{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,17]],"date-time":"2025-05-17T04:04:28Z","timestamp":1747454668453,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685960","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"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":[[2025,5,15]]},"abstract":"<jats:p>The aim of this study is to convert nursing statements into the OMOP CDM for use in observational studies. We mapped nursing statements to SNOMED CT concepts and converted them into the OMOP CDM format through an ETL process. As a result, approximately 200 million nursing statements were loaded into the CDM\u2019s OBSERVATION, PROCEDURE_OCCURRENCE, and MEASUREMENT tables.<\/jats:p>","DOI":"10.3233\/shti250417","type":"book-chapter","created":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:56:22Z","timestamp":1747385782000},"source":"Crossref","is-referenced-by-count":0,"title":["Conversion of Nursing Statements into the OMOP Common Data Model"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8346-9343","authenticated-orcid":false,"given":"Hyesil","family":"Jung","sequence":"first","affiliation":[{"name":"School of Nursing, Inha University, Incheon, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4996-8613","authenticated-orcid":false,"given":"Seok","family":"Kim","sequence":"additional","affiliation":[{"name":"Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8620-4925","authenticated-orcid":false,"given":"Sooyoung","family":"Yoo","sequence":"additional","affiliation":[{"name":"Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Intelligent Health Systems \u2013 From Technology to Data and Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250417","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:56:23Z","timestamp":1747385783000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250417"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"ISBN":["9781643685960"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250417","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]}}}