Journal of the American Medical Informatics Association

Papers
(The median citation count of Journal of the American Medical Informatics Association is 5. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus369
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping259
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions248
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation156
All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block138
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare135
The added value of text from Dutch general practitioner notes in predictive modeling132
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks131
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records124
Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications118
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction114
Identifying family structures from obituaries and matching them to patients in an electronic heath record113
What did you do to avoid the climate disaster? A call to arms for health informatics110
Association between state payment parity policies and telehealth usage at community health centers during COVID-19108
A framework for understanding label leakage in machine learning for health care105
Genetic data normalization for genomic medicine: a Fast Healthcare Interoperability Resources Genomics reference implementation104
Challenges using electronic health records to support unhealthy alcohol use screening and intervention in primary care practices in the Pacific Northwest95
Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules87
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes85
Compliance and factuality of large language models for clinical research document generation83
Identifying key user experience and technical features for sustained use of unguided chatbots for health-related behavior change: a systematic review77
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care75
Designing visual hierarchies for the communication of health data74
“Goldmine” or “big mess”? An interview study on the challenges of designing, operating, and ensuring the durability of Clinical Data Warehouses in France and Belgium74
Clickbusters letter response70
Systematic review of foundation models for structured electronic health records70
Letter to the editors in response to “Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency”68
Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach67
Reply to Layne et al.’s Letter to the Editor67
Tablet distribution to veterans: an opportunity to increase patient portal adoption and use62
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network61
Growth curve modeling of virtual events and online engagement in a palliative care peer support online health community for adolescents and young adults61
Using automated methods to detect safety problems with health information technology: a scoping review58
Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system57
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care56
Variations in digital health literacy for pediatric caregivers of hospitalized children: implications for digital health equity55
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model55
CDEMapper: enhancing National Institutes of Health common data element use with large language models54
The incremental design of a machine learning framework for medical records processing52
Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology52
Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital52
Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events51
Comparing penalization methods for linear models on large observational health data51
Developing electronic clinical quality measures to assess the cancer diagnostic process51
Foundational domains and competencies for baccalaureate health informatics education50
Implementation of a clinical decision support tool for hypertension in a rural health system49
Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables48
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease48
Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis48
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records47
Association of physician burnout with perceived EHR work stress and potentially actionable factors47
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization47
Can large language models provide secondary reliable opinion on treatment options for dermatological diseases?45
Returning value to the community through the All of Us Research Program Data Sandbox model45
A communication-efficient federated learning algorithm to assess racial disparities in post-transplantation survival time45
Comparative effectiveness of generic commercial versus locally customized clinical decision support tools to reduce prescription of nonsteroidal anti-inflammatory drugs for patients with heart failure44
Learning competing risks across multiple hospitals: one-shot distributed algorithms44
Clinical decision support malfunctions related to medication routes: a case series43
Characterizing variability of electronic health record-driven phenotype definitions43
AMIA’s code of professional and ethical conduct 202243
JAMIA at 30: looking back and forward42
From use cases to infrastructure: a cross-institutional survey of priorities in data-driven biomedical research42
Digital interventions for antimicrobial prescribing and monitoring: a qualitative meta-synthesis of factors influencing user acceptance42
AI in health: keeping the human in the loop41
Impact of announced wait time information on emergency department overcrowding mitigation: a simulation study41
Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use41
Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading41
High-performance automated abstract screening with large language model ensembles40
Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification40
