Isola Miriam, Krive Jacob
Department of Biomedical and Health Information Sciences, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.
JAMIA Open. 2022 Aug 27;5(3):ooac073. doi: 10.1093/jamiaopen/ooac073. eCollection 2022 Oct.
There is a growing need for innovation to prepare a well-trained health informatics workforce with data science and digital technology skills. To meet the workforce demands and prepare students for a career in health informatics, a Health Data Science (HDS) concentration was added to the Master's in Health Informatics (MSHI) program at the University of Illinois at Chicago.
Four levels of learning were incorporated into the curriculum to prepare students for highly complex jobs in health informatics. Leader interviews, advisory board meetings, and mixed faculty expertise were utilized as inputs to survey and analyze the skills employers seek in the job market. An innovative rapid infusion approach was used to design assessments across the levels of learning that simulate real-world scenarios where these competencies are used.
Course evaluation surveys revealed strong satisfaction with the quality of the course and agreed that the course was intellectually challenging and stimulating. Students reported the 3 most beneficial aspects were: the live lectures, hands-on data research and manipulation, and simulated real-world situations.
This article discusses using a rapid infusion approach to developing active learning assignments designed to build competencies employers are seeking. These competencies also develop creative, divergent thinking with flexible, student-defined solutions. Survey data validates the approach to active learning put into context and made relevant to the learner. The benefit of the concentration is to provide students with the preparation for a successful entry into the Health Informatics field, one of the fastest-growing careers in healthcare.
培养具备数据科学和数字技术技能的训练有素的健康信息学劳动力队伍，对创新的需求日益增长。为满足劳动力需求并使学生为从事健康信息学职业做好准备，伊利诺伊大学芝加哥分校的健康信息学硕士（MSHI）项目中增加了健康数据科学（HDS）方向。
课程中纳入了四个学习层次，以使学生为从事健康信息学领域高度复杂的工作做好准备。通过领导者访谈、咨询委员会会议以及混合教师专业知识，作为调查和分析雇主在就业市场所寻求技能的依据。采用一种创新的快速融入方法来设计贯穿各学习层次的评估，这些评估模拟了运用这些能力的真实场景。
课程评估调查显示，学生对课程质量非常满意，并一致认为该课程在智力上具有挑战性且能激发兴趣。学生报告称最有益的三个方面是：现场讲座、实际数据研究与操作以及模拟真实世界的情况。
本文讨论了使用快速融入方法来开发主动学习作业，旨在培养雇主所寻求的能力。这些能力还能培养具有创造性、发散性思维以及灵活的、学生自主定义的解决方案。调查数据验证了这种主动学习方法在实际情境中的有效性，并使其与学习者相关。该方向的益处在于为学生成功进入健康信息学领域做好准备，这是医疗保健领域发展最快的职业之一。
