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The RADx Tech Deployment Core: A Model for Academic/Government Based Support of Large-Scale Manufacturing and Implementation of Medical Technologies.
Walsh, Brian; Hosoi, Annette; Kingsley, Manuel; Moreira, Susan; Ramakrishnan, Sreeram; Tessier, Paul; Gagliano, Nancy.
  • Walsh B; Innova Group Alpharetta GA 30022 USA.
  • Hosoi A; School of EngineeringMassachusetts Institute of Technology Cambridge MA 02139 USA.
  • Kingsley M; Innova Group Alpharetta GA 30022 USA.
  • Moreira S; School of EngineeringMassachusetts Institute of Technology Cambridge MA 02139 USA.
  • Ramakrishnan S; Moreira Advisors Northborough MA USA.
  • Tessier P; RxCap Inc. Boston MA USA.
  • Gagliano N; Consortia for Improving Medicine with Innovation and TechnologyMassachusetts General Hospital and Harvard Medical School Boston MA 02114 USA.
IEEE Open J Eng Med Biol ; 2: 158-162, 2021 Apr 28.
Article in English | MEDLINE | ID: covidwho-1599077
ABSTRACT
This paper explores how the approach, process, and learnings of the RADxSM 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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: IEEE Open J Eng Med Biol Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: IEEE Open J Eng Med Biol Year: 2021 Document Type: Article