Walsh Brian, Hosoi Annette, Kingsley Manuel, Moreira Susan, Ramakrishnan Sreeram, Tessier Paul, Gagliano Nancy
Innova Group Alpharetta GA 30022 USA.
School of EngineeringMassachusetts Institute of Technology Cambridge MA 02139 USA.
IEEE Open J Eng Med Biol. 2021 Apr 28;2:158-162. doi: 10.1109/OJEMB.2021.3070822.
This paper explores how the approach, process, and learnings of the RADx Tech Deployment Core in its support of manufacturing, deployment, and implementation of medical technologies is creating a replicable model for the future. Initially, the key construct of the RADx Tech Deployment Core was helping companies manufacture, commercialize, and develop a digital infrastructure for the purpose of SARS-CoV-2 testing and reporting. However, the team and RADx Tech leadership soon realized that the larger infrastructure to deploy testing in non-clinical environments was nonexistent and that wrap-around services were required to build the necessary bridge between manufacturing and end users. Furthermore, the unique communities that required testing (e.g., manufacturing plants, transportation hubs, K-12 schools, etc.) had different infrastructure requirements and outsized needs for education and support around testing plan implementation. The Deployment Core, therefore, quickly scaled a team to help to complete the picture and provide guidance to end users and ultimately help shape public policy around a useful data model.
本文探讨了RADx技术部署核心在支持医疗技术制造、部署和实施方面的方法、过程及经验教训,如何为未来创建一个可复制的模式。最初,RADx技术部署核心的关键架构是帮助公司制造、商业化并开发用于SARS-CoV-2检测和报告的数字基础设施。然而,该团队和RADx技术领导层很快意识到,在非临床环境中部署检测的更大基础设施并不存在,需要全方位服务来构建制造与终端用户之间的必要桥梁。此外,需要检测的独特社区(如制造厂、交通枢纽、K-12学校等)有不同的基础设施要求,并且在检测计划实施方面对教育和支持有巨大需求。因此,部署核心迅速扩充团队,以帮助完善整体情况并为终端用户提供指导,最终围绕一个有用的数据模型帮助塑造公共政策。