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使用电子病历系统评估放疗科的绩效指标

Assessment of performance indicators of a radiotherapy department using an electronic medical record system.

作者信息

Bahadur Yasir A, Constantinescu Camelia, Bahadur Ammar Y, Bahadur Ruba Y

机构信息

Department of Radiology, King Abdulaziz University Hospital, Jeddah, Saudi Arabia.

Department of Bio-Medical Physics, King Faisal Specialist Hospital & Research Center, Jeddah, Saudi Arabia.

出版信息

Rep Pract Oncol Radiother. 2017 Sep-Oct;22(5):360-367. doi: 10.1016/j.rpor.2017.06.002. Epub 2017 Jul 21.

DOI:10.1016/j.rpor.2017.06.002
PMID:28761392
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5524303/
Abstract

AIM

To retrospectively assess the performance indicators of our radiotherapy department and their temporal trends, using a commercially available electronic-medical-record (EMR) system.

BACKGROUND

A recent trend in healthcare quality is to define and evaluate performance indicators of the service provided.

MATERIALS AND METHODS

Patient and external-beam-radiotherapy-treatments data were retrieved using the Mosaiq EMR system from 1-January-2012 till 31-December-2015. Annual performance indicators were evaluated as: productivity (number of new cases/year and diagnosis distribution); complexity (ratio of Volumetric-Modulated-Arc-Therapy (VMAT) courses, average number of imaging procedures/patient); and quality (average, median and 90th percentile waiting times from admission to first treatment). The temporal trends of all performance indicators were assessed by linear regression.

RESULTS

Productivity: the number of new cases/year increased with an average rate of 4%. Diagnosis distribution showed that breast is the main pathology treated, followed by gastro-intestinal and head-and-neck. Complexity: the ratio of VMAT courses increased from 13% to 35%, with an average rate of 7% per year. The average number of imaging procedures/patient increased from 8 to 11. Quality: the waiting times from admission to treatment remained stable over time ( ≤ 0.1), with average, median and 90th percentile values around 20, 15, and 31 days, respectively.

CONCLUSIONS

An EMR system can be used to: monitor the performance indicators of a radiotherapy department, identify workflow processes needing attention and improvement, estimate future demands of resources. Temporal analysis of our data showed an increasing trend in productivity and complexity paired with constant waiting times.

摘要

目的

使用商用电子病历(EMR)系统,回顾性评估我们放疗科的绩效指标及其时间趋势。

背景

医疗质量的一个最新趋势是定义和评估所提供服务的绩效指标。

材料与方法

使用Mosaiq EMR系统检索2012年1月1日至2015年12月31日期间的患者和外照射放疗治疗数据。年度绩效指标评估如下:生产率(每年新病例数和诊断分布);复杂性(容积调强弧形放疗(VMAT)疗程比例、每位患者的平均影像检查程序数);以及质量(从入院到首次治疗的平均、中位数和第90百分位数等待时间)。通过线性回归评估所有绩效指标的时间趋势。

结果

生产率:每年新病例数平均以4%的速度增长。诊断分布显示,乳腺是主要治疗的病理类型,其次是胃肠道和头颈部。复杂性:VMAT疗程比例从13%增至35%,平均每年增长7%。每位患者的平均影像检查程序数从8增至11。质量:从入院到治疗的等待时间随时间保持稳定(≤0.1),平均、中位数和第90百分位数分别约为20天、15天和31天。

结论

EMR系统可用于:监测放疗科的绩效指标,识别需要关注和改进的工作流程,估计未来资源需求。对我们数据的时间分析显示,生产率和复杂性呈上升趋势,而等待时间保持不变。

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