Journal of Medical Internet Research

The leading peer-reviewed journal for digital medicine and health and health care in the internet age.

Editor-in-Chief:

Gunther Eysenbach, MD, MPH, FACMI, Founding Editor and Publisher; Adjunct Professor, School of Health Information Science, University of Victoria, Canada

Rachele Hendricks-Sturrup, DHSc, MSc, MA, FACTS, Lead Editor; Research Director of Real-World Evidence, Duke-Margolis Institute for Health Policy, Washington, DC

Impact Factor 6.0 More information about Impact Factor CiteScore 11.7 More information about CiteScore

The Journal of Medical Internet Research (JMIR) is the pioneer open access eHealth journal, and is the flagship journal of JMIR Publications. It is a leading health services and digital health journal globally in terms of quality/visibility (Journal Impact Factor 6.0, Journal Citation Reports 2025 from Clarivate), ranking Q1 in both the 'Medical Informatics' and 'Health Care Sciences & Services' categories, and is also the largest journal in the field. 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.

JMIR is indexed in all major literature indices including National Library of Medicine(NLM)/MEDLINE, Sherpa/Romeo, PubMed, PMC, Scopus, Psycinfo, Clarivate (which includes Web of Science (WoS)/ESCI/SCIE), EBSCO/EBSCO Essentials, DOAJ, GoOA and others. Journal of Medical Internet Research received a Scopus CiteScore of 11.7 (2024), placing it in the 92nd percentile (#12 of 153) as a Q1 journal in the field of Health Informatics. It is a selective journal complemented by almost 30 specialty JMIR sister journals, which have a broader scope, and which together receive over 10,000 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. We publish original research, viewpoints, and reviews (both literature reviews and medical device/technology/app reviews). 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. Authors who have published a protocol in JMIR Research Protocols get a discount of 20% on the Article Processing Fee when publishing a subsequent results paper in any JMIR journal.

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Recent Articles

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals

Patient Experiences With Online Laboratory Test Presentations From Access to Activation: Systematic Review

Federal regulations require that laboratory test results be released to patients through online portals in near–real time, often before clinicians review or contextualize them. While these policies expand transparency and affirm patients’ rights to their health information, access alone does not ensure that patients can make sense of their results or determine when and how to act. How regulatory mandates for transparency translate into appropriate engagement remains poorly understood.

Smartwatch displays brain health score of 87, heart rate 78 bpm.

Mobile Health (mhealth)

Acceptability of Technologies to Support Early Dementia Detection: Qualitative Study With the Boston University Alzheimer’s Disease Center Cohort

Dementia is on the rise globally due to increasing life expectancies and population growth. Digital technologies may help detect early signs, enabling timely interventions to slow or reverse cognitive decline. However, to support the successful implementation of these digital technologies into health care settings, they must be acceptable to target users. Older adults and those with mild cognitive impairment (MCI) are at risk of developing dementia in later life and need to be able to use these technologies in order for this intervention to be approved and implemented in clinical practice.

Woman wearing a face mask indoors, holding a phone and a pillow.

Mobile Health (mhealth)

Understanding mHealth Engagement Among Patients With 30-Day Hospital Revisits: Secondary Analysis of a Randomized Clinical Trial

Reducing 30-day hospital readmissions has been a long-standing goal across health systems in the United States. While nurse-led phone outreach has been widely adopted to support transitional care, its reach is constrained by staffing and time limitations. Mobile health (mHealth) interventions, such as automated SMS text messaging and patient portals, offer scalable alternatives but have shown mixed effectiveness in reducing readmissions. Understanding how patients engage with mHealth after discharge may help optimize these tools for postdischarge care.

News and Perspectives

US Food and Drug Administration Shifts to AI-Enhanced Regulatory Review With Elsa 4.0 and HALO

Man meditating in a cross-legged pose on a yoga mat, wearing a smartwatch.

Mobile Health (mhealth)

Daily Stress and Heart Rate Variability Among Mindfulness Meditation Practitioners: mHealth Observational Study

Mindfulness meditation has been reported to reduce stress and enhance well-being. However, its effects on heart rate variability (HRV)—a physiological marker of stress—remain underexplored.

Portrait of a smiling blonde woman with green eyes wearing a navy turtleneck

News and Perspectives

Meet the New Health Care Gatekeeper: Your Wearable

Woman with dark hair and glasses smiling

News and Perspectives

From Virtual Molecules to Clinical Trials: How AI Is Reshaping Preclinical Drug Discovery

Close-up portrait of a smiling man with short, dark curly hair against a blue background.

News and Perspectives

Remote Patient Monitoring Is Scaling Without a Clear Organizational Model: Insights From the Netherlands

Laptop displaying a funnel graphic filtering colorful abstract shapes, symbolizing data processing.

Research Letter

Evaluating the Potential of Reasoning Large Language Models to Perpetuate Racial and Gender Disease Stereotypes in Health Care

This evaluation of 36,000 clinical vignettes found that next-generation reasoning large language models, o3-mini and DeepSeek-R1, frequently perpetuate racial and gender stereotypes for common medical conditions, indicating that advancements in reasoning do not inherently improve representational fairness.

Man and cat observe futuristic holographic display of AI and medical data

Generative Language Models Including ChatGPT

Adaptive Fast-Slow Large Language Model Framework for Multidimensional Classification of Prenatal Ultrasound Reports: Comparative Study

Phenotype-driven prenatal diagnosis relies on the precise correlation between ultrasound findings and genetic outcomes; however, this process is hindered by the unstructured nature of clinical ultrasound reports. While large language models (LLMs) hold the potential to address this challenge, their specific application in this domain remains systematically underexplored.