Department of Otolaryngology-Head and Neck Surgery, Weill Cornell Medicine, New York, New York, USA.
Otolaryngol Head Neck Surg. 2021 Mar;164(3):528-541. doi: 10.1177/0194599820955178. Epub 2020 Sep 1.
The COVID-19 health crisis abruptly disrupted the practice of otolaryngology. This article aims to define the changes needed to operate an academic otolaryngology practice safely and efficiently from within the epicenter of the pandemic. We define the areas of normal patient workflow that have been affected by COVID-19, and we offer mitigation strategies with attention paid to the specific needs of subspecialties.
The article includes data specific to the office practice metrics of the Weill Cornell Medicine Department of Otolaryngology-Head and Neck Surgery, as well as publically available data from New York Presbyterian Hospital system and the .
Expert opinion.
Through careful planning and execution, it is possible to reestablish safe otolaryngologic patient care during the COVID-19 pandemic. It will require a significant change from prior practice models for successful implementation. Additionally, telemedicine can be positively integrated into the treatment of otolaryngology diseases for new and established patients.
The information conveyed in this review can be used as a guide by large and small otolaryngology groups to identify aspects of the patient visit that are "at risk" due to COVID-19, and it suggests sensible responses that can be made without a significant disruption to normal practice. The methods used to identify vulnerabilities with the patient visit process can be applied to future unforeseen crises, such as a resurgence of COVID-19 or a novel pandemic.
COVID-19 健康危机突然打乱了耳鼻喉科的实践。本文旨在定义在大流行中心安全有效地运营学术耳鼻喉科实践所需的改变。我们定义了正常患者工作流程中受到 COVID-19 影响的区域,并提供了缓解策略,同时关注了各个亚专业的具体需求。
本文包括康奈尔大学医学院耳鼻喉科-头颈外科办公室实践指标的具体数据,以及纽约长老会医院系统和. 上的公开可用数据。
专家意见。
通过仔细的规划和执行,可以在 COVID-19 大流行期间重新建立安全的耳鼻喉科患者护理。成功实施需要从先前的实践模式进行重大改变。此外,远程医疗可以积极整合到新患者和已建立患者的耳鼻喉科疾病治疗中。
本综述传达的信息可作为大型和小型耳鼻喉科团体的指南,以确定由于 COVID-19 而“有风险”的患者就诊方面,并提出明智的应对措施,而不会对正常实践造成重大干扰。用于识别患者就诊流程中的漏洞的方法可应用于未来不可预见的危机,例如 COVID-19 的再次爆发或新的大流行。