The leading peer-reviewed journal for digital medicine and health and health care in the internet age. The journal is ranked 1 on Google Scholar in the 'Medical Informatics' discipline. The journal focuses on emerging technologies, medical devices, apps, engineering, telehealth and informatics applications for patient education, prevention, population health and clinical care. It is a selective journal complemented by almost 30 specialty JMIR sister journals , which have a broader scope, and which together receive over 10, submissions a year.
As an open access journal, we are read by clinicians, allied health professionals, informal caregivers, and patients alike, and have as with all JMIR journals a focus on readable and applied science reporting the design and evaluation of health innovations and emerging technologies.
Peer-review reports are portable across JMIR journals and papers can be transferred, so authors save time by not having to resubmit a paper to a different journal but can simply transfer it between journals. We are also a leader in participatory and open science approaches, and offer the option to publish new submissions immediately as preprints , which receive DOIs for immediate citation eg, in grant proposals , and for open peer-review purposes.
We also invite patients to participate eg, as peer-reviewers and have patient representatives on editorial boards. As all JMIR journals, the journal encourages Open Science principles and strongly encourages publication of a protocol before data collection.
Be a widely cited leader in the digital health revolution and submit your paper today! Data sharing plays a crucial role in health informatics, contributing to improving health information systems, enhancing operational efficiency, informing policy and decision-making, and advancing public health surveillance including disease tracking. Sharing individual participant data in public, environmental, and occupational health trials can help improve public trust and support by enhancing transparent reporting and reproducibility of research findings.
