PDF(Pubmed)
Abstract：
The twin pandemics of COVID-19 and structural racism brought into focus health disparities and disproportionate impacts of disease on communities of color. Health equity has subsequently emerged as a priority. Recognizing that the future of health care will be informed by advanced information technologies including artificial intelligence (AI), machine learning, and algorithmic applications, the authors argue that to advance towards states of improved health equity, health information professionals need to engage in and encourage the conduct of research at the intersections of health equity, health disparities, and computational biomedical knowledge (CBK) applications. Recommendations are provided with a means to engage in this mobilization effort.
摘要：
COVID-19和结构性种族主义的双重流行病使人们关注健康差异以及疾病对有色人种社区的不成比例的影响。卫生公平随后成为一个优先事项。认识到医疗保健的未来将由包括人工智能（AI）在内的先进信息技术提供信息，机器学习,和算法应用，作者认为，为了朝着改善健康公平的状态前进，健康信息专业人员需要参与和鼓励在健康公平的交叉点进行研究，健康差异,和计算生物医学知识(CBK)应用。建议提供了参与这一动员工作的手段。
