Reduction of Erroneous ST-segment Elevation Myocardial Infarction Diagnoses: A Successful Nurse-led Quality

John Porter1, Aaron B Klassen2, Julie A Chesney3

  • 1Cardiac Catheterization Laboratory.

PubMed

Insights

A nurse-led quality improvement project reduced incorrect ST-segment elevation myocardial infarction diagnoses, a critical heart condition, from 24% to 7%. This initiative enhanced patient safety and improved diagnostic accuracy in electronic health records.

Area of Science:

  • Cardiology
  • Health Informatics
  • Quality Improvement

Background:

  • ST-segment elevation myocardial infarction (STEMI) is a severe acute coronary syndrome with significant health implications.
  • Inaccurate STEMI diagnoses in electronic health records (EHRs) can lead to patient risk via poor assessment and care.
  • An EHR shortcut for emergent cases was identified as a potential cause of diagnostic errors.

Purpose of the Study:

  • To address and reduce erroneous STEMI diagnoses within institutional discharge records.
  • To implement a quality improvement project to correct diagnostic inaccuracies.
  • To minimize disruption to clinical practice while enhancing patient safety.

Main Methods:

  • A retrospective review of EHRs identified diagnostic assignment patterns.
  • A nurse-led quality improvement project utilized the Define, Measure, Analyze, Improve, Control (DMAIC) framework.
  • Interventions focused on correcting the misapplication of EHR shortcuts.

Main Results:

  • The percentage of patients with erroneous STEMI diagnoses decreased significantly from 24% to 7%.
  • Nursing staff satisfaction showed marginal improvement.
  • The project successfully addressed an institutional quality concern regarding diagnostic accuracy.

Conclusions:

  • Nurse-led quality improvement initiatives can effectively reduce diagnostic errors in acute coronary syndrome.
  • Addressing EHR system flaws and involving frontline staff are crucial for successful quality improvement.
  • The project achieved its goal of reducing erroneous discharge diagnoses, improving patient care outcomes.

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