59599.pdf

Deployment of an on-site laboratory to contain an expanding outbreak and protect public health through rapid diagnosis of infected patients and identification of their contacts is a challenging and complex response, further complicated by time limitation and dramatic consequences of failure. Effecti...

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Γλώσσα:English
Έκδοση: InTechOpen 2021
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spelling oapen-20.500.12657-492392021-11-23T14:05:46Z Chapter Operations Management and Decision Making in Deployment of an On-Site Biological Analytical Capacity Gala, Jean-Luc Vybornova, Olga biological analytical capacity, operational functions, decision support, knowledge management, health crisis response bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJT Operational research Deployment of an on-site laboratory to contain an expanding outbreak and protect public health through rapid diagnosis of infected patients and identification of their contacts is a challenging and complex response, further complicated by time limitation and dramatic consequences of failure. Effective operations management and decision-making are critical for a successful Fieldable Laboratory (FL) mission at each phase of the mission. To analyze the principles and challenges of the operations management and associated decision-making process, the FL mission has been broken down into five successive interlinked phases defined as the “FL mission cycle” (FL-MC). Each phase comprises a set of operational functions (OFs) corresponding to the mission activities. Some decisions are associated with a single OF, whereas others are taken across different OFs and FL-MC phases. All decisions are treated as logical entities inherently linked to each other and to the whole situational context within the FL operational domain. Being part of the laboratory information management system (LIMS), the FL domain ontology is developed as the main knowledge management tool supporting the decision-making process. This is an essential way to promote interoperability and scalability between different FL modules and health care capacities during cross-border biological crises. 2021-06-02T10:10:17Z 2021-06-02T10:10:17Z 2018 chapter ONIX_20210602_10.5772/intechopen.74357_353 https://library.oapen.org/handle/20.500.12657/49239 eng application/pdf n/a 59599.pdf InTechOpen 10.5772/intechopen.74357 10.5772/intechopen.74357 09f6769d-48ed-467d-b150-4cf2680656a1 H2020-MSCA-IF-2016 740521 312885 open access
institution OAPEN
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language English
description Deployment of an on-site laboratory to contain an expanding outbreak and protect public health through rapid diagnosis of infected patients and identification of their contacts is a challenging and complex response, further complicated by time limitation and dramatic consequences of failure. Effective operations management and decision-making are critical for a successful Fieldable Laboratory (FL) mission at each phase of the mission. To analyze the principles and challenges of the operations management and associated decision-making process, the FL mission has been broken down into five successive interlinked phases defined as the “FL mission cycle” (FL-MC). Each phase comprises a set of operational functions (OFs) corresponding to the mission activities. Some decisions are associated with a single OF, whereas others are taken across different OFs and FL-MC phases. All decisions are treated as logical entities inherently linked to each other and to the whole situational context within the FL operational domain. Being part of the laboratory information management system (LIMS), the FL domain ontology is developed as the main knowledge management tool supporting the decision-making process. This is an essential way to promote interoperability and scalability between different FL modules and health care capacities during cross-border biological crises.
title 59599.pdf
spellingShingle 59599.pdf
title_short 59599.pdf
title_full 59599.pdf
title_fullStr 59599.pdf
title_full_unstemmed 59599.pdf
title_sort 59599.pdf
publisher InTechOpen
publishDate 2021
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