Sanitary intelligence and decision-making: Integrated Sanitary Assessment Model for Hospitals

Abstract

This article aims to present the Integrated Hospital Sanitary Assessment Model (MASIH). Its methodological construction took place in two stages, namely: the construction of three indices for hospital evaluation based on potential risks identified in sanitary inspections and the definition of a graphical panel to represent the indices alongside patient safety and infection control data. With the development of MASIH, it became possible to graphically represent the Aggregated Potential Risk Index, the Sanitary Regularity Index, and the Heterogeneity Index, along with patient safety and hospital infection data. The model represents an innovation in the National Sanitary Surveillance System by introducing methods that, for the first time, enable the integration of sanitary inspection, infection control, and patient safety data. This integration enhances Sanitary Surveillance by improving the evaluation and decision-making process while also laying the foundation for the use of artificial intelligence to identify patterns among inspection, infection, and patient safety indicators. The model has been presented and is currently in the implementation phase by the National Sanitary Surveillance Agency.