DEVELOPMENT AND VALIDATION OF SOFTWARE FOR MANAGEMENT AND MONITORING OF SURGICAL BEDS IN A MUNICIPAL PUBLIC HOSPITAL

Abstract

Hospital bed management represents a critical challenge for the efficiency of public health services, especially in contexts of high care demand and limited resources. This study aimed to develop and validate a computational platform for the management and monitoring of surgical beds in a municipal public hospital. The research was conducted in three stages: (1) integrative literature review to define functional and conceptual requirements; (2) modeling and development of the digital platform, including hierarchical profiles, clinical and administrative modules, automated report generation (hospital and nursing census), and real-time visualization of bed occupancy; and (3) validation by experts. The evaluation was carried out with 12 judges (physicians and nurses) experienced in hospital management. The System Usability Scale (SUS) was used to measure usability, and a Likert scale was applied to assess interface, practicality, and applicability. Data were analyzed using the Statistical Package for the Social Sciences (SPSS), version 22.0. Results indicated high acceptability of the platform, with an overall approval rate of 85.7% and strong performance in satisfaction (89.4%), efficiency (85%), and effectiveness (82.8%). The solution demonstrated high usability, interface quality, and responsiveness, supporting dynamic visualization of bed occupancy, integration between clinical and administrative sectors, and data-driven decision-making. It is concluded that the platform shows potential to improve bed management in public hospitals, promoting greater transparency in regulatory processes, reducing manual activities, and optimizing care flows. Longitudinal studies are recommended to assess operational impact and scalability of the solution in different hospital contexts.