Journal of the American Medical Informatics Association

Papers
(The TQCC of Journal of the American Medical Informatics Association is 11. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus306
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction174
“Goldmine” or “big mess”? An interview study on the challenges of designing, operating, and ensuring the durability of Clinical Data Warehouses in France and Belgium163
Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications132
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare104
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks83
What did you do to avoid the climate disaster? A call to arms for health informatics82
Designing visual hierarchies for the communication of health data82
Identifying family structures from obituaries and matching them to patients in an electronic heath record80
Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules79
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes77
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care77
Challenges using electronic health records to support unhealthy alcohol use screening and intervention in primary care practices in the Pacific Northwest74
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation73
Genetic data normalization for genomic medicine: a Fast Healthcare Interoperability Resources Genomics reference implementation70
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping69
All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block66
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records66
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions59
Compliance and factuality of large language models for clinical research document generation58
A framework for understanding label leakage in machine learning for health care53
The added value of text from Dutch general practitioner notes in predictive modeling48
Clickbusters letter response44
Association between state payment parity policies and telehealth usage at community health centers during COVID-1944
Letter to the editors in response to “Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency”43
Foundational domains and competencies for baccalaureate health informatics education43
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network43
Growth curve modeling of virtual events and online engagement in a palliative care peer support online health community for adolescents and young adults41
Variations in digital health literacy for pediatric caregivers of hospitalized children: implications for digital health equity41
Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables41
Reply to Layne et al.’s Letter to the Editor41
Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach39
Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis39
CDEMapper: enhancing National Institutes of Health common data element use with large language models39
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care38
Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system38
Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology38
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model37
The ongoing French BaMaRa-BNDMR cohort: implementation and deployment of a nationwide information system on rare disease37
Using automated methods to detect safety problems with health information technology: a scoping review37
The incremental design of a machine learning framework for medical records processing37
Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events37
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease36
Comparing penalization methods for linear models on large observational health data35
Developing electronic clinical quality measures to assess the cancer diagnostic process35
Tablet distribution to veterans: an opportunity to increase patient portal adoption and use35
Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital34
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records33
Association of physician burnout with perceived EHR work stress and potentially actionable factors33
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization33
Equity implications of extended reality technologies for health and procedural anxiety: a systematic review and implementation-focused framework32
Digital interventions for antimicrobial prescribing and monitoring: a qualitative meta-synthesis of factors influencing user acceptance31
Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification31
myAURA: a personalized health library for epilepsy management via knowledge graph sparsification and visualization31
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 31
Characterizing variability of electronic health record-driven phenotype definitions30
Exploring home healthcare clinicians’ needs for using clinical decision support systems for early risk warning30
A communication-efficient federated learning algorithm to assess racial disparities in post-transplantation survival time30
Returning value to the community through the All of Us Research Program Data Sandbox model30
Variation in pediatric and adolescent electronic health data sharing practices under the 21st Century Cures Act29
Clinical decision support malfunctions related to medication routes: a case series29
Learning competing risks across multiple hospitals: one-shot distributed algorithms29
Deploying a national clinical text processing infrastructure29
Bridging the gap in author names: building an enhanced author name dataset for biomedical literature system29
JAMIA at 30: looking back and forward28
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data28
Constructing knowledge: the role of AI in medical learning28
Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank27
Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading27
High-performance automated abstract screening with large language model ensembles27
AMIA’s code of professional and ethical conduct 202227
Can large language models provide secondary reliable opinion on treatment options for dermatological diseases?26
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 preferences26
AI in health: keeping the human in the loop26
Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing26
Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use26
Dobbs and the future of health data privacy for patients and healthcare organizations26
Correction to: Association between state payment parity policies and telehealth usage at community health centers during COVID-1925
Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning25
Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory25
21st Century Cures Act: ethical recommendations for new patient-facing products25
Comparative effectiveness of generic commercial versus locally customized clinical decision support tools to reduce prescription of nonsteroidal anti-inflammatory drugs for patients with heart failure25
The substance-exposed birthing person-infant/child dyad and health information exchange in the United States25
Targeted messaging to improve the adoption of clinical decision support for prescription drug monitoring program use25
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes25
