ABSTRACT
This study follows the pandemic caused by SARS-CoV-2 that aroused curiosity regarding the clinical decisions made in this context. The use of Business Intelligence systems by organizations has proven to be an effective choice whenever it is intended to provide information and support decision making. The aim of this article is to demonstrate the importance of using a Business Intelligence system to support clinical decision-making. Within the scope of the work carried out: i) a mental map was created to be adopted to carry out electronic research and information collection, ii) a model to be followed for carrying out the work was defined, as well as the motivation and research methodology, iii) were Comparisons were made between some support systems for clinical decision within the National Health Service (SNS). The results show that, when there are means that support clinical decision-making, it is a more consistent way of obtaining results that promote efficiency and effectiveness and the propensity for error will be less.
ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic has necessitated rapid response plans to minimize risks of infection in the workforce while ensuring maintenance of essential functions of radiology departments. Plan adoption is, however, challenged by the need to coordinate with institutional efforts, a rapidly expanding number of patients, and the diversity of clinical and administrative functions in the department. Here, we describe the implementation of a response plan in an academic radiology department, challenges encountered, and tactics used to address these challenges.