OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of the American Medical Informatics Association is 33. 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 2021-08-01 to 2025-08-01.)

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	271
Designing visual hierarchies for the communication of health data	132
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes	117
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction	116
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus	76
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare	72
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions	68
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care	68
All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block	66
The added value of text from Dutch general practitioner notes in predictive modeling	64
What did you do to avoid the climate disaster? A call to arms for health informatics	62
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records	60
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping	60
Challenges using electronic health records to support unhealthy alcohol use screening and intervention in primary care practices in the Pacific Northwest	59
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation	56
A framework for understanding label leakage in machine learning for health care	54
Identifying family structures from obituaries and matching them to patients in an electronic heath record	50
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks	47
Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications	43
Association between state payment parity policies and telehealth usage at community health centers during COVID-19	41
Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology	39
Comparing penalization methods for linear models on large observational health data	38
The ongoing French BaMaRa-BNDMR cohort: implementation and deployment of a nationwide information system on rare disease	38
Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis	38
Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach	38

Clickbusters letter response	37
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network	35
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease	35
Foundational domains and competencies for baccalaureate health informatics education	35
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records	34
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care	33
The incremental design of a machine learning framework for medical records processing	33
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model	33