RESUMO
In this work, some ideas are presented to use ChatGPT in PRL such as: analyze the history of accidents and risks, supervise real -time job security, provide detailed information on the use of hazardous equipment, make risk simulations, among others . The article highlights the benefits of ChatGPT, such as its accessibility, consistency, efficiency, flexibility, customization and ability to identify patterns and trends. However, some limitations and challenges are also mentioned, such as the need for human supervision, precise data dependence and ethical and privacy concerns. The article concludes that ChatGPT can be a valuable tool for the prevention of occupational hazards, but must be used in combination with other techniques and tools for effective risk prevention. In addition, the importance of considering the social and ethical impacts of technology and of promoting diversity and competition in the artificial intelligence market stands out.
En este trabajo, se presentan ideas para utilizar CHATGPT en PRL como pueden ser: analizar el historial de accidentes y riesgos, supervisar la seguridad laboral en tiempo real, proporcionar información detallada sobre el uso de equipos peligrosos, realizar simulaciones de riesgos, entre otras. El artículo destaca los beneficios de CHATGPT, como su accesibilidad, consistencia, eficiencia, flexibilidad, personalización y capacidad para identificar patrones y tendencias. Sin embargo, también se mencionan algunas limitaciones y desafíos, como la necesidad de supervisión humana, la dependencia de datos precisos y las preocupaciones éticas y de privacidad. El artículo concluye que CHATGPT puede ser una herramienta valiosa para la prevención de riesgos laborales, pero debe ser utilizada en combinación con otras técnicas y herramientas para una prevención efectiva de riesgos. Además, se destaca la importancia de considerar los impactos sociales y éticos de la tecnología y de fomentar la diversidad y la competencia en el mercado de la inteligencia artificial.
RESUMO
The construction industry has high accident rates. The sector is exploring various tools to improve safety management, training, and awareness to achieve zero accidents. This work focuses on extended reality (XR), which encompasses virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies. Several authors have developed training experiences for construction safety in XR environments with positive conclusions about their effectiveness. However, there is no standardization regarding the evaluation methods used in the sector, and many experiences do not use any method. This lack is critical, as whenever the aim is to evaluate the degree of awareness of security issues, the implementation of evaluation systems is indispensable to make known the methods used in the literature to evaluate the effectiveness of the experiences and represent support for future research. This research identifies developments in XR experiences and analyzes the validation methods through a systematic review using the PRISMA methodology. It identifies two evaluation methods, objective and subjective, which are each broken down into four categories. The results show the types of evaluation, safety-related purposes, and safety application objectives used by the database classification.
Assuntos
Realidade Aumentada , Indústria da Construção , Realidade Virtual , Indústria da Construção/educação , Gestão da SegurançaRESUMO
In the Valencia Autonomous Community, the fight against the pandemic, in the workplace, has been articulated around joint action between the occupational health services and the Valencian public health system, promoted and coordinated by Public Health. There was experience in similar activities, but a great effort has been required in external and internal coordination, in adapting activities and information systems. Occupational risk prevention services have played an important role in the epidemiological surveillance and control of COVID-19 in companies and are also participating in vaccination. Only in the period September-December 2020, they received 67,239 cases of workers for contact studies, reported 3,059 confirmed cases and 1,206 suspected cases, determined 8,118 close work contacts and made 9,854 reports of leave due to special sensitivity. The Mutual for work-related injury and occupational disease insurance, which collaborated by vaccinating private health professionals in non-hospital centers, have declared 33,247 doses of vaccines administered.Part of the experience, the main activities carried out in the work environment, the joint work and some results are described.
En la Comunitat Valenciana la lucha contra la pandemia, en el ámbito laboral, se ha articulado alrededor de la actuación conjunta entre los servicios de salud en el trabajo y el sistema sanitario público valenciano, impulsada y coordinada desde Salud Pública. Se disponía de experiencia en actividades similares, pero ha sido necesario un gran esfuerzo de coordinación externa e interna, de adaptación de las actividades y de los sistemas de información. Los servicios de prevención de riesgos laborales han desempeñado un importante papel en la vigilancia epidemiológica y control de la COVID-19 en las empresas y además están participando en la vacunación. Solo en el periodo septiembre-diciembre de 2020 recibieron 67.239 casos de trabajadores para estudio de contactos, notificaron 3.059 casos confirmados y 1.206 casos de sospecha, determinaron 8.118 contactos laborales estrechos e hicieron 9.854 informes de baja por especial sensibilidad. Las Mutuas, que colaboraron vacunando a los profesionales de la sanidad privada de los centros no hospitalarios, han declarado 33.247 dosis de vacunas administradas. Se describe parte de la experiencia, las principales actividades realizadas en el entorno laboral, el trabajo conjunto y algunos resultados.
