Department of Learning Health Sciences, University of Michigan Medical School, 300 North Ingalls, Suite 1161, Ann Arbor, Michigan, USA.
Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
J Am Med Inform Assoc. 2023 Sep 25;30(10):1747-1753. doi: 10.1093/jamia/ocad123.
Health organizations and systems rely on increasingly sophisticated informatics infrastructure. Without anti-racist expertise, the field risks reifying and entrenching racism in information systems. We consider ways the informatics field can recognize institutional, systemic, and structural racism and propose the use of the Public Health Critical Race Praxis (PHCRP) to mitigate and dismantle racism in digital forms. We enumerate guiding questions for stakeholders along with a PHCRP-Informatics framework. By focusing on (1) critical self-reflection, (2) following the expertise of well-established scholars of racism, (3) centering the voices of affected individuals and communities, and (4) critically evaluating practice resulting from informatics systems, stakeholders can work to minimize the impacts of racism. Informatics, informed and guided by this proposed framework, will help realize the vision of health systems that are more fair, just, and equitable.
健康组织和系统依赖于日益复杂的信息学基础设施。如果没有反种族主义专业知识,该领域就有可能使信息系统中的种族主义观念具体化和根深蒂固。我们考虑了信息学领域可以识别制度、系统和结构种族主义的方法,并提出使用公共卫生关键种族实践(PHCRP)来减轻和消除数字形式的种族主义。我们为利益相关者列举了指导问题以及 PHCRP-信息学框架。通过关注(1)批判性自我反思,(2)遵循既定种族主义学者的专业知识,(3)关注受影响个人和社区的声音,以及(4)批判性评估信息学系统产生的实践,利益相关者可以努力将种族主义的影响降到最低。在这个提议的框架的指导下,信息学将有助于实现更公平、公正和公平的卫生系统的愿景。