Standardization of Clinic Flow to Improve Patient Experience in a Student-Run Free Clinic

Neal Modi, Pranav Nandan
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Abstract

The Saint Louis University Health Resource Center, a student-run free clinic, has seen a rapid expansion in both the number of services supplied by the clinic and the number of patients seen at clinic. While we are excited to serve more patients, the increase in volume has resulted in increased wait times and clinic throughput, the most frequent complaint of patients. To combat these growing concerns, we standardized the route patients take through the services the clinic provides and embedded this flow into a new statusboard that automatically logs the amount of time patients spend with each service and in the clinic overall. This information feeds directly into a process map of the clinic that better visualizes clinic processes. The utilization of a standardized statusboard resulted in a significant 12 minute and 44 second reduction in the median time patients spend in clinic and identified key decision points where bottlenecks occur in clinic flow. It also resulted in a statistically significant improvement in patent satisfaction. Our results demonstrate that standardizing clinic flow via an automated statusboard improves clinic efficiency, reduces throughput time, and can also significantly improve patient satisfaction. The resulting process map can also identify areas needing intervention and opportunities to continue expanding. As we continue to gather data on where clinic patients are spending the most time, we will continue to optimize services to provide the best experience possible for our patients.
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标准化诊疗流程,改善学生开办的免费诊所的患者体验
圣路易斯大学健康资源中心是一个由学生经营的免费诊所,诊所提供的服务数量和就诊人数都在迅速增加。虽然我们很高兴能为更多的病人提供服务,但病人数量的增加导致了等候时间和门诊量的增加,这也是病人最常抱怨的问题。为了解决这些日益严重的问题,我们规范了患者在诊所就诊的路线,并将这一流程嵌入到一个新的状态板中,该状态板可自动记录患者在每项服务和整个诊所所花费的时间。这些信息直接输入诊所的流程图,使诊所流程更加直观。使用标准化状态板后,患者在门诊花费的中位时间大幅缩短了 12 分 44 秒,并确定了门诊流程中出现瓶颈的关键决策点。此外,专利满意度也有了显著提高。我们的研究结果表明,通过自动状态板对门诊流程进行标准化可以提高门诊效率,减少吞吐时间,还能显著提高患者满意度。由此产生的流程图还能确定需要干预的领域和继续扩展的机会。随着我们不断收集有关诊所患者花费时间最多的领域的数据,我们将继续优化服务,尽可能为患者提供最佳体验。
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