Exploring home healthcare clinicians’ needs for using clinical decision support systems for early risk warning40
Patient and researcher stakeholder preferences for use of electronic health record data: a qualitative study to guide the design and development of a platform to honor patient preferences39
Deploying a national clinical text processing infrastructure38
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes38
Constructing knowledge: the role of AI in medical learning37
Equity implications of extended reality technologies for health and procedural anxiety: a systematic review and implementation-focused framework37
Bridging the gap in author names: building an enhanced author name dataset for biomedical literature system37
myAURA : a personalized health library for epilepsy management via knowledge graph sparsification and visualization37
Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing37
Automatically pre-screening patients for the rare disease aromatic l-amino acid decarboxylase deficiency using knowledge engineering, natural language processing, and machine learning on a 37
Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory37
Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank37
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data37
Correction to: Association between state payment parity policies and telehealth usage at community health centers during COVID-1936
Variation in pediatric and adolescent electronic health data sharing practices under the 21st Century Cures Act36
Informatics innovation to provide return of value to participant communities in the All of Us Research Program36
Dobbs and the future of health data privacy for patients and healthcare organizations36
Knowledge infrastructure: a priority to accelerate workflow automation in health care35
The value of parental medical records for the prediction of diabetes and cardiovascular disease: a novel method for generating and incorporating family histories35
A standards-based approach to digital health research: implementing the people heart study34
Transfer-learning on federated observational healthcare data for prediction models using Bayesian sparse logistic regression with informed priors34
Seeing things the same way: perspectives and lessons learned from research-design collaborations34
A call for better validation of opioid overdose risk algorithms34
Acute myocardial infarction prognosis prediction with reliable and interpretable artificial intelligence system34
Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning34
Real world performance of the 21st Century Cures Act population-level application programming interface33
Supporting clinical reasoning through visual summarization and presentation of patient data: a systematic review33
Targeted messaging to improve the adoption of clinical decision support for prescription drug monitoring program use33
Digital interdependence: impact of work spillover during clinical team handoffs33
21st Century Cures Act: ethical recommendations for new patient-facing products32
Diagnostic accuracy differences in detecting wound maceration between humans and artificial intelligence: the role of human expertise revisited31
Toward digital twins in the intensive care unit: a medication management case study31
Do patients who read visit notes on the patient portal have a higher rate of “loop closure” on diagnostic tests and referrals in primary care? A retrospective cohort study31
Disparities in seizure outcomes revealed by large language models31
Using electronic health record audit log data for research: insights from early efforts30
PMC-LLaMA: toward building open-source language models for medicine30
Leveraging explainable artificial intelligence to optimize clinical decision support30
The substance-exposed birthing person-infant/child dyad and health information exchange in the United States30
A span-based model for extracting overlapping PICO entities from randomized controlled trial publications30
Life events extraction from healthcare notes for veteran acute suicide risk prediction30
Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic30
Enabling inclusive systematic reviews: incorporating preprint articles with large language model-driven evaluations29
Perspectives on the role of industry in informatics research and authorship29
Correction to: De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository29
Computational simulation of the potential improvement in clinical outcomes of cardiovascular diseases with the use of a personalized predictive medicine approach28
Evaluating the validity of the nursing statements algorithmically generated based on the International Classifications of Nursing Practice for respiratory nursing care using large language models28
Derivation and validation of an algorithm for maternal–child linkage in electronic health records28
Automated detection of stigmatizing language in Electronic Health Records (EHRs) using a multi-stage transfer learning approach28
A novel hyperparameter search approach for accuracy and simplicity in disease prediction risk scoring28
Development of a robust corpus for automated evaluation of online health information in Chinese using the DISCERN scale28
Envisioning the future of primary care: intervention strategies to support patient-centered communication feedback technology28
Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features27
Keeping synthetic patients on track: feedback mechanisms to mitigate performance drift in longitudinal health data simulation27
Transport-based transfer learning on Electronic Health Records: application to detection of treatment disparities27
SNOMED CT entity linking challenge27
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports27
Electronic health record “gag clauses” and the prevalence of screenshots in peer-reviewed literature27
Communicating research findings as a return of value to All of Us Research Program participants: insights from staff at Federally Qualified Health Centers27
