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改善患者服务质量和护士满意度的门诊化疗替代排班方法。

Alternative Outpatient Chemotherapy Scheduling Method to Improve Patient Service Quality and Nurse Satisfaction.

机构信息

Mayo Clinic, Rochester; Mayo Clinic, Mankato, MN; Mayo Clinic, Phoenix, AZ; Mayo Clinic, Jacksonville, FL.

出版信息

J Oncol Pract. 2018 Feb;14(2):e82-e91. doi: 10.1200/JOP.2017.025510. Epub 2017 Dec 22.

Abstract

INTRODUCTION

Optimal scheduling and calendar management in an outpatient chemotherapy unit is a complex process that is driven by a need to focus on safety while accommodating a high degree of variability. Primary constraints are infusion times, staffing resources, chair availability, and unit hours.

METHODS

We undertook a process to analyze our existing management models across multiple practice settings in our health care system, then developed a model to optimize safety and efficiency. The model was tested in one of the community chemotherapy units. We assessed staffing violations as measured by nurse-to-patient ratios throughout the workday and at key points during treatment. Staffing violations were tracked before and after the implementation of the new model.

RESULTS

The new model reduced staffing violations by nearly 50% and required fewer chairs to treat the same number of patients for the selected clinic day. Actual implementation results indicated that the new model leveled the distribution of patients across the workday with an 18% reduction in maximum chair utilization and a 27% reduction in staffing violations. Subsequently, a positive impact on peak pharmacy workload reduced delays by as much as 35 minutes. Nursing staff satisfaction with the new model was positive.

CONCLUSION

We conclude that the proposed optimization approach with regard to nursing resource assignment and workload balance throughout a day effectively improves patient service quality and staff satisfaction.

摘要

简介

优化门诊化疗单元的排班和日程管理是一个复杂的过程,需要在关注安全的同时,适应高度的可变性。主要限制因素包括输液时间、人员配置资源、椅子可用性和单位时间。

方法

我们对我们医疗系统中多个实践环境下的现有管理模式进行了分析,然后开发了一种优化安全性和效率的模型。该模型在我们的一个社区化疗单元进行了测试。我们评估了整个工作日和治疗关键时期的护士与患者比例来衡量人员配置违规情况。在实施新模型之前和之后,我们都对人员配置违规情况进行了跟踪。

结果

新模型将人员配置违规情况减少了近 50%,并减少了治疗相同数量患者所需的椅子数量。实际实施结果表明,新模型通过将患者在整个工作日内均匀分布,将最大椅子利用率降低了 18%,人员配置违规情况降低了 27%。随后,对高峰药房工作量的积极影响将延迟减少了多达 35 分钟。护理人员对新模式的满意度很高。

结论

我们得出结论,在全天分配护理资源和平衡工作量方面提出的优化方法可以有效地提高患者服务质量和员工满意度。

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