Informatics innovation to provide return of value to participant communities in the All of Us Research Program24
The value of parental medical records for the prediction of diabetes and cardiovascular disease: a novel method for generating and incorporating family histories24
Real world performance of the 21st Century Cures Act population-level application programming interface23
Seeing things the same way: perspectives and lessons learned from research-design collaborations23
Toward digital twins in the intensive care unit: a medication management case study23
Knowledge infrastructure: a priority to accelerate workflow automation in health care23
Transfer-learning on federated observational healthcare data for prediction models using Bayesian sparse logistic regression with informed priors22
Disparities in seizure outcomes revealed by large language models22
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 study22
A call for better validation of opioid overdose risk algorithms22
Using electronic health record audit log data for research: insights from early efforts22
A span-based model for extracting overlapping PICO entities from randomized controlled trial publications21
Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic21
Supporting clinical reasoning through visual summarization and presentation of patient data: a systematic review21
PMC-LLaMA: toward building open-source language models for medicine21
Diagnostic accuracy differences in detecting wound maceration between humans and artificial intelligence: the role of human expertise revisited21
Leveraging explainable artificial intelligence to optimize clinical decision support21
A standards-based approach to digital health research: implementing the people heart study21
Correction to: Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes20
Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features20
Electronic health record “gag clauses” and the prevalence of screenshots in peer-reviewed literature20
A novel hyperparameter search approach for accuracy and simplicity in disease prediction risk scoring20
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports20
Harnessing the potential of large language models in medical education: promise and pitfalls20
Acute myocardial infarction prognosis prediction with reliable and interpretable artificial intelligence system20
Perspectives on the role of industry in informatics research and authorship20
Evaluating the validity of the nursing statements algorithmically generated based on the International Classifications of Nursing Practice for respiratory nursing care using large language models20
SNOMED CT entity linking challenge20
Computational simulation of the potential improvement in clinical outcomes of cardiovascular diseases with the use of a personalized predictive medicine approach20
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 repository20
Enabling inclusive systematic reviews: incorporating preprint articles with large language model-driven evaluations19
Equitable community-based participatory research engagement with communities of color drives All of Us Wisconsin genomic research priorities19
Large language models for biomedicine: foundations, opportunities, challenges, and best practices19
Derivation and validation of an algorithm for maternal–child linkage in electronic health records19
Electronic patient-reported outcome measures for triaging and scheduling outpatient appointments: a systematic review and meta-analysis19
Envisioning the future of primary care: intervention strategies to support patient-centered communication feedback technology19
Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures19
A marker-based neural network system for extracting social determinants of health19
Transport-based transfer learning on Electronic Health Records: application to detection of treatment disparities19
Communicating research findings as a return of value to All of Us Research Program participants: insights from staff at Federally Qualified Health Centers19
LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction19
Promoting interoperability between SNOMED CT and ICD-11: lessons learned from the pilot project mapping between SNOMED CT and the ICD-11 Foundation19
Correction to: In with the old, in with the new: machine learning for time to event biomedical research18
Keeping synthetic patients on track: feedback mechanisms to mitigate performance drift in longitudinal health data simulation18
VIEWER: an extensible visual analytics framework for enhancing mental healthcare18
Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI18
Markov modeling for cost-effectiveness using federated health data network18
Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research18
Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review17
Impact of artificial intelligence on pathologists’ decisions: an experiment17
Search still matters: information retrieval in the era of generative AI17
Development of electronic health record based algorithms to identify individuals with diabetic retinopathy17
Leveraging large language models to foster equity in healthcare17
The role of electronic health record developers in hospital patient sharing17
Large language models accurately identify immunosuppression in intensive care unit patients17
Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies17
Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model17
Partnering with patients and families living with chronic conditions to coproduce diagnostic safety through OurDX: a previsit online engagement tool16
Selective prediction for extracting unstructured clinical data16
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 comics16
Prediction of postoperative infections by strategic data imputation and explainable machine learning16
Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency16
Generating colloquial radiology reports with large language models16
Machine learning based prediction of medication adherence in heart failure using large electronic health record cohort with linkages to pharmacy-fill and neighborhood-level data16
The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change16
BioInstruct: instruction tuning of large language models for biomedical natural language processing16
Utilization patterns and efficiency gains from use of a fully EHR-integrated COVID-19 self-triage and self-scheduling tool: a retrospective analysis16
Integrating human-centered design in public health data dashboards: lessons from the development of a data dashboard of sexually transmitted infections in New York State16
Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture15
A randomized controlled trial of generic and localized MedlinePlus-based information resources for hard-to-reach urban Hispanic community15
Assessing health literacy and diversity within the All of Us Research Program15
Translating and evaluating historic phenotyping algorithms using SNOMED CT15
Trading-off privacy and utility: the Washington State experience assessing the performance of a public health digital exposure notification system for coronavirus disease 201915
Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond15
