Journal of the American Medical Informatics Association

Papers
(The H4-Index of Journal of the American Medical Informatics Association is 47. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus362
“Goldmine” or “big mess”? An interview study on the challenges of designing, operating, and ensuring the durability of Clinical Data Warehouses in France and Belgium246
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping241
Designing visual hierarchies for the communication of health data136
What did you do to avoid the climate disaster? A call to arms for health informatics134
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation128
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions128
All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block125
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare118
The added value of text from Dutch general practitioner notes in predictive modeling114
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks107
Systematic review of foundation models for structured electronic health records106
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records104
Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications102
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction98
Identifying family structures from obituaries and matching them to patients in an electronic heath record93
Challenges using electronic health records to support unhealthy alcohol use screening and intervention in primary care practices in the Pacific Northwest92
Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules86
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes83
A framework for understanding label leakage in machine learning for health care75
Genetic data normalization for genomic medicine: a Fast Healthcare Interoperability Resources Genomics reference implementation72
Association between state payment parity policies and telehealth usage at community health centers during COVID-1972
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care72
Compliance and factuality of large language models for clinical research document generation66
Identifying key user experience and technical features for sustained use of unguided chatbots for health-related behavior change: a systematic review66
Letter to the editors in response to “Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency”65
Clickbusters letter response65
Reply to Layne et al.’s Letter to the Editor64
Comparing penalization methods for linear models on large observational health data61
CDEMapper: enhancing National Institutes of Health common data element use with large language models60
Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system59
Growth curve modeling of virtual events and online engagement in a palliative care peer support online health community for adolescents and young adults58
Using automated methods to detect safety problems with health information technology: a scoping review57
Tablet distribution to veterans: an opportunity to increase patient portal adoption and use54
Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events53
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care52
Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital51
The incremental design of a machine learning framework for medical records processing51
Developing electronic clinical quality measures to assess the cancer diagnostic process50
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records49
Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables49
Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology48
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model48
Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach48
Variations in digital health literacy for pediatric caregivers of hospitalized children: implications for digital health equity47
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease47
Implementation of a clinical decision support tool for hypertension in a rural health system47
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network47
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