Impact Factor
4.45
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
8.10
2,194 total citations
h5-index
62
h5 depth signal
Cited share
86.4%
248 of 287
Total citations
2,194
Citation footprint
Metric signal
8.89
External metric anchor
Self-citation
2.7%
59 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
575
China
511
South Korea
166
Germany
129
United Kingdom
121
Citing Fields of Research
AI & Machine Learning
820
Health Education & Remote Healthcare
758
Patient Care
541
Medical Ethics
374
Respiratory Support
134
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
2,151
Articles tracked across the journal lifetime
Indexed publication set
287
248 cited publications
Last 12 months
422
35.2 publications/month
Open access share
100.0%
422 OA publications in the last year
Leading citing country
United States
575 citing publications
Leading citing field
AI & Machine Learning
820 citing publications
Latest tracked publication
16 October 2026
10 recent records available
Coverage & Indexing History
v12, 2024-
v1n1, 2013-
Active Coverage
Research Focus & Classification
Indexed Subjects
AI & Machine Learning
Health Education & Remote Healthcare
Patient Care
Medical Ethics
Issuing & Sponsoring Bodies
publisher
JMIR Publications
Broad Categories
Medical Informatics
MeSH Descriptors
Medical Informatics
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.2196/94586
Open DOI
Three Ambient Listening Systems in Simulated Dutch-Language Multispeaker and Multidialect Clinical Encounters: Comparative Study
Background: Clinicians spend a lot of time on electronic health record (EHR) documentation, often at the expense of direct patient interaction. Ambient listening technology uses AI to passively record and summarize clinical encounters. A...
02
DOI 10.2196/78080
Open DOI
Construction of an AI-Assisted Pedigree Mapping System for Hereditary Gynecological Tumors: Algorithm Development and Pilot Validation Study
Background: Pedigree mapping serves as the first step in genetic counseling. Traditional methods relying on manual pedigree drawing and information collection are inefficient and prone to errors. Objective: This study aimed to design an ...
03
DOI 10.2196/97372
Open DOI
A Machine Learning Framework for Predicting Functional Status and Estimating Health Care Costs in Pulmonary Arterial Hypertension: Retrospective Cohort Study
Background: Pulmonary arterial hypertension (PAH) is a rare and progressive disease associated with substantial clinical heterogeneity and high health care costs. While machine learning (ML) has been increasingly applied to predict clini...
04
Background: Clinical Quality Language (CQL) and Fast Healthcare Interoperability Resources (FHIR) support executable electronic clinical quality measures. Translating national claims–based indicators into CQL remains challenging because ...
05
DOI 10.2196/75737
Open DOI
Open-Source Anatomical Illustration for Digital Back Pain Documentation: Development and Feasibility Evaluation
Background: Accurate documentation of back pain is essential for effective diagnosis and treatment; however, conventional paper-based methods often lack precision and standardization, limiting their clinical utility. Digital pain drawing...
06
DOI 10.2196/89957
Open DOI
Optimizing Clinical Temporal Relation Extraction With Large Language Models: Comparative Analysis
Background: Clinical temporal relation extraction (CTRE) is essential for reconstructing patient timelines from unstructured electronic health records (EHRs). However, the linguistic complexity of clinical notes and the high cost of expe...
07
DOI 10.2196/95417
Open DOI
Large Language Model–Assisted Review of Clinical Trial Informed Consent for Data Reuse: Retrieval-Augmented Generation Approach
Background: Regulatory frameworks such as the Belmont Report, the Common Rule, and the Declaration of Helsinki require informed consent to ensure participants understand a study’s purpose and can make voluntary decisions about their invo...
08
DOI 10.2196/94769
Open DOI
Concept-Aware Learning Framework for Detecting Common Symptoms in Social Media Text: Model Development and Evaluation Study
Background: Social media offers valuable information for public health surveillance, but detecting valid symptom expressions in noisy and informal text remains challenging. Fine-tuned language models can achieve strong test accuracy whil...
09
DOI 10.2196/96515
Open DOI
Support-Seeking After Market Withdrawal of a Purpose-Built AI Well-Being Tool (Ash): Cross-Sectional Survey
Background: Purpose-built AI well-being tools—designed with clinical safeguards for everyday emotional difficulties such as stress, grief, and relationship conflict—represent a growing category of digital mental health support. When such...
10
DOI 10.2196/77654
Open DOI
Interpretable Machine Learning–Derived Nomogram Model to Predict Population Health Literacy: Cross-Sectional Development and Validation Study
Background: Health literacy (HL) is a major factor associated with population health. However, no visualized predictive model has been developed to identify populations with low HL in a cost-effective manner. Objective: This study aims t...
Bibliographical & Catalog Notes
Issue for Volume 1 (2013), Issue 1 also called: Inaugural issue.
Articles are added continuously to the current semiannual volume.