Cardiovascular Digital Health Journal
The Heart Rhythm Society and its publishing partner, Elsevier, are pleased to announce the launch of the Cardiovascular Digital Health Journal.
The Cardiovascular Digital Health Journal is a new peer-review, open-access journal. This new publication will focus on the rapidly emerging field of digital medicine across all areas of cardiology. We serve the global digital health, clinical, and wider health communities in the entire field of cardiology by promoting high-quality science and supporting the ethical use of technologies and data in practice.
It publishes original, important, innovative, and practice-changing research in the areas of artificial intelligence, signal processing, monitoring, wearables, implantable devices/sensors, biometric analysis, disease detection, data analytics, and other relevant topics.
Submissions of quantitative, qualitative, mixed methods, economic, and health policy research papers will be considered through a peer-review process.
The Cardiovascular Digital Health Journal will be published every other month. The Inaugural issue will be published on August 26, 2020.
Submit Your Manuscript
The Cardiovascular Digital Health Journal is now accepting papers. Please submit via the Editorial Manager System by clicking the 'Submit Now' button.
About the Cardiovascular Digital Health Journal
- Manuscript Categories
- Full Length Articles - Original Clinical or Original Experimental
- Contemporary Reviews (Solicited and Unsolicited)
- Study Designs/Research Methods
- Case Reports
- Short Reports
- Letters to the Editor
- Editorial Commentary
Details about the requirements for each category are available in the Authors' Guide.
- Areas of Focus
- Big Data
- Clinical and research implementation
- Clinical trials
- Innovative Trial Design (MOST, N of 1, etc)
- Comparative Effectiveness
- Impact of digital and mobile technologies
- Biomedical Informatics
- Behavioral medicine
i) Health Behaviors, and digital cardiology
ii)Social Media based Studies
iii)Behavioral Science AND preventive Medicine
- Genetics and Digital Medicine
- Data analytic methodologies & machine learning
- New Device/Low cost Devices
- Health information and management systems (e.g. EMR, decision support)
- Bias and diversity in AI models
- Robotic and AI
- Biomedical Sensors
- Implementation science and pragmatic trials
- Longitudinal monitoring, screening and detection
- Personalized health
- Signal processing
- Virtual healthcare and telemedicine
- Augmented, virtual and mixed reality
- Cybersecurity of medical devices
- Health policy and public health
- Big Data
Publishing Charge Discounts
The Cardiovascular Digital Health Journal is an open-access journal with no subscription charges. An Article Publishing Charge (APC) is payable by the author or research funder if the manuscript is accepted to cover the costs associated with publication. This ensures the article will be immediately and permanently free to access by everyone. The Article Publishing Charge for this Journal is USD $2,800, excluding taxes.
- For articles submitted between February 24, 2020, and January 1, 2021, there is a 50% introduction discount;
- For articles submitted between January 2, 2021, and January 2, 2022, there is a 25% introduction discount;
- From January 2022 solely HRS members receive a discount.
Cardiovascular Digital Health Journal Editorial Board
David D. McManus, MD, MSci, FHRS, FACC, FAHA from the University of Massachusetts, will serve as the founding Editor-in-Chief of the Cardiovascular Digital Health Journal.
Belinda Borrelli, PhD
Center for Behavioral Science Research, Boston University’s Mobile & Electronic Health-ARC
Boston University, Boston, MA
Ki Chon, PhD
Biomedical Engineering Department
University of Connecticut, Storrs, CT
Hamid Ghanbari, MD
University of Michigan, Ann Arbor, MI
Nassir F. Marrouche, MD, FHRS
Tulane University School of Medicine, New Orleans, LA
Suneet Mittal, MD, FHRS
Electrophysiology & Cardiology
The Valley Hospital, Ridgewood, NJ
Pradeep Natarajan, MD, MMSc
Preventive Cardiology, Massachusetts General Hospital
Harvard Medical School, Broad Institute of Harvard & MIT, Boston MA
Zachi Itzhak Attia, MSEE
Artificial Intelligence in Cardiology
Mayo Clinic, Rochester, MN
Honghuang Lin, PhD
Medicine Computational Biomedicine
Boston University, Boston, MA
Jomol Mathew, PhD
University of Wisconsin School of Medicine and Public Health, Madison, WI
David J. Slotwiner, MD, FHRS
Division of Cardiology
New York Presbyterian Queens
Weill Cornell Medical College School of Health Policy & Research, New York, NY
Paul D. Varosy, MD, FHRS
VAECHCS/University of Colorado, Denver, CO