Assessing the Business Continuity of a healthcare organization through a data-gathering modality approach

Oussema Ben Amara (1) , Daouda Kamissoko (1) , Ygal Fijalkow (2) , Frederick Benaben (1)

1 CGI - Centre Génie Industriel
2 INUC - Institut national universitaire Champollion [Albi]

Most business continuity planning methods help provide adequate precautions in case of a crisis situation to keep the organization’s main activities running uninterruptedly in the moment of the crisis. One way to accurately improve the rules that arise from business continuity planning (BCP) would be to (i) proceed with the data multidimensions and multi-sources (physical, societal, financial, etc.) through a purpose-driven Information System (IS), (ii) build customized integral robustness indicators and (iii) use them to qualify the business continuity strategy. On this basis, this work’s findings make firms, particularly healthcare organizations, less sensitive to catastrophes by designing an interactive dashboard that pilots the business continuity indicators and highlights decisive components and resources.

Mots clés: Pathology; Hospitals; Buildings; Prototypes; Organizations; Robustness; Planning

Domaines: Sciences de l'ingénieur [physics]

Oussema Ben Amara, Daouda Kamissoko, Ygal Fijalkow, Frederick Benaben. Assessing the Business Continuity of a healthcare organization through a data-gathering modality approach. SMC 2022 - IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct 2022, Prague, Czech Republic. p. 2215-2222, ⟨10.1109/SMC53654.2022.9945437⟩. ⟨hal-03864956⟩