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Training in Public Health Informatics and Technology Leveraging a Multi-institutional Partnership Model and
Sripriya Rajamani1,2,3, Kristie C Waterfield4, Robin Austin1
1School of Nursing, University of Minnesota, Minneapolis, Minnesota, United States.
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).
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