","doyens","jufo-3","ki-jl-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320348","host_organization_name":"Dove Medical Press","host_organization_lineage":["https://openalex.org/P4310320348","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Dove Medical Press","Taylor & Francis"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Clinical Epidemiology","raw_type":"journal-article"},{"id":"pmid:40260424","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40260424","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,"listed_in":[],"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":"Clinical epidemiology","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12009745","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12009745/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Clin Epidemiol","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:538bdbc0a7a44033badc560bb166c4b4","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/538bdbc0a7a44033badc560bb166c4b4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Clinical Epidemiology, Vol Volume 17, Pp 353-365 (2025)","raw_type":"article"},{"id":"pmh:oai:dovepress.com/102102","doi":null,"is_oa":true,"landing_page_url":"https://www.dovepress.com/extracting-cognitive-impairment-assessment-information-from-unstructur-peer-reviewed-fulltext-article-CLEP","pdf_url":null,"source":{"id":"https://openalex.org/S4306401012","display_name":"Dove Medical Press (Taylor and Francis Group)","issn_l":null,"issn":null,"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":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.2147/clep.s504259","doi":"https://doi.org/10.2147/clep.s504259","is_oa":true,"landing_page_url":"https://doi.org/10.2147/clep.s504259","pdf_url":"https://www.dovepress.com/article/download/102102","source":{"id":"https://openalex.org/S2736481244","display_name":"Clinical Epidemiology","issn_l":"1179-1349","issn":["1179-1349"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","doyens","jufo-3","ki-jl-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320348","host_organization_name":"Dove Medical Press","host_organization_lineage":["https://openalex.org/P4310320348","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Dove Medical Press","Taylor & Francis"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Clinical Epidemiology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9537000060081482,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1884552610","display_name":"Developing scalable algorithms to incorporate unstructured electronic health records for causal inference based on real-world data","funder_award_id":"R01LM013204","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G9000881648","display_name":"Deprescribing antipsychotics in patients with Alzheimers disease and related dementias and behavioral disturbance in skilled nursing facilities","funder_award_id":"R01AG081268","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409413640.pdf","grobid_xml":"https://content.openalex.org/works/W4409413640.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1511970718","https://openalex.org/W1527557040","https://openalex.org/W1704947773","https://openalex.org/W1847168837","https://openalex.org/W1970767847","https://openalex.org/W1990831939","https://openalex.org/W2046326055","https://openalex.org/W2060171994","https://openalex.org/W2088027173","https://openalex.org/W2114921880","https://openalex.org/W2126049444","https://openalex.org/W2129700906","https://openalex.org/W2158610859","https://openalex.org/W2165758561","https://openalex.org/W2277613887","https://openalex.org/W2772809601","https://openalex.org/W2793736115","https://openalex.org/W2809705582","https://openalex.org/W2894204771","https://openalex.org/W2941523569","https://openalex.org/W3008919234","https://openalex.org/W3015522432","https://openalex.org/W3133810340","https