基于经过验证的行政数据,用于慢性疾病的ICD-10算法:系统性审查.
Angela Kuang1, Claire Xu1, Danielle A Southern2
1Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada.
这次审查发现了许多使用国际疾病分类第10修订版 (ICD-10) 来识别卫生行政数据中的慢性疾病的验证算法. 这些算法对于全球的研究和公共卫生监测至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 使用卫生行政数据准确识别慢性疾病对于研究和监测至关重要.
- 需要验证的算法来确保来自行政来源的数据的可靠性.
结论:
- 这一系统性审查提供了对慢性病的经过验证的ICD-10基于算法的最新资源.
- 这些发现支持在全球范围内利用行政健康数据的研究和监测计划中使用这些算法.
- ICD-10编码的普及使这些验证方法的全球应用更加容易.
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