Methodologies and key considerations for implementing the International Classification of Diseases-11th revision morbidity coding: insights from a national pilot study in China15
“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 information15
LCD benchmark: long clinical document benchmark on mortality prediction for language models15
Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records15
Enterprise-wide simultaneous deployment of ambient scribe technology: lessons learned from an academic health system15
The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review15
Combining uncertainty-aware predictive modeling and a bedtimeSmart Snackintervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections14
Visualizing machine learning-based predictions of postpartum depression risk for lay audiences14
Safety risks and workflow implications associated with nursing-related free-text communication orders14
Community engagement in the development of health-related data visualizations: a scoping review14
The impact of the COVID-19 pandemic on daily rhythms14
Use of calibration to improve the precision of estimates obtained from All of Us data14
Evaluation of the impact of defining observable time in real-world data on outcome incidence14
Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research14
PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis14
Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys14
A novel approach to patient portal activation data to power equity improvements14
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 Network14
Dynamic prediction of work status for workers with occupational injuries: assessing the value of longitudinal observations14
Do electronic health record systems “dumb down” clinicians?14
Applying anti-racist approaches to informatics: a new lens on traditional frames14
Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort14
Mapping the delineation of practice to the AMIA foundational domains for applied health informatics14
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety14
Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review14
An exploratory analysis of SNOMED CT national editions14
Implementation and impact of an electronic patient reported outcomes system in a phase II multi-site adaptive platform clinical trial for early-stage breast cancer13
Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study13
Generating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software13
VACtrac: enhancing access immunization registry data for population outreach using the Bulk Fast Healthcare Interoperable Resource (FHIR) protocol13
A national survey of digital health company experiences with electronic health record application programming interfaces13
CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs13
National COVID Cohort Collaborative data enhancements: a path for expanding common data models13
A perspective on individualized treatment effects estimation from time-series health data13
Deep sequential neural network models improve stratification of suicide attempt risk among US veterans13
Automated deidentification of radiology reports combining transformer and “hide in plain sight” rule-based methods13
Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction13
Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data13
Hillclimb-Causal Inference: a data-driven approach to identify causal pathways among parental behaviors, genetic risk, and externalizing behaviors in children13
Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach13
Establishing and implementing a responsible artificial intelligence framework: a 1-year review13
Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden12
REDCap and the National Mesothelioma Virtual Bank—a scalable and sustainable model for rare disease biorepositories12
Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload12
Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework12
Post-implementation optimization of medication alerts in hospital computerized provider order entry systems: a scoping review12
Beyond the individual12
Revisions to the Safety Assurance Factors for Electronic Health Record Resilience (SAFER) Guides to update national recommendations for safe use of electronic health records12
A powerful partnership: researchers and patients working together to develop a patient-facing summary of clinical trial outcome data12
Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts12
To the editor of JAMIA12
Identifying infected patients using semi-supervised and transfer learning12
Correction to: Dobbs and the future of health data privacy for patients and healthcare organizations12
A call for the informatics community to define priority practice and research areas at the intersection of climate and health: report from 2023 mini-summit12
Bridging the digital health divide—patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity12
Innovative informatics interventions to improve health and health care12
Standards and frameworks12
A messaging standard for environmental inspections: is it time?12
Digital vaccine passports and digital health diplomacy: an online model WHO simulation12
Social media use and mental health among older adults with multimorbidity: the role of self-care efficacy11
FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction11
Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records11
“Are we there yet?” Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses11
Correction to: Barriers and facilitators to the implementation of family cancer history collection tools in oncology clinical practices11
Curating a longitudinal research resource using linked primary care EHR data—a UK Biobank case study11
Use of chosen names in electronic health records to promote transgender inclusivity11
Strengths, weaknesses, opportunities, and threats for the nation’s public health information systems infrastructure: synthesis of discussions from the 2022 ACMI Symposium11
An interactive fitness-for-use data completeness tool to assess activity tracker data11
A question-answering framework for automated abstract screening using large language models11
quEHRy: a question answering system to query electronic health records11
Machine learning approaches for electronic health records phenotyping: a methodical review11
Guidance for reporting analyses of metadata on electronic health record use11
The real-world impact of artificial intelligence ethics frameworks across a decade in healthcare: a scoping review11
In vitro to in vivo translation of artificial intelligence for clinical use: screening for acute coronary syndrome to identify ST-elevation myocardial infarction11
Factors impacting electronic patient-generated data use in safety-net systems: a qualitative study11
Distilling large language models for matching patients to clinical trials11
Enhancing the nation’s public health information infrastructure: a report from the ACMI symposium11
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room11
Is the patient speaking or the nurse? Automatic speaker type identification in patient–nurse audio recordings11
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