://openalex.org/W3178971054","https://openalex.org/W3182655775","https://openalex.org/W4220825176","https://openalex.org/W4288988820","https://openalex.org/W4312058793","https://openalex.org/W4317750115","https://openalex.org/W4319985906","https://openalex.org/W4324309277","https://openalex.org/W4396560090","https://openalex.org/W4401169262","https://openalex.org/W4402764048"],"related_works":["https://openalex.org/W4213292529","https://openalex.org/W4404203830","https://openalex.org/W4390193436","https://openalex.org/W7118094156","https://openalex.org/W4288988820","https://openalex.org/W4312058793","https://openalex.org/W4283156097","https://openalex.org/W4408079266","https://openalex.org/W4312086094","https://openalex.org/W4406051165"],"abstract_inverted_index":{"Purpose:":[0],"We":[1,48,89,258],"aimed":[2],"to":[3,11,71,87,94,263],"develop":[4],"a":[5,50,167],"Natural":[6],"Language":[7],"Processing":[8],"(NLP)":[9],"algorithm":[10,181,262],"extract":[12,265],"cognitive":[13,25,183,266,274,297],"scores":[14,107,120,185,267,275],"from":[15,74,85,108,121,268],"electronic":[16],"health":[17,43],"records":[18],"(EHR)":[19],"data":[20,73],"and":[21,41,46,65,101,142,174,194,217,239,249,271],"compare":[22],"them":[23],"with":[24,166,186,279,293],"function":[26,281],"recorded":[27,282],"by":[28,132,136],"Centers":[29],"for":[30,192,200],"Medicare":[31,53],"&":[32],"Medicaid":[33],"Services":[34],"(CMS)-mandated":[35],"clinical":[36,285],"assessments":[37],"in":[38,112,207,221,236,283,299],"nursing":[39],"homes":[40],"home":[42],"visits.":[44],"Patients":[45],"Methods:":[47],"identified":[49],"cohort":[51,154],"of":[52,127,170,296],"beneficiaries":[54],"who":[55,158],"had":[56,155,159],"either":[57],"the":[58,75,96,102,115,179,204,218,233],"Minimum":[59],"Data":[60,78],"Set":[61,68],"(MDS)":[62],"or":[63,118,130,162],"Outcome":[64],"Assessment":[66,99],"Information":[67],"(OASIS)":[69],"linked":[70],"EHR":[72],"Research":[76],"Patient":[77],"Registry":[79],"(Mass":[80],"General":[81],"Brigham,":[82],"Boston,":[83],"MA)":[84],"2010":[86],"2019.":[88],"applied":[90],"an":[91,260],"NLP":[92,180,261],"approach":[93],"identify":[95,291],"Montreal":[97],"Cognitive":[98],"(MoCA)":[100],"Mini-Mental":[103],"State":[104],"Examination":[105],"(MMSE)":[106],"unstructured":[109,269],"clinician":[110],"notes":[111],"EHR.":[113],"Using":[114],"NLP-extracted":[116],"MoCA":[117,129,193,209,238],"MMSE":[119,131,223,241],"EHR,":[122,178,270],"we":[123],"compared":[124],"mean":[125,168,205,219,234],"differences":[126],"extracted":[128,182,208,222,237,240,273],"cognition":[133,280],"status":[134],"determined":[135],"MDS":[137,160],"(impaired":[138],"vs":[139,146],"intact":[140,147],"cognition)":[141,148],"OASIS":[143,163],"(severe":[144],"impairment":[145,298],"data,":[149],"respectively.":[150,256],"Results:":[151],"Our":[152],"study":[153],"7419":[156],"patients":[157,292],"(19.7%)":[161],"(80.3%)":[164],"assessments,":[165],"age":[169],"80":[171],"(SD=7)":[172],"years":[173],"60%":[175],"female.":[176],"In":[177,202,231],"test":[184],"97%":[187],"accuracy":[188,196],"(95%":[189,197,212,226,244,251],"CI:":[190,198,213,227,245,252],"92-99%)":[191],"100%":[195],"84-100%)":[199],"MMSE.":[201],"MDS,":[203],"difference":[206,220,235],"was":[210,224,242],"-5.6":[211],"-8.7,":[214],"-2.4,":[215],"p=0.0008),":[216],"-7.9":[225],"-12.4,":[228],"-3.5,":[229],"p=0.0012).":[230],"OASIS,":[232],"-4.8":[243],"-9.1,":[246],"-0.6,":[247],"p=0.0006)":[248],"-4.5":[250],"-9.5,":[253],"-0.5,":[254],"p=0.0182),":[255],"Conclusion:":[257],"developed":[259],"accurately":[264],"these":[272],"were":[276],"well":[277],"correlated":[278],"CMS-mandated":[284],"assessments.":[286],"This":[287],"could":[288],"help":[289],"researchers":[290],"various":[294],"degrees":[295],"EHR-based":[300],"research.":[301]},"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2025-04-14T00:00:00"}