Sapci A Hasan, Sapci H Aylin
Adelphi University, Garden City, NY, United States.
Hancock, MI, United States.
JMIR Med Inform. 2020 Jan 21;8(1):e15748. doi: 10.2196/15748.
Existing health informatics curriculum requirements mostly use a competency-based approach rather than a skill-based one.
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.
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.
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%).
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.
现有的健康信息学课程要求大多采用基于能力的方法,而非基于技能的方法。
本研究的主要目的是评估研究生健康信息学课程当前的技能培训要求,以评估研究生对特定健康信息学技能的信心。
开展了一项定量横断面观察性研究,以评估已发表的健康信息学课程要求,并确定美国纽约一所研究型大学所需的综合健康信息学技能集。此外,还编制了一份问卷,以评估学生对特定健康信息学技能的信心,并发送给健康信息学项目中所有已注册和毕业的理学硕士学生。
在一个研究生健康信息学项目中进行了评估,对学生自我评估问卷的分析表明,79.4%(81/102)的参与者对开发人工智能应用程序没有信心(完全没有信心或有点信心),58.8%(60/102)的参与者对设计和开发数据库没有信心,54.9%(56/102)的参与者对评估隐私和安全基础设施没有信心。不到三分之一的学生(24/105,23.5%)有信心(非常有信心和很有信心)能够评估数据捕获技术的使用并开发移动健康信息学应用程序(10/102,9.8%)。
健康信息学项目应考虑设置包含特定技能的专业方向,以满足复杂的医疗服务和市场需求,并且应为不同专业定义特定的培训内容。有必要确定能够促进从多样的数据平台进行归纳和演绎推理的新能力和技能集,并制定一个全面的健康信息学技能培训课程框架。