RAPID: Collecting Supply, Demand, and Matching Data for Assigning Medical Staff to Long Term Care Facilities During the COVID-19 Pandemic

持续的COVID-19大流行导致长期护理设施中治疗患者的临床和非临床人员的需求激增和短缺。 长期护理设施已被证明是COVID-19爆发的热点，而这些设施中的医务人员本身面临着更高的疾病风险，这使得人员配置决策非常困难。 这个快速反应研究（RAPID）项目将从一个监督这些设施人员配备的中央机构收集有关人员配备、疾病流行率和缺勤率的数据。 这些数据将有助于支持更好的决策支持工具，以便每天将具有不同技能和偏好的医务人员与长期护理设施动态匹配。 该项目将与马萨诸塞州老年事务执行办公室合作，从长期护理设施门户网站收集并存档有关临床和非临床医务人员日常需求的数据，工作申请，缺勤率，设施测试数据，以及来自每日全州电话会议状态更新的定性信息。 作为该项目的一部分，收集的数据将在改善长期护理设施的区域人员配备的动态匹配过程中发挥重要作用。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The ongoing COVID-19 pandemic has resulted in a surge in demand and shortages of clinical and non-clinical personnel to treat patients in long term care facilities. Long term care facilities have proven to be hotspots for COVID-19 outbreaks and medical personnel in these facilities themselves faced increased risk of disease, making staffing decisions very difficult. This Rapid Response Research (RAPID) project will collect data on staffing, disease prevalence, and absenteeism from a centralized authority that oversees staffing in these facilities. These data will help support better decision support tools to dynamically match medical staff with different skills and preferences to long term care facilities on a daily basis. Working with the the Massachusetts Executive Office of Elder Affairs, the project will collect and archive data from the long term care facility portal on daily needs for clinical and non-clinical medical staff, job applications, absenteeism rates, facility testing data, as well as qualitative information from daily state-wide phone conference status updates. The data collected as part of this project will be valuable in improving the dynamic matching process for regional staffing of long term care facilities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.