Implementation of artificial intelligence to enhance hospital governance management

Abstract

Introduction: Artificial intelligence is a set of technologies that simulate human cognitive processes and has the potential to transform hospital management, which requires innovative tools to facilitate agile and effective decision-making.

Objective: To propose an action plan based on the diagnostic assessment conducted to promote the use of artificial intelligence tools in hospital governance.

Methods: This descriptive, non-experimental study employed theoretical, empirical, and statistical methods to diagnose the current state of artificial intelligence use among the 54 managers of the Vladimir Ilich Lenin General University Hospital in Holguín and to substantiate the proposed action plan.

Results: 67% of those interviewed were familiar with artificial intelligence, but 83% did not use it in hospital decision-making. 87% identified lack of training as the main barrier to its implementation. Key processes for its application were identified as resource allocation, bed management, shift scheduling, clinical data analysis, and demand forecasting. An action plan was developed with seven key areas and 54 actions aimed at strengthening digital training and culture, technological modernization, cybersecurity, dissemination, phased implementation, monitoring, evaluation, continuous improvement, and ethics.

Conclusions: Artificial intelligence represents a strategic opportunity to improve hospital management. Its implementation requires overcoming technological, training, and ethical challenges. A proposed action plan focused on training staff, developing infrastructure, and promoting the integration of these tools into key processes can enhance the efficiency, quality, and sustainability of hospital governance.