Journal of the American Medical Informatics Association

Papers
(The H4-Index of Journal of the American Medical Informatics Association is 43. 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 2022-07-01 to 2026-07-01.)
ArticleCitations
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus276
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping171
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions146
All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block142
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation142
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare127
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks125
Association between state payment parity policies and telehealth usage at community health centers during COVID-19119
Genetic data normalization for genomic medicine: a Fast Healthcare Interoperability Resources Genomics reference implementation111
Challenges using electronic health records to support unhealthy alcohol use screening and intervention in primary care practices in the Pacific Northwest109
Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules90
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care88
“Goldmine” or “big mess”? An interview study on the challenges of designing, operating, and ensuring the durability of Clinical Data Warehouses in France and Belgium85
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records80
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction76
Identifying family structures from obituaries and matching them to patients in an electronic heath record74
What did you do to avoid the climate disaster? A call to arms for health informatics73
Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications72
Designing visual hierarchies for the communication of health data71
Systematic review of foundation models for structured electronic health records69
A framework for understanding label leakage in machine learning for health care64
The added value of text from Dutch general practitioner notes in predictive modeling62
Compliance and factuality of large language models for clinical research document generation62
Identifying key user experience and technical features for sustained use of unguided chatbots for health-related behavior change: a systematic review60
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes59
Clickbusters letter response59
Reply to Layne et al.’s Letter to the Editor55
Tablet distribution to veterans: an opportunity to increase patient portal adoption and use54
Growth curve modeling of virtual events and online engagement in a palliative care peer support online health community for adolescents and young adults54
Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system53
Using automated methods to detect safety problems with health information technology: a scoping review53
Variations in digital health literacy for pediatric caregivers of hospitalized children: implications for digital health equity52
CDEMapper: enhancing National Institutes of Health common data element use with large language models49
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model49
Developing electronic clinical quality measures to assess the cancer diagnostic process47
Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital47
The incremental design of a machine learning framework for medical records processing47
Implementation of a clinical decision support tool for hypertension in a rural health system46
Comparing penalization methods for linear models on large observational health data46
Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis45
Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables44
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care43
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records43
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization43
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease43
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