Division of Operative Dentistry, Columbia University College of Dental Medicine, New York, New York, USA.
Division of Oral and Maxillofacial Pathology, Columbia University College of Dental Medicine, New York, New York, USA.
J Am Med Inform Assoc. 2021 Aug 13;28(9):1996-2001. doi: 10.1093/jamia/ocab045.
COVID-19 quickly immobilized healthcare systems in the United States during the early stages of the outbreak. While much of the ensuing response focused on supporting the medical infrastructure, Columbia University College of Dental Medicine pursued a solution to triage and safely treat patients with dental emergencies amid the pandemic. Considering rapidly changing guidelines from governing bodies, dental infection control protocols, and our clinical faculty's expertise, we modeled, built, and implemented a screening algorithm, which provides decision support as well as insight into COVID-19 status and clinical comorbidities, within a newly integrated electronic health record (EHR). Once operationalized, we analyzed the data and outcomes of its utilization and found that it had effectively guided providers in triaging patient needs in a standardized methodology. This article describes the algorithm's rapid development to assist faculty providers in identifying patients with the most urgent needs, thus prioritizing treatment of dental emergencies during the pandemic.
COVID-19 在疫情早期迅速使美国的医疗系统陷入瘫痪。虽然随后的大部分应对措施都集中在支持医疗基础设施上,但哥伦比亚大学牙医学院还是在疫情期间寻求解决办法,以对牙科急症患者进行分诊和安全治疗。考虑到管理机构、牙科感染控制协议以及我们临床教师的专业知识不断变化的指导方针,我们构建并实施了一个筛选算法,该算法提供决策支持以及对 COVID-19 状况和临床合并症的深入了解,该算法整合在新的电子健康记录 (EHR) 中。投入使用后,我们分析了数据和利用结果,发现它有效地指导了提供者以标准化的方法对患者需求进行分诊。本文介绍了该算法的快速开发,以帮助教师提供者识别最急需的患者,从而在大流行期间优先治疗牙科急症。