Abstract TP250: Reducing Treatment Time in Acute Ischemic Stroke by Utilizing a Kaizen Model

Autor: Amre Nouh, Ilene Staff, Dawn Beland, Mohamad Fayad, Martin Ollenschleger, Jussie Lima, Lincoln Abbott
Rok vydání: 2020
Předmět:
Zdroj: Stroke. 51
ISSN: 1524-4628
0039-2499
DOI: 10.1161/str.51.suppl_1.tp250
Popis: Introduction: Treating patients suspect of acute stroke requires efficient multidisciplinary teamwork in order to provide appropriate care. Several “Lean Management” methods have been applied in a variety of healthcare settings. Kaizen, meaning “improvement” in Japanese is a tool which emphasizes empowerment of employees on creating value streams to identify and reduce wastes, synchronize work flow processes, manage variability, and devise communication and sustainability plans. We report on the use of this methodology to improve our acute stroke care metrics. Objective: To optimize the management of the acute stroke patient flow process from the emergency department ED to destination therapy by applying the Kaizen methods. Methodes: This is a quality improvement project designed to evaluate the efficiency of the new workflow model for acute stroke that was put into place June 2018 at Hartford Hospital. A 5 day event spent involving all stakeholders from patient registration to destination treatment (IV or mechanical thrombolytic therapy) were conducted. During this event, a time work flow process for the management of suspected stroke patients was identified and an appropriate plan was formulated to reduce times. The following parameters were utilized: Door to CT scanner time (DTCT), Door to drug (IV-tPA) (DTD), and Door to mechanical thrombectomy puncture time (DTP). We included all stroke patients presenting to the ED and treated at our institution 6 months prior and post implementation. A non-parametric analysis was utilized. Results: A total of 135 patients were included in this analysis, 60 prior and 75 post Kaizen. Improvement across all parameters was observed post Kaizen with an average reduction time of DTCT 5 min, DTD 5min, and DTP 22min. The median times pre-Kaizen were; DCT 14min IQR 6-27, DTD 55min IQR 43.5-77.5, and DTP 128min IQR 88-151. The median times post-Kaizen were; DTCT 9min IQR 6-23, DTD 50.5min IQR 37-64, and DTP 106 min IQR 83.5-141.5. Conclusion: By utilizing the Kaizen, we identified numerous opportunities to reduce variability, standardize workflow processes, and ultimately reduce all parameter times. As time is brain, reducing pretreatment times favorably impacts patients’ outcomes and reduces morbidity in stroke.
Databáze: OpenAIRE
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