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Teaching Hands-On Informatics Skills to Future Health Informaticians: A Competency Framework Proposal and Analysis of Health Care Informatics Curricula

机译:向未来的健康信息管理员教授动手信息技能:一种能力框架提案和卫生保健信息学课程分析

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Background Existing health informatics curriculum requirements mostly use a competency-based approach rather than a skill-based one. Objective The main objective of this study was to assess the current skills training requirements in graduate health informatics curricula to evaluate graduate students’ confidence in specific health informatics skills. Methods A quantitative cross-sectional observational study was developed to evaluate published health informatics curriculum requirements and to determine the comprehensive health informatics skill sets required in a research university in New York, United States. In addition, a questionnaire to assess students’ confidence about specific health informatics skills was developed and sent to all enrolled and graduated Master of Science students in a health informatics program. Results The evaluation was performed in a graduate health informatics program, and analysis of the students’ self-assessments questionnaire showed that 79.4% (81/102) of participants were not confident (not at all confident or slightly confident) about developing an artificial intelligence app, 58.8% (60/102) were not confident about designing and developing databases, and 54.9% (56/102) were not confident about evaluating privacy and security infrastructure. Less than one-third of students (24/105, 23.5%) were confident (extremely confident and very confident) that they could evaluate the use of data capture technologies and develop mobile health informatics apps (10/102, 9.8%). Conclusions Health informatics programs should consider specialized tracks that include specific skills to meet the complex health care delivery and market demand, and specific training components should be defined for different specialties. There is a need to determine new competencies and skill sets that promote inductive and deductive reasoning from diverse and various data platforms and to develop a comprehensive curriculum framework for health informatics skills training.
机译:背景技术现有的健康信息学课程要求主要使用基于能力的方法而不是基于技能的方法。目的本研究的主要目标是评估研究生卫生信息学课程的当前技能培训要求,以评估研究生对特定卫生信息学技能的信心。方法制定了定量横截面观测研究,以评估发布的卫生信息学课程要求,并确定纽约,美国研究大学所需的综合卫生信息学技能。此外,制定了一个评估学生对特定健康信息学技能的对学生信心的调查问卷,并向所有在卫生信息学计划中注册和毕业的科学学生硕士学位。结果评估在毕业生卫生信息学计划中进行,对学生的自我评估问卷分析显示,79.4%(81/102)的参与者对发展人工智能的影响并不自信(并不自信地APP,58.8%(60/102)对设计和开发数据库没有信心,54.9%(56/102)对评估隐私和安全基础设施并不有信心。不到三分之一的学生(24/105,23.5%)是自信(极其自信,非常有信心的),他们可以评估使用数据捕获技术并开发移动健康信息学应用程序(10/102,9.8%)。结论卫生信息学计划应考虑包括特定技能的专业曲目,以满足复杂的医疗保健和市场需求,以及针对不同专业的特定培训组件。有必要确定新的能力和技能,促进各种数据平台的归纳和演绎推理,并为健康信息学技能培训开发全面的课程框架。

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