通过使用数据可视化技术,加强韩国放射学工作者辐射暴露数据的传播
1Department of Radiological Science, Research Institute of Health Statistics, Jeonju University, Jeonju, Republic of Korea.
PloS one
|May 5, 2025
概括
数据可视化技术,如雷达图表和盒子图表,可以提高放射学工作人员对辐射暴露数据的理解. 这提高了安全管理,使复杂的趋势可供非专家访问.
科学领域:
- 职业健康和安全问题 职业健康和安全问题
- 数据科学和分析数据科学和分析
- 辐射保护 辐射保护
背景情况:
- 对辐射暴露数据的有效沟通对于放射性工人安全至关重要.
- 传统的表格形式阻碍了对复杂的暴露模式和趋势的解释.
- 非专家经常难以根据传统数据报告中提供的信息采取行动.
研究的目的:
- 评估各种数据可视化技术在提高对辐射暴露数据的理解方面的有效性.
- 展示可视化如何突出不同专业,人口和地理群体的暴露差异.
- 探索可视化的潜力,以简化复杂的数据集,以便做出明智的决策.
主要方法:
- 数据可视化技术的应用,包括雷达图,盒子图,火花线和切诺夫面.
- 利用韩国疾病控制和预防局 (KDCA) "2022年放射学工作者个人暴露剂量年度报告"的数据集.
- 分析的重点是识别辐射暴露数据中的模式和差异.
主要成果:
- 可视化方法有效地简化了复杂的辐射暴露数据.
- 职业,人口群体和地理区域之间的暴露差异明显突出.
- 观察到,利益相关者对数据的可访问性和理解性有所提高.
结论:
- 数据可视化显著改善了放射学工作人员对辐射暴露数据的沟通和理解.
- 可视化技术为识别趋势和告知安全管理实践提供了强大的工具.
- 未来的研究应该包括初级数据和先进的分析,以更深入地了解辐射暴露因果关系.
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