Journal of the American Medical Informatics Association

Papers
(The H4-Index of Journal of the American Medical Informatics Association is 51. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus383
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping288
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation282
All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block189
Genetic data normalization for genomic medicine: a Fast Healthcare Interoperability Resources Genomics reference implementation174
Challenges using electronic health records to support unhealthy alcohol use screening and intervention in primary care practices in the Pacific Northwest160
Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules157
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care155
“Goldmine” or “big mess”? An interview study on the challenges of designing, operating, and ensuring the durability of Clinical Data Warehouses in France and Belgium154
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records135
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction134
Designing visual hierarchies for the communication of health data130
Identifying key user experience and technical features for sustained use of unguided chatbots for health-related behavior change: a systematic review126
Systematic review of foundation models for structured electronic health records126
The added value of text from Dutch general practitioner notes in predictive modeling125
What did you do to avoid the climate disaster? A call to arms for health informatics122
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare115
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions115
Identifying family structures from obituaries and matching them to patients in an electronic heath record98
Compliance and factuality of large language models for clinical research document generation95
Characterization and Validation of EHR Computable Phenotypes for Long COVID Using Patient-Reported Symptoms: Insights from the Nationwide RECOVER Program89
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes89
A framework for understanding label leakage in machine learning for health care87
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks79
Clickbusters letter response78
Reply to Layne et al.’s Letter to the Editor76
Tablet distribution to veterans: an opportunity to increase patient portal adoption and use75
Growth curve modeling of virtual events and online engagement in a palliative care peer support online health community for adolescents and young adults74
CDEMapper: enhancing National Institutes of Health common data element use with large language models73
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model69
Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital68
Implementation of a clinical decision support tool for hypertension in a rural health system67
Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis65
Comparing penalization methods for linear models on large observational health data64
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records64
Letter to the editors in response to “Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency”63
Foundational domains and competencies for baccalaureate health informatics education63
Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology61
Association of physician burnout with perceived EHR work stress and potentially actionable factors59
Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach59
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease59
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care58
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization57
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network57
Variations in digital health literacy for pediatric caregivers of hospitalized children: implications for digital health equity56
The incremental design of a machine learning framework for medical records processing54
Developing electronic clinical quality measures to assess the cancer diagnostic process54
Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system54
Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events53
Using automated methods to detect safety problems with health information technology: a scoping review52
Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables51
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