JMIR Medical Informatics

Papers
(The H4-Index of JMIR Medical Informatics is 31. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Effect of Smartphone-Based Messaging on Interns and Nurses at an Academic Medical Center: Observational Study161
Synthetic Tabular Data Generation Under Horizontal Federated Learning Environments in Acute Myeloid Leukemia: Case-Based Simulation Study131
An Ontology-Based Approach to Improving Medication Appropriateness in Older Patients: Algorithm Development and Validation Study103
How People With a Bipolar Disorder Diagnosis Talk About Personal Recovery in Peer Online Support Forums: Corpus Framework Analysis Using the POETIC Framework103
Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese91
Bibliometric Insights Into the Infodemic: Global Research Trends and Policy Responses: Quantitative Research91
Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach84
The Information and Communication Technology Maturity Assessment at Primary Health Care Services Across 9 Provinces in Indonesia: Evaluation Study76
Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review66
Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study66
Creation and Implementation of an Electronic Sexual Assault Record at the Geneva University Hospital  (Preprint)65
The Anemia Risk Warning Model Based on a Noninvasive Method: Key Insights and Clarifications59
One Digital Health Intervention for Monitoring Human and Animal Welfare in Smart Cities: Viewpoint and Use Case57
Assimilation of Medical Appointment Scheduling Systems and Their Impact on the Accessibility of Primary Care: Mixed Methods Study51
Prediction of Spontaneous Breathing Trial Outcome in Critically Ill-Ventilated Patients Using Deep Learning: Development and Verification Study50
Personalized Prediction of Long-Term Renal Function Prognosis Following Nephrectomy Using Interpretable Machine Learning Algorithms: Case-Control Study49
Pandemic-Related Impairment in the Monitoring of Patients With Hypertension and Diabetes and the Development of a Digital Solution for the Community Health Worker: Quasiexperimental and Implementation47
An mHealth-Based Health Management Information System Among Health Workers in Volta and Eastern Regions of Ghana: Pre-Post Comparison Analysis46
Visualizing Knowledge Evolution Trends and Research Hotspots of Personal Health Data Research: Bibliometric Analysis46
Genotype Distribution and Migration Patterns of Hepatitis C Virus in Shandong Province, China: Molecular Epidemiology and Phylogenetic Study45
Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Acute Ischemic Stroke 45
Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study44
Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study42
Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study40
How to Elucidate Consent-Free Research Use of Medical Data: A Case for “Health Data Literacy”39
A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study39
Effect of Uncertainty-Aware AI Models on Pharmacists’ Reaction Time and Decision-Making in a Web-Based Mock Medication Verification Task: Randomized Controlled Trial37
Tempering Expectations on the Medical Artificial Intelligence Revolution: The Medical Trainee Viewpoint33
Interpretable Deep Learning System for Identifying Critical Patients Through the Prediction of Triage Level, Hospitalization, and Length of Stay: Prospective Study33
Health Care Worker Usage of Large-Scale Health Information Exchanges in Japan: User-Level Audit Log Analysis Study33
Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review32
Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study31
Enhancing the Predictions of Cytomegalovirus Infection in Severe Ulcerative Colitis Using a Deep Learning Ensemble Model: Development and Validation Study31
Prediction of Antibiotic Resistance in Patients With a Urinary Tract Infection: Algorithm Development and Validation31
Predicting Metabolic Dysfunction-Associated Fatty Liver Disease Phenotypes among Adults: A Two-Stage Contrastive Learning Method (Preprint)31
Using Electronic Health Records for the Learning Health System: Creation of a Diabetes Research Registry31
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