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


Impact Factor 5.8 CiteScore 14.4

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™ 5.8 (Clarivate, 2024)), 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, PMCScopus, Psycinfo, Clarivate (which includes Web of Science (WoS)/ESCI/SCIE), EBSCO/EBSCO Essentials, DOAJ, GoOA and others. The Journal of Medical Internet Research received a CiteScore of 14.4, placing it in the 95th percentile (#7 of 138) 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.

Be a widely cited leader in the digital health revolution and submit your paper today!

Recent Articles

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E-Health Policy and Health Systems Innovation

The health care sector faces increasing pressure, with demand outpacing supply and multiple challenges in accessibility, affordability, and quality. The current organization of health care systems is unsustainable—exacerbated by labor shortages and escalating expenditures in Europe, particularly the Netherlands. To address these issues, hospitals are increasingly adopting digital transformation strategies. This digital transformation involves the systematic implementation of digital technologies and processes. To achieve high-quality hybrid care, hospitals must integrate digital health care seamlessly into existing workflows. However, there is no definitive strategy for implementing these transformations.

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Recruitment of Research Participants

Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are genetically mediated life-threatening reactions that in adults are usually caused by a medication. These genetic associations promise an opportunity for pre-prescription screening, prevention, and understanding influences at a population level. Importantly, older adults disproportionally face more severe SJS/TEN reactions and higher mortality rates. However, the study of genetic risk and long-term sequelae of SJS/TEN across racially diverse populations and age groups, is hampered by many factors, including rarity, social disparities, and trust in healthcare and providers, which impact access to hospital and clinic-based research studies.

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Digital Health Reviews

Mobile health apps (MHAs) are increasingly used in modern health care provision. The technology acceptance model (TAM) is the most widely used framework for predicting health care technology acceptance. Since the advent of this model in 1989, technology has made generational advancements, and extensions of this model have been implemented.

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e-Learning and Digital Medical Education

Global health activities (GHAs) can potentially reduce health disparities by facilitating resource sharing, promoting medical education and professional development worldwide, and enhancing collaboration among high-income countries (HICs) and low- and middle-income countries (LMICs). However, the COVID-19 pandemic disrupted in-person GHAs due to strict infection control and travel restrictions. To ensure the continuity of GHAs and further address health inequity, virtual GHAs (VGHAs) are gaining traction.

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Digital Health Reviews

The increasing prevalence of poor mental and physical health in adults is a global health concern. Given the scope of this problem, scalable and effective treatment interventions are needed. While podcasts (online digital audio files) are becoming more popular, the extent of podcast use in mental, physical, or combined health interventions has not been reviewed.

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Telehealth and Telemonitoring

Pharmaceutical care has expanded, with telehealth playing a key role, especially during the COVID-19 pandemic. Despite global growth, existing reviews focus on specific settings or conditions, highlighting the need for broader research on public health topics and comparative studies to evaluate the effectiveness, preferences, and cost of telehealth interventions in pharmacy practice.

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Generative Language Models Including ChatGPT

Knee osteoarthritis is a prevalent, chronic musculoskeletal disorder that impairs mobility and quality of life. Personalized patient education aims to improve self-management and adherence; yet, its delivery is often limited by time constraints, clinician workload, and the heterogeneity of patient needs. Recent advances in large language models offer potential solutions. GPT-4 (OpenAI), distinguished by its long-context reasoning and adoption in clinical artificial intelligence research, emerged as a leading candidate for personalized health communication. However, its application in generating condition-specific educational guidance remains underexplored, and concerns about misinformation, personalization limits, and ethical oversight remain.

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Clinical Information and Decision Making

Poor data transfer and interoperability between electronic health record (EHR) systems has been a challenge hindering availability and usability of patient information in clinical practice and evidence-based decision-making. To improve data transfer and interoperability, patient information should be documented in a structured format. This also applies to medication-related patient information and results of the interventions, such as medication reviews (MRs), to individually optimize medication regimens, especially in older adults.

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Artificial Intelligence

Several potentially modifiable risk factors are associated with subjective cognitive decline (SCD). However, developmental patterns of these risk factors have not been used before to forecast later SCD. Practical tools for the prevention of cognitive decline are needed.

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New Methods

Early detection is clinically crucial for the strategic handling of sarcopenia, yet the screening process, which includes assessments of muscle mass, strength, and function, remains complex and difficult to access.

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Digital Health Reviews

Obesity is a growing public health concern worldwide, significantly contributing to premature mortality and noncommunicable diseases. Weight reduction through lifestyle interventions, including diet and physical activity, is the primary approach to combating obesity, with studies showing that a 5% to 10% reduction in body weight can notably reduce obesity-related complications. Recently, smartphone apps have emerged as popular tools to aid in weight loss. However, the effectiveness of smartphone-only apps for weight management in people with overweight or obesity without comorbidities remains unclear.

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Digital Health Reviews

Worldwide, 30%-45% of adults have sleep disorders, which are linked to major health issues such as diabetes and cardiovascular disease. Long-term monitoring with traditional in-lab testing is impractical due to high costs. Wearable artificial intelligence (AI)–powered solutions offer accessible, scalable, and continuous monitoring, improving the identification and treatment of sleep problems.

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Preprints Open for Peer-Review

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Open Peer Review Period:

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We are working in partnership with

  • Crossref Member

  • Committee on Publication Ethics

  • Open Access

  • Open Access Scholarly Publishers Association

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  • TrendMD MemberORCID Member

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This journal is indexed in

 
  • PubMed

  • PubMed CentralMEDLINE

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  • DOAJCINAHL (EBSCO)PsycInfoSherpa RomeoEBSCO/EBSCO Essentials

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  • Web of Science - SCIE

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