La inteligencia artificial como apoyo en la prevención de enfermedades laborales en el área de la salud
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Fecha
2025
Autores
Cruz Montañez, María Isabel
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Ediciones Universidad Simón Bolívar
Facultad de Ciencias de la Salud
Facultad de Ciencias de la Salud
Resumen
El presente trabajo de investigación aborda el impacto que la inteligencia artificial puede tener en la gestión de la salud ocupacional en el sector salud, cuyo objetivo general es analizar la inteligencia artificial en la prevención de enfermedades laborales del sector salud mediante la identificación temprana de riesgos y la gestión de la salud ocupacional. Identificar las herramientas de inteligencia artificial en la aplicación de la prevención de enfermedades laborales en el sector salud. Describir las innovaciones y el desarrollo de la inteligencia artificial en la identificación de riesgos y el control de la salud ocupacional dentro de los ambientes laborales del sector salud. Proponer una estrategia de identificación temprana y prevención de riesgos laborales mediante la inteligencia artificial en la en el área de la salud. Para la investigación se realiza una revisión documental exhaustiva para diagnosticar las
herramientas de inteligencia artificial que se pueden aplicar en la prevención de enfermedades laborales en el sector salud. Finalmente, se identifica diversas herramientas tecnológicas, se identificaron aquellas más relevantes para la prevención de enfermedades laborales, como los dispositivos wearables, que permiten el monitoreo en tiempo real de la salud de los trabajadores, los sistemas de visión artificial y el análisis predictivo de datos, que facilita la identificación temprana de riesgos. Conclusión, se propuso una estrategia integral que combina estas tecnologías con el fin de optimizar la identificación y prevención de riesgos, garantizando un entorno laboral más seguro y saludable para los trabajadores del sector salud.
This research paper addresses the impact that artificial intelligence can have on occupational health management in the health sector, whose general objective is to analyze 4 artificial intelligence in the prevention of occupational diseases in the health sector through early identification of risks and management of occupational health. Identify artificial intelligence tools in the application of occupational disease prevention in the health sector. Describe the innovations and development of artificial intelligence in the identification of risks and control of occupational health within work environments in the health sector. Propose a strategy for early identification and prevention of occupational risks through artificial intelligence in the health area. For the research, an exhaustive documentary review is carried out to diagnose the artificial intelligence tools that can be applied in the prevention of occupational diseases in the health sector. Finally, various technological tools are identified, those most relevant to the prevention of occupational diseases were identified, such as wearable devices, which allow real-time monitoring of workers' health, artificial vision systems and predictive data analysis, which facilitates early identification of risks. In conclusion, a comprehensive strategy was proposed that combines these technologies in order to optimize the identification and prevention of risks, guaranteeing a safer and healthier work environment for health sector workers.
This research paper addresses the impact that artificial intelligence can have on occupational health management in the health sector, whose general objective is to analyze 4 artificial intelligence in the prevention of occupational diseases in the health sector through early identification of risks and management of occupational health. Identify artificial intelligence tools in the application of occupational disease prevention in the health sector. Describe the innovations and development of artificial intelligence in the identification of risks and control of occupational health within work environments in the health sector. Propose a strategy for early identification and prevention of occupational risks through artificial intelligence in the health area. For the research, an exhaustive documentary review is carried out to diagnose the artificial intelligence tools that can be applied in the prevention of occupational diseases in the health sector. Finally, various technological tools are identified, those most relevant to the prevention of occupational diseases were identified, such as wearable devices, which allow real-time monitoring of workers' health, artificial vision systems and predictive data analysis, which facilitates early identification of risks. In conclusion, a comprehensive strategy was proposed that combines these technologies in order to optimize the identification and prevention of risks, guaranteeing a safer and healthier work environment for health sector workers.
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Palabras clave
Enfermedades, Riesgos, Salud, Trabajo, Inteligencia artificial (IA)
