PDF(Pubmed)
Abstract：
Online medical education often faces challenges related to communication and comprehension barriers, particularly when the instructional language differs from the healthcare providers\' and caregivers\' native languages. Our study addresses these challenges within pediatric healthcare by employing generative language models to produce a linguistically tailored, multilingual curriculum that covers the topics of team training, surgical procedures, perioperative care, patient journeys, and educational resources for healthcare providers and caregivers.
An interdisciplinary group formulated a video curriculum in English, addressing the nuanced challenges of pediatric healthcare. Subsequently, it was translated into Spanish, primarily emphasizing Latin American demographics, utilizing OpenAI\'s GPT-4. Videos were enriched with synthetic voice profiles of native speakers to uphold the consistency of the narrative.
We created a collection of 45 multilingual video modules, each ranging from 3 to 8 min in length and covering essential topics such as teamwork, how to improve interpersonal communication, \"How I Do It\" surgical procedures, as well as focused topics in anesthesia, intensive care unit care, ward nursing, and transitions from hospital to home. Through AI-driven translation, this comprehensive collection ensures global accessibility and offers healthcare professionals and caregivers a linguistically inclusive resource for elevating standards of pediatric care worldwide.
This development of multilingual educational content marks a progressive step toward global standardization of pediatric care. By utilizing advanced language models for translation, we ensure that the curriculum is inclusive and accessible. This initiative aligns well with the World Health Organization\'s Digital Health Guidelines, advocating for digitally enabled healthcare education.
An interdisciplinary group formulated a video curriculum in English, addressing the nuanced challenges of pediatric healthcare. Subsequently, it was translated into Spanish, primarily emphasizing Latin American demographics, utilizing OpenAI\'s GPT-4. Videos were enriched with synthetic voice profiles of native speakers to uphold the consistency of the narrative.
We created a collection of 45 multilingual video modules, each ranging from 3 to 8 min in length and covering essential topics such as teamwork, how to improve interpersonal communication, \"How I Do It\" surgical procedures, as well as focused topics in anesthesia, intensive care unit care, ward nursing, and transitions from hospital to home. Through AI-driven translation, this comprehensive collection ensures global accessibility and offers healthcare professionals and caregivers a linguistically inclusive resource for elevating standards of pediatric care worldwide.
This development of multilingual educational content marks a progressive step toward global standardization of pediatric care. By utilizing advanced language models for translation, we ensure that the curriculum is inclusive and accessible. This initiative aligns well with the World Health Organization\'s Digital Health Guidelines, advocating for digitally enabled healthcare education.
摘要：
■在线医学教育经常面临与沟通和理解障碍相关的挑战，特别是当教学语言不同于医疗保健提供者和护理人员的母语时。我们的研究解决了儿科医疗保健中的这些挑战，采用生成语言模型来产生一个语言定制，涵盖团队培训主题的多语言课程，外科手术,围手术期护理,病人的旅程，以及医疗保健提供者和护理人员的教育资源。
■一个跨学科小组用英语制定了视频课程，解决儿科医疗保健的微妙挑战。随后，它被翻译成西班牙语，主要强调拉丁美洲的人口统计学，利用OpenAI的GPT-4。视频丰富了母语人士的合成语音配置文件，以维护叙事的一致性。
■我们创建了45个多语言视频模块的集合，每个长度从3到8分钟不等，涵盖团队合作等基本主题，如何改善人际沟通，“我该怎么做”外科手术，以及麻醉领域的焦点话题，重症监护病房,病房护理，从医院过渡到家庭。通过AI驱动的翻译，这个全面的集合确保了全球的可及性,并为医疗保健专业人员和护理人员提供了语言上的包容性资源,以提高全球儿科护理标准.
■多语言教育内容的发展标志着儿科护理朝着全球标准化迈出了一步。通过使用高级语言模型进行翻译，我们确保课程具有包容性和可及性。该计划与世界卫生组织的数字健康指南非常吻合，倡导数字化医疗教育。
■一个跨学科小组用英语制定了视频课程，解决儿科医疗保健的微妙挑战。随后，它被翻译成西班牙语，主要强调拉丁美洲的人口统计学，利用OpenAI的GPT-4。视频丰富了母语人士的合成语音配置文件，以维护叙事的一致性。
■我们创建了45个多语言视频模块的集合，每个长度从3到8分钟不等，涵盖团队合作等基本主题，如何改善人际沟通，“我该怎么做”外科手术，以及麻醉领域的焦点话题，重症监护病房,病房护理，从医院过渡到家庭。通过AI驱动的翻译，这个全面的集合确保了全球的可及性,并为医疗保健专业人员和护理人员提供了语言上的包容性资源,以提高全球儿科护理标准.
■多语言教育内容的发展标志着儿科护理朝着全球标准化迈出了一步。通过使用高级语言模型进行翻译，我们确保课程具有包容性和可及性。该计划与世界卫生组织的数字健康指南非常吻合，倡导数字化医疗教育。
