Application of Lean Six Sigma for patients presenting with ST-elevation myocardial infarction: the Hamilton Health

Ayad Aldarrab1

  • 1Royal College Residency Training Program, McMaster University, Hamilton, Ontario. Edarrab@hotmail.com

Insights

This study introduces a quality improvement model using Lean Six Sigma to speed up the recognition of acute myocardial infarction (AMI) in busy emergency departments (EDs). This aims to reduce deaths from AMI, a leading cause of mortality.

Area of Science:

  • Emergency Medicine
  • Healthcare Quality Improvement
  • Cardiology

Background:

  • Acute myocardial infarction (AMI) is a primary cause of death globally.
  • Emergency departments (EDs) are the main entry point for patients experiencing symptomatic AMI.
  • ED overcrowding is a significant barrier to the timely recognition of AMI.

Purpose of the Study:

  • To present a novel quality improvement model for clinical settings.
  • To apply Lean Six Sigma principles to enhance the recognition of AMI in the ED.
  • To address the challenge of ED overcrowding impacting patient care for AMI.

Main Methods:

  • The study proposes a quality improvement model.
  • The model integrates Lean Six Sigma guidelines.
  • Application is focused on the clinical environment of the emergency department.

Main Results:

  • A framework for applying Lean Six Sigma in an ED setting is detailed.
  • The model is designed to improve the efficiency of AMI recognition.
  • Potential impact on reducing delays in AMI diagnosis and treatment is discussed.

Conclusions:

  • Lean Six Sigma offers a structured approach to tackle ED overcrowding.
  • Implementing this model can potentially improve early detection of AMI.
  • This quality improvement strategy may contribute to reducing mortality from AMI.

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