Analysis on occupational health risk assessment methods
10.20001/j.issn.2095-2619.20240401
- VernacularTitle:职业健康风险评估方法论析
- Author:
Shijie HU
1
Author Information
1. Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, Guangdong 510300, China
- Publication Type:Journal Article
- Keywords:
Occupational health;
Risk assessment;
Identification;
Information collection;
Causation;
Mathematical model
- From:
China Occupational Medicine
2024;51(2):121-128
- CountryChina
- Language:Chinese
-
Abstract:
Occupational health risk assessment is a legal requirement. In legal terms, "occupational health risk assessment" is a means which focuses on occupational disease monitoring and special investigations, analyzing relevant information collected, and ultimately identifying high-risk industries and regions, and proposing reasonable, feasible, and scientific risk management and control recommendations to reduce occupational health risks in key industries and regions. The collection and selection of information are the foundation and core of occupational health risk assessment work. Causation determination is an important basis for information classification in occupational health risk assessment. The establishment and application of mathematical models are the prospects and directions for high-quality development of occupational health risk assessment work. However, the current research does not pay adequate attention on mathematical models for occupational health risk assessment methods, resulting in no substantial progression or improvement in occupational health risk assessment work. The key to future occupational health risk assessment work is to accurately grasp the definition of occupational health risk assessment in a legal term, to streamline and improve the indicator system of occupational health risk assessment, to actively explore and apply mathematical models for occupational health risk assessment, and to enhance the efficiency and accuracy of occupational health risk assessment work.
