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公共卫生信息学和技术培训——利用多机构合作模式并强调体验式学习。

Training in Public Health Informatics and Technology Leveraging a Multi-institutional Partnership Model and Emphasizing Experiential Learning.

机构信息

School of Nursing, University of Minnesota, Minneapolis, Minnesota, United States.

School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States.

出版信息

Appl Clin Inform. 2024 Aug;15(4):668-678. doi: 10.1055/s-0044-1787979. Epub 2024 Aug 14.

DOI:10.1055/s-0044-1787979
PMID:39142641
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11324355/
Abstract

BACKGROUND AND OBJECTIVE

Though public health is an information-intense profession, there is a paucity of workforce with Public Health Informatics and Technology (PHIT) skills, which was evident during the coronavirus disease 2019 (COVID-19) pandemic. This need is addressed through the PHIT workforce program (2021-2025) by the Office of the National Coordinator for training and to increase racial and ethnic diversity in the PHIT workforce. The objective is to share details on the Training in Informatics for Underrepresented Minorities in Public Health (TRIUMPH) consortium, funded by the PHIT workforce program.

METHODS

The TRIUMPH consortium is a collaboration between academic and practice partners with a commitment to training 879 students in PHIT. The Schools of Public Health and Nursing at the University of Minnesota, Jiann-Ping Hsu College of Public Health at Georgia Southern University, Morehouse School of Medicine, and Public Health Informatics Institute offer PHIT training through various programs. Academic institutions focus on student recruitment, developing courses/curriculum, and granting degrees/certificates, and the role of practice partners is to support experiential learning through internships/practicums.

RESULTS

The TRIUMPH consortium is progressing toward its goals, with 692 students (79%) already trained in a PHIT modality as of December 2023. The learners comprise diverse race/ethnicity, including White (48%), Black/African American (32%), Asian (10%), White Hispanic (5%), American Indian/Alaska Native (2%), and Black Hispanic (1%). Numerous internships have been completed in settings ranging from state/local public health agencies to health care delivery systems. Diversity initiatives were supported by partnering with existing programs (e.g., the AMIA First Look program and the Nursing Knowledge Big Data Science conference).

CONCLUSION

This consortium model is an excellent approach to informatics training and sharing expertise across partners. It provides scalability and broader geographic outreach while presenting opportunities to students from underrepresented backgrounds. Lessons learned have implications for overall informatics training (e.g., partnerships models, promoting racial/ethnic diversity).

摘要

背景与目的

尽管公共卫生是一个信息密集型的专业,但具备公共卫生信息学和技术(PHIT)技能的劳动力却十分匮乏,这在 2019 年冠状病毒病(COVID-19)大流行期间表现得尤为明显。为满足这一需求,国家协调员办公室通过 PHIT 劳动力计划(2021-2025 年)开展培训,并增加 PHIT 劳动力中的种族和民族多样性。本文旨在介绍由 PHIT 劳动力计划资助的培训代表性少数群体公共卫生信息学(TRIUMPH)联盟的详细情况。

方法

TRIUMPH 联盟是学术和实践合作伙伴之间的合作,致力于培训 879 名 PHIT 学生。明尼苏达大学公共卫生和护理学院、佐治亚南方大学 Jiann-Ping Hsu 公共卫生学院、莫尔豪斯医学院和公共卫生信息学研究所通过各种项目提供 PHIT 培训。学术机构专注于学生招募、课程/课程开发以及学位/证书授予,而实践合作伙伴的作用是通过实习/实践支持体验式学习。

结果

截至 2023 年 12 月,TRIUMPH 联盟已朝着其目标取得进展,已有 692 名学生(79%)接受了某种 PHIT 模式的培训。这些学习者的种族/民族构成多样,包括白人(48%)、非裔美国人(32%)、亚裔(10%)、白西班牙裔(5%)、美国印第安人/阿拉斯加原住民(2%)和黑西班牙裔(1%)。从州/地方公共卫生机构到医疗保健提供系统,学生们已完成了众多实习。通过与现有项目(如 AMIA First Look 项目和护理知识大数据科学会议)合作,多样性倡议得到了支持。

结论

该联盟模式是一种优秀的信息学培训方法,可以在合作伙伴之间共享专业知识。它提供了可扩展性和更广泛的地理覆盖范围,同时为来自代表性不足背景的学生提供了机会。所吸取的经验教训对整体信息学培训具有重要意义(如伙伴关系模式、促进种族/民族多样性)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1607/11324355/aa46d819b257/10-1055-s-0044-1787979-i202402cr0037-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1607/11324355/a407976878be/10-1055-s-0044-1787979-i202402cr0037-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1607/11324355/3b706d6913e2/10-1055-s-0044-1787979-i202402cr0037-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1607/11324355/aa46d819b257/10-1055-s-0044-1787979-i202402cr0037-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1607/11324355/a407976878be/10-1055-s-0044-1787979-i202402cr0037-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1607/11324355/3b706d6913e2/10-1055-s-0044-1787979-i202402cr0037-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1607/11324355/aa46d819b257/10-1055-s-0044-1787979-i202402cr0037-3.jpg

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