OOIR: Observatory of International Research

Papers

(The H4-Index of JMIR Medical Informatics is 33. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Utilization Barriers and Medical Outcomes Commensurate With the Use of Telehealth Among Older Adults: Systematic Review	154
Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review	120
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach	102
The Role of Health Technology and Informatics in a Global Public Health Emergency: Practices and Implications From the COVID-19 Pandemic	100
Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review	96
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study	86
Applying Blockchain Technology to Address the Crisis of Trust During the COVID-19 Pandemic	82
The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities	82
Using Information Technology to Manage the COVID-19 Pandemic: Development of a Technical Framework Based on Practical Experience in China	74
Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing	66
AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records	62
Blockchain-Based Digital Contact Tracing Apps for COVID-19 Pandemic Management: Issues, Challenges, Solutions, and Future Directions	62
Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model	55
Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development	54
Comparison of Multivariable Logistic Regression and Other Machine Learning Algorithms for Prognostic Prediction Studies in Pregnancy Care: Systematic Review and Meta-Analysis	53
Returning to a Normal Life via COVID-19 Vaccines in the United States: A Large-scale Agent-Based Simulation Study	52
Appropriateness of Overridden Alerts in Computerized Physician Order Entry: Systematic Review	50
Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review	48
Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study	47
Growth of Ambulatory Virtual Visits and Differential Use by Patient Sociodemographics at One Urban Academic Medical Center During the COVID-19 Pandemic: Retrospective Analysis	47
Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review	46
Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study	45
Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches	42
A Hematologist-Level Deep Learning Algorithm (BMSNet) for Assessing the Morphologies of Single Nuclear Balls in Bone Marrow Smears: Algorithm Development	39
Artificial Intelligence–Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study	39

Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach	39
Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study	36
Physicians’ Attitudes Toward Telemedicine Consultations During the COVID-19 Pandemic: Cross-sectional Study	36
Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation	35
Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study	35
Assessing the Performance of Clinical Natural Language Processing Systems: Development of an Evaluation Methodology	34
The Use of Artificial Intelligence–Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations	34
Nationwide Results of COVID-19 Contact Tracing in South Korea: Individual Participant Data From an Epidemiological Survey	34
Using Machine Learning Technologies in Pressure Injury Management: Systematic Review	33