Reducing Healthcare Costs by Predicting the Spontaneous Termination of Atrial Fibrillation: A Simulation Study

Predicting SCV with an accuracy of 60%-70% in patients presenting with primary AF results in cost savings and reduced hospital bed utilisation through avoiding unnecessary admissions.

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Publication Details

Journal
Heart Lung and Circulation
Published
2025-12-06
DOI
https://doi.org/10.1016/j.hlc.2025.06.1023
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Reducing Healthcare Costs by Predicting the Spontaneous Termination of Atrial Fibrillation: A Simulation Study

Josh T. Goh, Anand N. Ganesan, Taylor Strube, Brandon Wadforth
Heart Lung and Circulation
Atrial Fibrillation Management and Outcomes
article

Reducing Healthcare Costs by Predicting the Spontaneous Termination of Atrial Fibrillation: A Simulation Study

Josh T. Goh, Anand N. Ganesan, Taylor Strube, Brandon Wadforth
article en

Abstract

Predicting SCV with an accuracy of 60%-70% in patients presenting with primary AF results in cost savings and reduced hospital bed utilisation through avoiding unnecessary admissions.

Heart Lung and CirculationVol. 35(2)
Royal Adelaide Hospital (AU), Flinders University (AU), Flinders Medical Centre (AU)
Openalex Percentile: Top 44%
Atrial Fibrillation Management and Outcomes
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