Evaluation of AI-assisted chart review for acute myocardial infarction and cardiogenic shock

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Utilizing Percutaneous Ventricular Assist Devices in Acute Myocardial Infarction Complicated by Cardiogenic Shock
06:10

Utilizing Percutaneous Ventricular Assist Devices in Acute Myocardial Infarction Complicated by Cardiogenic Shock

Published on: June 12, 2021

Karoline Korsholm Jeppesen1,2, Rasmus Bo Lindhardt2,3, Anika Klein4

  • 1Department of Cardiology, Odense University Hospital.

Danish Medical Journal
|May 7, 2026
PubMed

Insights

AI-assisted chart review significantly speeds up patient screening for acute myocardial infarction complicated by cardiogenic shock (AMICS) registries. This artificial intelligence tool maintains diagnostic accuracy while reducing manual review time.

Area of Science:

  • Cardiology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • The Danish RETROSHOCK registry tracks patients with acute myocardial infarction complicated by cardiogenic shock (AMICS).
  • Manual chart review for registry updates is time-consuming.
  • Funding for the RETROSHOCK database is provided by Johnson and Johnson Med Tech and the Novo Nordic Foundation.

Purpose of the Study:

  • To evaluate the efficiency and accuracy of an AI-assisted chart review tool for AMICS patient identification.
  • To compare the time required for AI-assisted versus manual chart review.

Main Methods:

  • A natural language processing AI tool was developed to identify AMICS-related keywords in electronic medical records.
  • Electronic medical records from Odense University Hospital (2018-2022) were screened.
  • AI-assisted screening was compared to manual chart review for time efficiency and diagnostic accuracy (Cohen's kappa).

Main Results:

  • AI-assisted review achieved perfect agreement with manual review (Cohen's kappa = 1).
  • Median inclusion time was reduced from 2:20 minutes (manual) to 1:16 minutes (AI-assisted) (p < 0.001).
  • Median exclusion time decreased from 2:45 minutes (manual) to 0:59 minutes (AI-assisted) (p < 0.001).

Conclusions:

  • AI-assisted chart review significantly reduces screening time for AMICS patient registries.
  • The AI tool maintains high diagnostic accuracy.
  • This technology offers a more efficient method for updating clinical registries.
Abstract

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