OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of the American Medical Informatics Association is 35. 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 2021-09-01 to 2025-09-01.)

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	284
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction	142
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus	133
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare	121
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care	87
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions	75
All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block	72
The added value of text from Dutch general practitioner notes in predictive modeling	71
A framework for understanding label leakage in machine learning for health care	69
Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications	68
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping	68
Challenges using electronic health records to support unhealthy alcohol use screening and intervention in primary care practices in the Pacific Northwest	65
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records	65
Designing visual hierarchies for the communication of health data	64
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks	63
What did you do to avoid the climate disaster? A call to arms for health informatics	60
Identifying family structures from obituaries and matching them to patients in an electronic heath record	55
Association between state payment parity policies and telehealth usage at community health centers during COVID-19	52
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation	47
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes	45
Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology	43
Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis	43
The ongoing French BaMaRa-BNDMR cohort: implementation and deployment of a nationwide information system on rare disease	39
Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach	39
Clickbusters letter response	38

Comparing penalization methods for linear models on large observational health data	38
Foundational domains and competencies for baccalaureate health informatics education	38
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization	38
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease	37
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records	37
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network	37
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model	36
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care	36
The incremental design of a machine learning framework for medical records processing	36
Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system	35
Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events	35