About the Journal
The European Heart Journal – Digital Health (EHJ-DH) is an official, international, peer-reviewed journal of the European Society of Cardiology (ESC), with a specific focus on digital health in cardiovascular medicine, connecting physicians, researchers, and allied health professionals. The Journal advances excellence in digital health through the publication of high-quality original research, reviews, points of view, images and short reports. The Journal also provides continuing education in digital health topics through its teaching series.
Issues published per year: 6
Articles available: online only
Access: fully open access
| Metric | Current EHJ-DH Score | Current EHJ-DH Rank |
|---|---|---|
| Total citations in year (2023)1 | 567 | - |
| Journal Citation Indicator (JCI)1 | 0.9 | 56 /222 in Cardiac & Cardiovascular Systems |
| Immediacy Index1 | 1.7 | - |
| Journal Impact Factor1 | 4.0 | 49 / 222 in Cardiac & Cardiovascular Systems |
| 5-year Impact Factor1 | 4.0 | - |
| Eigenfactor1 | 0.002 | - |
| Scopus CiteScore2 | 5.0 | 120 / 387 in Cardiology and Cardiovascular Medicine |
| Source Normalized Impact per Paper (SNIP)2 | 0.959 | - |
Last updated: October 2024; Sources: (1) 2023 Journal Citation Reports™ (Clarivate, 2024), (2) CiteScore™ 2023 (Scopus, 2024)
Objectives of the Journal
- To advocate research and education in the field of digital health in cardiology
- To stimulate communication between key stakeholders, including researchers, health care providers, hospitals and patients
- To characterize the conditions for further implementation of digital health in daily cardiovascular clinical practice
- To champion digital health modifications that are beneficial to healthcare systems
- To foster debate and anticipate trends on important digital health issues
- To provide continuing education within the field of digital health cardiovascular care
Research areas published in this Journal
The Journal will consider manuscripts on topics including (but not limited to):
- Artificial intelligence
- Big data
- Clinical decision support
- Computer simulation
- Computer-assisted analysis
- Cybersecurity
- Deep learning
- Digital twin
- Electronic medical record
- In-Silico medicine
- Interoperability
- Machine learning
- Mobile apps
- Patient engagement
- Personalized health
- Precision medicine
- Regulatory affairs
- Remote consultation
- Signal processing
- Social media
- Software design
- System integration
- Virtual- and mixed- reality
- Virtual physiologic patient
