Minimization of nosocomial infections risks by a decision algorithm for upgrading of healthcare facilities

A Decision-Making Algorithm for Rearchitecting of Healthcare Facilities to Minimize Nosocomial Infections Risks

“…Selecting high-risk departments from a HF, as a complex organization with multiple criteria, can be run through multiple criteria decision-making (MCDM) methods. Therefore, to choose the correct methods among the many MCDM methods, Gade and Osuri [42] and Parsia [37] described the key aspects to be considered when selecting methods of MCDM, comprised as follows: Ease-of-use, friendly user interface, generalized application domain, robust application, consistent operation, time needed, accuracy of DM course results, technical implementation, application of decision models in sensitivity analyses, and the necessity of fewer human interventions in DM processes. Accordingly, this study selected two various mathematical levels of MCDM methods, which are enumerated as follows.…”

“…Rearchitecting in HFs started to become more noticeable in the late 1990s, when the United States was still experiencing a decade of almost unprecedented economic prosperity [36]. Referring to the definition by Parsia [37], HF rearchitecting is defined as the decisions targeting the removal of one or several departments in the HF. All HF staff and managers are aware that old structures not only merely fail to serve the patients adequately, but also fail in what even the most reluctant healthcare providers have come to recognize as a medical marketplace [38].…”