Translating evidence into practice: adapting TrialGPT for real-world clinical trial eligibility screening27
VIEWER: an extensible visual analytics framework for enhancing mental healthcare26
Human-Large Language Model collaboration for systematic ontology updates: a case study in the domain of dietary lifestyle26
Evidence-based medicine on FHIR augments the standards-based approach to digital health research26
Correction to: Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes26
Current methods for analyzing time-series patient-generated health data to assess treatment response: a scoping review26
Patient attitudes toward ambient artificial intelligence scribes in clinical care: insights from a cross-sectional study25
Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI25
Harnessing the potential of large language models in medical education: promise and pitfalls25
Promoting interoperability between SNOMED CT and ICD-11: lessons learned from the pilot project mapping between SNOMED CT and the ICD-11 Foundation25
LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction25
Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research25
Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures25
Large language models for biomedicine: foundations, opportunities, challenges, and best practices25
Optimising pain identification in resource-limited emergency departments using transfer learning and fine-tuned language models25
A marker-based neural network system for extracting social determinants of health25
Prediction of postoperative infections by strategic data imputation and explainable machine learning24
Utilization patterns and efficiency gains from use of a fully EHR-integrated COVID-19 self-triage and self-scheduling tool: a retrospective analysis24
Leveraging large language models to foster equity in healthcare24
Electronic patient-reported outcome measures for triaging and scheduling outpatient appointments: a systematic review and meta-analysis24
Large language models accurately identify immunosuppression in intensive care unit patients24
Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture24
Partnering with patients and families living with chronic conditions to coproduce diagnostic safety through OurDX: a previsit online engagement tool24
Equitable community-based participatory research engagement with communities of color drives All of Us Wisconsin genomic research priorities24
Development of electronic health record based algorithms to identify individuals with diabetic retinopathy24
Enterprise-wide simultaneous deployment of ambient scribe technology: lessons learned from an academic health system24
Correction to: In with the old, in with the new: machine learning for time to event biomedical research24
Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies23
LCD benchmark: long clinical document benchmark on mortality prediction for language models23
Impact of artificial intelligence on pathologists’ decisions: an experiment23
Generating colloquial radiology reports with large language models23
Markov modeling for cost-effectiveness using federated health data network22
Integrating human-centered design in public health data dashboards: lessons from the development of a data dashboard of sexually transmitted infections in New York State22
Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency22
Search still matters: information retrieval in the era of generative AI22
Comprehension, utility, and preferences of prostate cancer survivors for visual timelines of patient-reported outcomes co-designed for limited graph literacy: meters and emojis over comics22
Contextualizing key principles to promote a justice-oriented informatics research agenda: proceedings and reflections from an American Medical Informatics Association workshop22
Predictive performance precision analysis in medicine: identification of low-confidence predictions at patient and profile levels (MED3pa I)21
Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review21
Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model21
Assessing health literacy and diversity within the All of Us Research Program21
Selective prediction for extracting unstructured clinical data21
CPGPrompt: translating clinical guidelines into large language model-executable decision support21
“I don’t think it should take you three days to tell me my baby is dead.” A case of fetal demise: unintended consequences of immediate release of information21
The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change21
BioInstruct: instruction tuning of large language models for biomedical natural language processing21
Machine learning based prediction of medication adherence in heart failure using large electronic health record cohort with linkages to pharmacy-fill and neighborhood-level data21
Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys20
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety20
Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review20
Visualizing machine learning-based predictions of postpartum depression risk for lay audiences20
Do electronic health record systems “dumb down” clinicians?20
An exploratory analysis of SNOMED CT national editions20
NutriRAG: unleashing the power of large language models for food identification and classification through retrieval methods20
Does it save me money? The economic impact of mobile health interventions on medical expenditure of diabetic patients20
Use of calibration to improve the precision of estimates obtained from All of Us data20
Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research20
PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis20
Dynamic prediction of work status for workers with occupational injuries: assessing the value of longitudinal observations20
Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records19
Assessing the impact of privacy-preserving record linkage on record overlap and patient demographic and clinical characteristics in PCORnet®, the National Patient-Centered Clinical Research Network19
