title: Exploring local public health workflow in the context of automated translation technologies.
abstract: Despite the growing limited English proficiency (LEP) population in the US, and federal regulations requiring multilingual health information be available for LEP individuals, there is a lack of available high quality multilingual health promotion materials. The costs and personnel time associated with creating high quality translations serve as barriers to their creation, especially in resource limited public health settings. To explore the potential adoption of novel machine translation and document dissemination technologies for improving the creation and sharing of translated public health materials, we interviewed key health department personnel in Washington State. We analyzed translation workflow, elucidated key themes regarding public health translation work, and assessed attitudes towards electronic document exchange and machine translation. Public health personnel expressed the need for human quality assurance and oversight, but appreciated the potential of novel information technologies to assist in the production and dissemination of translated materials for public health practice.
authors.affiliation: Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA;
authors.forename: Hannah
authors.initials: H
authors.lastname: Mandel
authors.affiliation: Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA; ; Department of Health Services, University of Washington, Seattle, WA.
authors.forename: Anne M
authors.initials: AM
authors.lastname: Turner
mesh_terms: D001330:Electronic Data Processing; D006301:Health Services Needs and Demand; D006801:Humans; D007407:Interviews as Topic; D019303:Multilingualism; D011635:Public Health Administration; D040442:Public Health Informatics / Q000458:organization & administration*; D011785:Quality Assurance, Health Care; D013647:Task Performance and Analysis; D014175:Translating; D014861:Washington; D057188:Workflow; D000078329:Workforce
keywords: Public health; machine translation workflow; public health informatics