{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:00Z","timestamp":1755219840723,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686080","type":"electronic"}],"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>This study examines the effectiveness of AI competency assessments in predicting early turnover among newly hired nurses in a South Korean hospital. Data from 156 nurses showed that higher scores in self-reflection, honesty, and alignment with organizational values were linked to longer retention. In contrast, high scores in behavioral response and relationship motivation were associated with early resignation. These findings suggest that AI tools can help healthcare organizations refine recruitment by identifying personality traits linked to retention, ultimately supporting workforce stability and patient care quality.<\/jats:p>","DOI":"10.3233\/shti251274","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:46:51Z","timestamp":1754567211000},"source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of AI-Based Competency Assessment as a Predictor of Early Turnover in New Nurses"],"prefix":"10.3233","author":[{"given":"Hyoung Ran","family":"Park","sequence":"first","affiliation":[{"name":"Konkuk University Hospital, Seoul, Korea"},{"name":"Konkuk University, Department of Nursing, Chungju, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Young Hye","family":"Song","sequence":"additional","affiliation":[{"name":"Konkuk University Hospital, Seoul, Korea"},{"name":"Konkuk University, Department of Nursing, Chungju, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mi Ran","family":"Kim","sequence":"additional","affiliation":[{"name":"Konkuk University Hospital, Seoul, Korea"},{"name":"Konkuk University, Department of Nursing, Chungju, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7060-3873","authenticated-orcid":false,"given":"Hyeongju","family":"Ryu","sequence":"additional","affiliation":[{"name":"Konkuk University, Department of Nursing, Chungju, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2130-1561","authenticated-orcid":false,"given":"Tae Kyu","family":"An","sequence":"additional","affiliation":[{"name":"Korea national university of transportation, Department of polymer science and engineering, Chungju, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"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\/SHTI251274","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:46:51Z","timestamp":1754567211000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251274"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251274","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}