A scalable model to ensure sustainability of resources and quality in health emergency management in public administration
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Hospital Management Area, Local Health Authority Roma 1, Rome, Italy
Risk Management Area, Local Health Authority, Roma, Italy
Risk Management, Local Health Authorithy Roma 1, Roma, Italy
Information and Communication Technology, Local Health Authority Roma 1, Rome, Italy
Health Professionals Area, Local Health Authority Roma 1, Rome, Italy
Department of Economics, University of Foggia, Foggia, Italy
Risk Management Area, Istituto di Ricovero e Cura a Carattere Scientifico IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
Risk Management Area, Local Health Authorithy Roma 1, Rome, Italy
Publication date: 2023-04-27
Popul. Med. 2023;5(Supplement):A359
Background and Objective: During the COVID-19 pandemic, standard criteria were defined for optimization of spaces to be used as vaccination centers, in relation to the objectives of the 2030 UN Agenda on environmental sustainability. The aim of the study is to describe a scalable model based on the criteria of economic sustainability of the public administration, potentially expandable in other sectors such as cooperation and development. Methods: To define the essential requirements of the new vaccination centres, a Rapid Response Team was set up and WHO guidelines were adopted following a specific checklist elaborated from a SWOT Analysis. The project was carefully calculated and measured in all phases of the vaccination cycle process. The new centers have also been designed to ensure social inclusion and user privacy. Results: The centers were set up in about 20 days. The checklist and data collection has allowed to optimize the process and the efficiency of the linear conformation, guaranteeing a 15% increase in space for each phase of the vaccination cycle based on the length of stay of the workers. All steps have been fully digitized with 100% accuracy in data handling. In 13 months, the saving of paper filing, compared to CO2 emissions, was 64.34Kt. Conclusions: Our model can be easily reproduced in other contexts, guaranteeing efficiency, taking advantage of new digital technologies and the quality of education.