A multicenter pragmatic implementation study of AI-ECG-based clinical decision support software to identify low LVEF: Clinical trial design and methods.

Journal: American heart journal plus : cardiology research and practice
Published Date: Mar 21, 2025

Abstract

BACKGROUND: Artificial intelligence (AI) enabled algorithms can detect or predict cardiovascular conditions using electrocardiogram (ECG) data. Clinical studies have evaluated ECG-AI algorithms, including a recent single-center study which evaluated outcomes when clinicians were provided with ECG-AI results. A Multicenter Pragmatic IMplementation Study of ECG-AI-Based Clinical Decision Support Software to Identify Low LVEF (AIM ECG-AI) will evaluate clinical impacts of clinical decision support software (CDSS) integrated within the electronic health record (EHR) to provide point-of-care ECG-AI results to clinicians during routine outpatient care.

Authors

  • Francisco Lopez-Jimenez
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Heather M Alger
    Anumana, Inc., Cambridge, MA, United States of America.
  • Zachi I Attia
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Barbara Barry
    Kern Center Mayo Clinic, Rochester, MN, USA.
  • Ranee Chatterjee
    Duke University School of Medicine, Durham, NC, United States of America.
  • Rowena Dolor
    Duke University School of Medicine, Durham, NC, United States of America.
  • Paul A Friedman
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Stephen J Greene
    Division of Cardiology, Duke University School of Medicine, Durham, NC, USA.
  • Jason Greenwood
    Mayo Clinic, Rochester, MN, United States of America.
  • Vinay Gundurao
    Anumana, Inc., Cambridge, MA, United States of America.
  • Sarah Hackett
    Anumana, Inc., Cambridge, MA, United States of America.
  • Prerak Jain
    Anumana, Inc., Cambridge, MA, United States of America.
  • Anja Kinaszczuk
    Department of Family Medicine, Mayo Clinic, Jacksonville, Florida (Kinaszczuk, Clapp, Olutola).
  • Ketan Mehta
    Anumana, Inc., Cambridge, MA, United States of America.
  • Jason O'Grady
    Mayo Clinic, Rochester, MN, United States of America.
  • Ambarish Pandey
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Christopher Pullins
    Mayo Clinic Arrowhead, AZ, United States of America.
  • Arjun R Puranik
    Anumana, Inc., Cambridge, MA, United States of America.
  • Mohan Krishna Ranganathan
    Anumana, Inc., Cambridge, MA, United States of America.
  • David Rushlow
    Department of Family Medicine, Mayo Clinic, Rochester, MN, USA.
  • Mark Stampehl
    Novartis Pharmaceuticals Corp, East Hanover, NJ, United States of America.
  • Vinayak Subramanian
    UT Southwestern Medical Center, Dallas, TX, United States of America.
  • Kitzner Vassor
    Anumana, Inc., Cambridge, MA, United States of America.
  • Xuan Zhu
    Language Computing Lab, Samsung R&D Institute of China - Beijing (SRC-B), Beijing, China.
  • Samir Awasthi
    Anumana, Inc., Cambridge, MA, United States of America.

Keywords

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