Combining uncertainty-aware predictive modeling and a bedtimeSmart Snackintervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections19
A scoping review of models to identify transgender patients in electronic health records19
Trading-off privacy and utility: the Washington State experience assessing the performance of a public health digital exposure notification system for coronavirus disease 201919
Evaluation of the impact of defining observable time in real-world data on outcome incidence19
Translating and evaluating historic phenotyping algorithms using SNOMED CT18
A randomized controlled trial of generic and localized MedlinePlus-based information resources for hard-to-reach urban Hispanic community18
The impact of the COVID-19 pandemic on daily rhythms18
Safety risks and workflow implications associated with nursing-related free-text communication orders18
Methodologies and key considerations for implementing the International Classification of Diseases-11th revision morbidity coding: insights from a national pilot study in China18
Translating innovation into payment: A.I. reimbursement in U.S. health care18
Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond18
Mapping the delineation of practice to the AMIA foundational domains for applied health informatics18
Applying anti-racist approaches to informatics: a new lens on traditional frames18
The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review18
Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort18
Community engagement in the development of health-related data visualizations: a scoping review17
The Potential Implications of Informatics for Value-Based Bare17
Deep sequential neural network models improve stratification of suicide attempt risk among US veterans17
Implementation and impact of an electronic patient reported outcomes system in a phase II multi-site adaptive platform clinical trial for early-stage breast cancer17
A novel approach to patient portal activation data to power equity improvements17
National COVID Cohort Collaborative data enhancements: a path for expanding common data models17
Exploring approaches to computational representation and classification of user-generated meal logs17
Information extraction from clinical notes: are we ready to switch to large language models?17
CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs17
Establishing and implementing a responsible artificial intelligence framework: a 1-year review17
Hillclimb-Causal Inference: a data-driven approach to identify causal pathways among parental behaviors, genetic risk, and externalizing behaviors in children17
Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach17
A perspective on individualized treatment effects estimation from time-series health data17
VACtrac: enhancing access immunization registry data for population outreach using the Bulk Fast Healthcare Interoperable Resource (FHIR) protocol16
Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework16
Generating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software16
Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction16
Automated deidentification of radiology reports combining transformer and “hide in plain sight” rule-based methods16
To the editor of JAMIA16
A national survey of digital health company experiences with electronic health record application programming interfaces16
Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden16
A messaging standard for environmental inspections: is it time?16
Beyond the individual15
A call for the informatics community to define priority practice and research areas at the intersection of climate and health: report from 2023 mini-summit15
In vitro to in vivo translation of artificial intelligence for clinical use: screening for acute coronary syndrome to identify ST-elevation myocardial infarction15
A question-answering framework for automated abstract screening using large language models15
Distilling large language models for matching patients to clinical trials15
FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction15
Correction to: Dobbs and the future of health data privacy for patients and healthcare organizations15
Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records15
An interactive fitness-for-use data completeness tool to assess activity tracker data15
Social media use and mental health among older adults with multimorbidity: the role of self-care efficacy15
Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload15
Post-implementation optimization of medication alerts in hospital computerized provider order entry systems: a scoping review15
Innovative informatics interventions to improve health and health care15
Retraction and replacement of: Electronic connectivity between hospital pairs: impact on emergency department-related utilization15
quEHRy: a question answering system to query electronic health records15
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room15
Correction to: Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting Sys14
Identifying infected patients using semi-supervised and transfer learning14
Correction to: Barriers and facilitators to the implementation of family cancer history collection tools in oncology clinical practices14
The real-world impact of artificial intelligence ethics frameworks across a decade in healthcare: a scoping review14
Will clinical standards not be part of the choir? Harmonization between the HL7 gender harmony project model and the NASEM measuring sex, gender identity, and sexual orientation report in the United S14
Standards and frameworks14
Correction14
Sounding out solutions: using SONAR to connect participants with relevant healthcare resources14
Is the patient speaking or the nurse? Automatic speaker type identification in patient–nurse audio recordings14
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