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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Digital Health Reviews

The technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT) are widely used to examine health care technology acceptance among older adults. However, existing literature exhibits considerable heterogeneity, making it difficult to determine consistent predictors of acceptance and behavior.

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Telehealth and Telemonitoring

Axial spondyloarthritis (axSpA) is a chronic inflammatory joint disease affecting the spine and sacroiliac joints, requiring frequent, lifelong monitoring and treatment. This involves regular symptom monitoring, assessing medication tolerance and side effects, and prompt therapy adjustments. Typically, patients with axSpA attend prescheduled hospital visits, but once stable disease has been attained, these seldom align with periods of high disease activity. Remote monitoring and patient-initiated care offer flexible, need-based, follow-up options. However, knowledge about how patients with axSpA perceive and experience these approaches is limited. To effectively implement these strategies in clinical practice, understanding patient perspectives is crucial.

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Digital Health Reviews

Parkinson disease (PD) is a common neurodegenerative disease characterized by both motor and nonmotor symptoms. Cognitive impairment often occurs early in the disease and can persist throughout its progression, severely impacting patients’ quality of life. The utilization of machine learning (ML) has recently shown promise in identifying cognitive impairment in patients with PD.

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Mobile Health (mhealth)

Carbohydrate counting (CC) can be burdensome and difficulty with adherence has been reported. Automated CC through mobile apps offers innovative solutions to ease this burden.

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Telehealth and Telemonitoring

The purpose of digital remote monitoring (DRM) is improving cancer care management. However, its effectiveness largely depends on the role of nurse navigators (NNs) within these systems to process data and lead action.

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Demographics of Users, Social & Digital Divide

People with severe mental illness (SMI) face profound health inequalities, which may be exacerbated by increased rates of digital exclusion, especially as health services move to online provision. The activities that people carry out online can affect how they feel about the internet and may determine whether a person has a positive or negative experience when using the internet. This, in turn, could affect their mental health. To support people with SMI in using digital technology and the internet safely, it is important to understand the internet and digital technology use of those with SMI and their perceived positive or negative impact on their mental health.

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Robots in Healthcare

Interest in integrating robotics within intensive care units (ICUs) has been propelled by technological advancements, workforce challenges, and heightened clinical demands, including during the COVID-19 pandemic. The integration of robotics in ICUs could potentially enhance patient care and operational efficiency amid existing challenges faced by health care professionals, including high workload and decision-making complexities.

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Research Letter

In this national study of primary care practice–level factors associated with telehealth adoption in 2022, we found that training and assisting patients with the use of telehealth, broadband expansion efforts, and a higher proportion of low-income patients were associated with higher practice-level telehealth use, suggesting both opportunities for telehealth expansion and potential populations with higher need for its use.

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Preprints Open for Peer-Review

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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