J Med Libr Assoc. 2024 Apr 1;112(2):158-163. doi: 10.5195/jmla.2024.1836. Epub 2024 May 22.
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.
COVID-19 和结构性种族主义这双重大流行使人们关注健康差距以及疾病对有色人种社区的不成比例影响。随后,健康公平成为了一个优先事项。作者认为,由于未来的医疗保健将受到人工智能(AI)、机器学习和算法应用等先进信息技术的影响,因此健康信息专业人员需要参与并鼓励在健康公平、健康差异和计算生物医学知识(CBK)应用的交叉领域开展研究。文中提供了一些建议,以推动这项动员工作。