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Related Experiment Video

Updated: Jun 14, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

Decreasing extremes in patient waiting time.

Lynn J Groome¹, E J Mayeaux

¹Department of Obstetrics and Gynecology, Louisiana State University Health Sciences Center, Shreveport, LA 71130, USA. lgroom@lsuhsc.edu

Quality Management in Health Care

|March 31, 2010

Summary

Implementing statistical process control and root cause analysis significantly reduced excessive patient wait times in an outpatient clinic. While improvements were made, achieving large, sustained reductions in wait times remained challenging.

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Last Updated: Jun 14, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

Area of Science:

Healthcare Management
Operations Research
Quality Improvement

Background:

Excessive patient wait times are a significant challenge in outpatient settings.
A conceptual framework is proposed to address prolonged patient delays.
Statistical process control and root cause analysis are key components of the framework.

Purpose of the Study:

To evaluate the effectiveness of a framework for reducing patient wait times in an outpatient clinic.
To identify specific causes of delays using root cause analysis.
To improve overall clinic system performance by minimizing identified delay factors.

Main Methods:

A prospective study was conducted in a private outpatient clinic specializing in high-risk obstetrical care.
Data was collected over a baseline period (55 clinic sessions) and an intervention period (101 clinic sessions).
Statistical process control and root cause analysis were employed to identify and address delay factors.

Main Results:

Prolonged waiting times occurred in 16.4% of baseline sessions.
Root causes identified included appointment scheduling, physician tardiness, and patient complexity.
Intervention led to a significant reduction in prolonged wait times (16.4% to 4.9%, P = .037) and mean wait time (32.7 to 29.3 minutes, P < .001).

Conclusions:

The methodology successfully identified and reduced factors contributing to prolonged patient wait times.
System operation improved, marked by a decrease in excessive clinic delays.
Achieving substantial and sustained reductions in patient wait times presented ongoing challenges.