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1.
BMC Proc ; 14(Suppl 14): 14, 2020 Dec 02.
Artículo en Inglés | MEDLINE | ID: mdl-33292237

RESUMEN

The international CIHLMU Occupational Safety and Health Symposium 2019 was held on 16th March, 2019 at the Ludwig-Maximilians-Universität Munich, Germany. About 60 participants from around the world representing occupational health and safety professionals, students, instructors from several institutions in Germany and abroad, attended the symposium.The main objective of the symposium was to create awareness on global challenges and opportunities in work-related respiratory diseases. One keynote lecture and six presentations were made. While the keynote lecture addressed issues on occupational diseases in the twenty-first century, the six presentations were centered on: Prevention and control of work-related respiratory diseases, considerations; Occupational health and safety in Mining: Respiratory diseases; The prevention of TB among health workers is our collective responsibility; Compensation and prevention of occupational diseases and discussion on how artificial intelligence can support them: Overview of international approaches; Work-related Asthma: Evidence from high-income countries; and The role of imaging in the diagnosis of work- related respiratory diseases. A panel discussion was conducted following the presentations on the importance and challenges of data acquisition which is needed to have a realistic picture of the occupational safety and health status of workers at different levels. The current summary is an attempt to share the proceedings of the symposium.

2.
GMS J Med Educ ; 37(7): Doc92, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-33364371

RESUMEN

The COVID-19 pandemic posed new global challenges for teaching. We met these challenges as an international collaboration by adapting a collection of virtual patients for clinical reasoning training to this novel context.


Asunto(s)
COVID-19/epidemiología , Educación Médica/métodos , Simulación de Paciente , Realidad Virtual , Humanos , Pandemias , SARS-CoV-2
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