Clinical trial design data for electrocardiogram artificial intelligence-guided screening for low ejection fraction (EAGLE)

Xiaoxi Yao; Rozalina G McCoy; Paul A Friedman; Nilay D Shah; Barbara A Barry; Emma M Behnken; Jonathan W Inselman; Zachi I Attia; Peter A Noseworthy

doi:10.1016/j.dib.2019.104894

Clinical trial design data for electrocardiogram artificial intelligence-guided screening for low ejection fraction (EAGLE)

Data Brief. 2019 Nov 27:28:104894. doi: 10.1016/j.dib.2019.104894. eCollection 2020 Feb.

Authors

Xiaoxi Yao^{1

2

3}, Rozalina G McCoy^{1

4}, Paul A Friedman³, Nilay D Shah^{1

2}, Barbara A Barry², Emma M Behnken⁵, Jonathan W Inselman¹, Zachi I Attia³, Peter A Noseworthy³

Affiliations

¹ Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
² Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
³ Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
⁴ Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
⁵ Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA.

Abstract

The article details the materials that will be used in a clinical trial - ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial [1]. It includes a clinician-facing action recommendation report that will translate an artificial intelligence algorithm to routine practice and an alert when a positive screening result is found. This report was developed using a user-centered approach via an iterative process with input from multiple physician groups. Such data can be reused and adapted to translate other artificial intelligence algorithms. This article also includes data collection forms we developed for the clinical trial aiming to evaluate the artificial intelligence algorithm. Such materials can be adapted for other clinical trials.

Keywords: Artificial intelligence; Clinical trial; Electrocardiogram; Heart failure.