Cardiovascular Digital Health Journal

Cardiovascular Digital Health Journal, a new peer-review, Gold Open Access and bi-monthly journal, is committed to publishing high-quality original clinical and experimental research, review articles, points-of-view, images and short reports contributing to the advancement and adoption of digital technologies in global cardiology and health practice. By bringing together the most important advances in this multidisciplinary field, Cardiovascular Digital Health Journal aims to be a prominent voice and publishing venue in digital health.

Cardiovascular Digital Health Journal publishes original, important, innovative, and practice-changing research on any topic connected with digital health and technology in the field of cardiology. Submissions of quantitative, qualitative, mixed methods, economic and health policy research papers will be considered through a peer-review process. 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.

Content will be available on Science Direct. The journal will apply for indexing in relevant databases including PubMedCentral.

Manuscript Categories
1. Original Clinical or Original Experimental
2. Contemporary Reviews (Solicited and Unsolicited)
3. Point of View
4. Images
5. Short Report
6. Letters to the Editor

Areas of Focus
1. Big Data
2. Clinical and research implementation
3. Clinical trials
4. Innovative Trial Design (MOST, N of 1, etc.)
5. Comparative effectiveness
6. Impact of digital and mobile technologies
7. Behavioral medicine
   1. Health behaviors and digital cardiology
   2. Social media-based studies
   3. Behavioral science AND preventive medicine
8. Genetics and digital medicine
9. Data analytic methodologies & machine learning
10. Meta-analysis
11. New devices/low-cost devices
12. Health information and management systems (e.g. EMR, decision support)
13. Bias and diversity in AI models
14. Robotic and AI
15. Biomedical sensors
16. Implementation science and pragmatic trials
17. Longitudinal monitoring, screening and detection
18. Personalized health
19. Signal processing
20. Virtual healthcare and telemedicine
21. Augmented, virtual and mixed reality
22. Cybersecurity of medical devices
23. Health policy and public health