REU Site: Program for Access to Training in Health Informatics (PATHI)

本科生研究经验--获得健康信息学培训计划(REU-PATI)将在夏季为10名本科生提供为期10周的有意义的健康信息学研究机会。作为一个领域，健康信息学将科学、工程、社会科学和其他多个领域联系起来，以解决与健康相关的关键研究课题。REU-Pathi网站寻求扩大对卫生信息学的参与，并在这一迅速扩大的领域打开新的机会。至少50%的REU-Pathi学生将来自科学、技术、工程和数学(STEM)和计算机领域代表性不足的群体，包括女性、少数群体成员、第一代大学生和就读于研究经验有限的机构的学生。学生将与范德比尔特大学医学中心生物医学信息学系的教师导师配对，他们将与学生一起发展卫生信息学研究方面的知识、技能和经验。本科生将有机会在三个健康信息学重点领域之一工作：1)计算，专注于计算密集型主题，如自然语言处理、数据科学、预测分析和数据隐私；2)精确健康，专注于全基因组和全基因组关联研究、基因组学和蛋白质组学；以及3)人-技术交互，将人机交互、人为因素工程和社会技术系统的概念应用于复杂临床环境中的工作流程和患者安全等主题。无论研究领域如何，REU-PATI的所有学生都将参加每周两次的由教师举办的研讨会、计算机编程工作坊和其他专业发展活动。REU-Pathi网站的目标是让来自不同背景的本科生参与计算机科学、基础科学、工程学、社会科学和卫生等领域的有意义的科学研究项目，并为他们培养成为识别、设计、开发、部署和研究创新技术解决方案以解决与卫生相关的重要问题的下一代研究人员。健康信息学是当今发展最快的领域之一。然而，在引导和培训不同的本科生适应这个高影响力的科学研究领域的许多职业道路方面，存在着重大的挑战。REU-Pathi通过1)培训本科生进行尖端的卫生信息学研究；2)向学生介绍卫生信息学研究生教育和研究的途径；3)让研究生、博士后学者和教师指导本科生；4)为REU的学生提供机会将他们的研究传播给同行、研究生、教师和领域；以及5)将我们更大的实习计划中的高中生与本科生联系起来。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The Research Experiences for Undergraduates - Program for Access to Training in Health Informatics (REU-PATHI) will provide 10 undergraduate students with the opportunity to conduct meaningful health informatics research for a period of 10 weeks in the summer. As a field, health informatics connects science, engineering, social sciences, and multiple other fields towards addressing critical health-related research topics. The REU-PATHI site seeks to broaden participation in health informatics and open new opportunities in this rapidly expanding field. At least 50% of REU-PATHI students will come from groups that are underrepresented in Science, Technology, Engineering and Mathematics (STEM) and Computing fields, including women, members of minority groups, first generation college students, and students attending institutions with limited access to research experiences. Students will be matched with faculty mentors in the Vanderbilt University Medical Center Department of Biomedical Informatics, who will work with students to develop knowledge, skills, and experience in health informatics research. The undergraduate students will have the opportunity to work in one of three health informatics focus areas: 1) Computing, focusing on computationally-intensive topics such as natural language processing, data science, predictive analytics, and data privacy; 2) Precision Health, focusing on topics such as genome-wide and phenome-wide association studies, genomics, and proteomics, and 3) Human-Technology Interaction, applying concepts from human-computer interaction, human factors engineering, and sociotechnical systems to topics such as studying workflow in complex clinical environments and patient safety. Regardless of specific research area, all REU-PATHI students will participate in twice-weekly seminars presented by faculty, computer programming workshops, and other professional development activities. The objectives of the REU-PATHI Site are to engage undergraduate students from diverse backgrounds in meaningful scientific research projects at the nexus of computer science, basic sciences, engineering, social sciences, and health, and to prepare them to become the next generation of researchers identifying, designing, developing, deploying, and studying innovative technology-based solutions for important health-related problems. Health Informatics is one of the fastest growing fields today. However, there are significant challenges in orienting and training diverse undergraduate students to the many career pathways available in this high-impact scientific research field. REU-PATHI addresses this urgent problem by 1) training undergraduate students to conduct cutting-edge health informatics research; 2) introducing students to pathways in health informatics graduate education and research; 3) involving graduate students, postdoctoral scholars, and faculty in mentoring undergraduate students; 4) providing opportunities for REU students to disseminate their research to peers, graduate students, faculty, and the field; and 5) linking high school students in our larger internship program to undergraduate peers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.