{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:27:13Z","timestamp":1753885633559,"version":"3.41.2"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2024,3,27]],"date-time":"2024-03-27T00:00:00Z","timestamp":1711497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["eLearn"],"published-print":{"date-parts":[[2024,3,27]]},"abstract":"<jats:p>The clerkship phase in medical school is pivotal for clinical training. In response to the COVID-19 pandemic, the adoption and implementation of educational technology in medical education became inevitable, leading most medical schools to shift toward distance learning. While technologies cannot entirely replace hands-on clinical teaching, faculty members have devised effective ways to utilize technology, such as virtual patients, virtual reality, first-person video streaming, simulators, gamification, and mobile apps. This article provides a summary of the technologies employed, the challenges associated with them, and the advantages and instructional outcomes resulting from their use.<\/jats:p>","DOI":"10.1145\/3655031.3640470","type":"journal-article","created":{"date-parts":[[2024,3,27]],"date-time":"2024-03-27T22:05:12Z","timestamp":1711577112000},"update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Utilizing Advanced Technologies for eLearning in Clerkship"],"prefix":"10.1145","volume":"2024","author":[{"given":"Eulho","family":"Jung","sequence":"first","affiliation":[{"name":"Uniformed Services University of the Health Sciences"}]},{"given":"Anita","family":"Samuel","sequence":"additional","affiliation":[{"name":"Uniformed Services University of the Health Sciences"}]}],"member":"320","published-online":{"date-parts":[[2024,3,27]]},"container-title":["eLearn"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3655031.3640470","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:03:52Z","timestamp":1750291432000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3655031.3640470"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,27]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,3,27]]}},"alternative-id":["10.1145\/3655031.3640470"],"URL":"https:\/\/doi.org\/10.1145\/3655031.3640470","relation":{},"ISSN":["1535-394X"],"issn-type":[{"type":"electronic","value":"1535-394X"}],"subject":[],"published":{"date-parts":[[2024,3,27]]},"assertion":[{"value":"2024-03-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"3655031.3640470"}}