提高穿孔性尾炎分类行政数据的准确性
Martha-Conley Ingram1, Andrew Hu1, Ruth Lewit2
1Division of Pediatric Surgery, Department of Surgery, Northwestern University Feinberg School of Medicine, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois.
The Journal of surgical research
|May 15, 2024
概括
新的算法提高了穿孔性尾炎分类准确度. 使用ICD-10-CM代码和停留时间的数据挖掘方法显著优于研究和公共卫生评估的传统编码.
科学领域:
- 儿科手术 儿科手术
- 医疗信息学 医疗信息学
- 医疗数据分析 医学数据分析
背景情况:
- 国际疾病分类,第十次修订,临床修改 (ICD-10-CM) 代码可能不准确地分类穿孔性尾炎.
- 错误分类对研究,财务评估和公共卫生倡议产生重大影响.
- 提高穿孔尾炎的行政数据的准确性至关重要.
研究的目的:
- 开发和验证算法,以提高行政数据中穿孔性尾炎分类的准确性.
- 将新算法的性能与传统的ICD-10-CM编码方法进行比较.
主要方法:
- 在八家儿童医院对被诊断患有急性尾炎的患者 (≤18岁) 进行了回顾性研究.
- 利用儿科健康信息系统数据和医疗记录审查来确定真正的穿孔状况.
- 开发并比较了利用ICD-10-CM代码和停留时间的两个数据挖掘 (DM) 算法与仅使用ICD-10-CM的算法.
主要成果:
- 在1051个经过验证的遭遇中,有36.4%的人患有穿孔尾炎.
- 使用ICD-10-CM代码和停留时间的DM开发的算法,显示出明显更高的准确性 (P < 0.01).
- DM算法获得了0.86-0.88的灵敏度和0.95-0.97的特异性,超过了ICD-10-CM-only方法.
结论:
- 使用易于获取的行政数据元素的新算法可以提高穿孔性尾炎分类准确度.
- 这种算法被推用于未来的尾炎分类,以确保有效的报告和评估.
- 实施可以加强医院基准测试和财政/公共卫生评估.
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