{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:15Z","timestamp":1755219855653,"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>The International Partnership for Health Informatics Education (IPHIE) fosters global collaboration in medical and health informatics education. The 2024 IPHIE Master Class united 20 graduate students and 9 faculty members to examine the use, perceptions, and impact of large language models (LLMs) in healthcare. Students designed, piloted, and analyzed a survey on LLM use by healthcare providers and patients, addressing its impacts. Despite challenges in coordination and time constraints, students developed leadership, problem-solving, and communication skills. 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