OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of the American Medical Informatics Association is 29. 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 2021-06-01 to 2025-06-01.)

Article	Citations
“Goldmine” or “big mess”? An interview study on the challenges of designing, operating, and ensuring the durability of Clinical Data Warehouses in France and Belgium	247
Designing visual hierarchies for the communication of health data	110
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation	106
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes	92
All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block	66
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus	62
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction	62
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care	61
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare	60
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions	58
The added value of text from Dutch general practitioner notes in predictive modeling	52
What did you do to avoid the climate disaster? A call to arms for health informatics	50
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks	50
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records	47
A framework for understanding label leakage in machine learning for health care	45
Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications	41
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping	40
Association between state payment parity policies and telehealth usage at community health centers during COVID-19	39
Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology	37
Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis	37
The ongoing French BaMaRa-BNDMR cohort: implementation and deployment of a nationwide information system on rare disease	37
Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events	35
CDEMapper: enhancing National Institutes of Health common data element use with large language models	35
Foundational domains and competencies for baccalaureate health informatics education	34
Clickbusters letter response	34

Growth curve modeling of virtual events and online engagement in a palliative care peer support online health community for adolescents and young adults	32
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network	32
Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables	31
Variations in digital health literacy for pediatric caregivers of hospitalized children: implications for digital health equity	30
Developing electronic clinical quality measures to assess the cancer diagnostic process	29
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease	29