{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:06Z","timestamp":1755219846687,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643686080"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:p>Native Hawaiian and Pacific Islander (NHPI) populations are often aggregated into broad racial categories, obscuring potential disparities. This study leverages an expanded race\/ethnicity lexicon and natural language processing (NLP) to identify documentation of NHPI subgroups to address gaps in electronic health records\u2019 (EHRs) recorded race. Results demonstrate the potential of NLP to classify NHPI documentation, disaggregate legacy categories, and improve health equity by incorporating more detailed subgroup data into standardized healthcare data sets.<\/jats:p>","DOI":"10.3233\/shti251031","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:38:44Z","timestamp":1754566724000},"source":"Crossref","is-referenced-by-count":0,"title":["Enhancing and Disaggregating Native Hawaiian and Pacific Islander (NHPI) Data Using Natural Language Processing and an Expanded Race\/Ethnicity Lexicon"],"prefix":"10.3233","author":[{"given":"Benjamin","family":"Viernes","sequence":"first","affiliation":[{"name":"Center for Pacific Islander Veteran Health. US Dept of VA. Honolulu, HI, USA"}]},{"given":"Qiwei","family":"Gan","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, University of Utah Medical School, SLC, UT, USA"}]},{"given":"Elizabeth E.","family":"Hanchrow","sequence":"additional","affiliation":[]},{"given":"Mengke","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, University of Utah Medical School, SLC, UT, USA"}]},{"given":"Gregorio","family":"Coronado","sequence":"additional","affiliation":[{"name":"Center for Pacific Islander Veteran Health. US Dept of VA. Honolulu, HI, USA"}]},{"given":"Scott L.","family":"DuVall","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, University of Utah Medical School, SLC, UT, USA"}]},{"given":"Kalani","family":"Raphael","sequence":"additional","affiliation":[{"name":"Center for Pacific Islander Veteran Health. US Dept of VA. Honolulu, HI, USA"}]},{"given":"Patrick R.","family":"Alba","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, University of Utah Medical School, SLC, UT, USA"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI251031","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:38:44Z","timestamp":1754566724000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251031"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251031","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}