最大化回报:通过六西格玛应用优化生物化学实验室性能,在印度实验室进行为期一年的成本效益研究
Mohini Rathore1, Dharamveer Yadav1, Mithu Banerjee1
1Biochemistry Department, All India Institute of Medical Sciences (AIIMS) Jodhpur, India.
EJIFCC
|June 30, 2025
概括
在临床实验室质量控制 (QC) 中实施六西格玛方法大大降低了成本. 这种方法优化了试剂的使用,并最大限度地减少了浪费,从而大大节省了资金,提高了实验室操作的效率.
科学领域:
- 临床实验室科学 临床实验室科学
- 质量管理系统 质量管理系统
- 医疗保健经济学 医疗经济学
背景情况:
- 质量控制 (QC) 验证对于临床实验室质量管理至关重要.
- 当前的质量控制实践往往导致过度的试剂和资源消耗.
- 在保持高质量的结果的同时,优化资源利用是一个关键的挑战.
研究的目的:
- 使用六西格玛方法分析实施有效的质量控制程序的成本效益.
- 量化优化质量控制策略所带来的财务效益.
- 减少临床实验室测试中的资源支出.
主要方法:
- 在一年内对23个常规化学参数进行了六西格玛计算.
- 使用Biorad Unity 2.0软件应用了Westgard的新西格玛规则.
- 在实施新西格玛规则之前和之后比较质量控制性能,分析错误率和成本.
主要成果:
- 通过结合内部和外部故障成本,实现了INR 750,105.27的绝对年度节约.
- 降低了50%的内部故障成本 (INR 501,808.08) 和47%的外部故障成本 (INR 187,102.8).
- 根据样本数量和每天的质量控制操作,节省的成本有所不同.
结论:
- 临床实验室质量控制技术的仔细规划可以大幅降低成本.
- 实施六西格玛方法有效降低内部和外部故障成本.
- 优化的质量控制策略增强了预防和评估成本规划活动.
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