{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:18Z","timestamp":1755219858443,"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>Whilst the evidence-base related to artificial intelligence (AI) has been growing in relation to its use and impact on healthcare, there is a lack of evidence related to the health workforce impact and no research examining the generational perceptions in relation to the health workforce and AI. This paper presents the results of a survey, which found generational differences in perceptions about the impact of AI on clinical jobs. Gen Z and Millennials were more likely to agree with statements that AI will improve their clinical decision-making skills\/abilities, accomplish clinical tasks more quickly, and cause unemployment in their professional occupation. Workforce planners need to account for generational differences when planning change management strategies related to AI.<\/jats:p>","DOI":"10.3233\/shti251080","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:40:22Z","timestamp":1754566822000},"source":"Crossref","is-referenced-by-count":0,"title":["Generational Health Professional Perceptions About Artificial Intelligence Impact on Clinical Work"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5982-160X","authenticated-orcid":false,"given":"Karima","family":"Lalani","sequence":"first","affiliation":[{"name":"Health Informatics and Health Information Management Programs, University of Washington School of Public Health, Seattle, Washington, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6082-2108","authenticated-orcid":false,"given":"Kerryn","family":"Butler-Henderson","sequence":"additional","affiliation":[{"name":"School of Nursing, Paramedicine, and Healthcare Sciences, Charles Sturt University, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6178-5345","authenticated-orcid":false,"given":"David T.","family":"Marc","sequence":"additional","affiliation":[{"name":"Department of Health Informatics and Information Management, The College of St. Scholastica, Duluth, Minnesota, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2943-311X","authenticated-orcid":false,"given":"Susan H.","family":"Fenton","sequence":"additional","affiliation":[{"name":"McWilliams School of Biomedical Informatics at UTHealth Houston, Houston, Texas, 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\/SHTI251080","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:40:23Z","timestamp":1754566823000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251080"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251080","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]]}}}