Journal of the American Medical Informatics Association

Papers
(The TQCC of Journal of the American Medical Informatics Association is 8. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
“Goldmine” or “big mess”? An interview study on the challenges of designing, operating, and ensuring the durability of Clinical Data Warehouses in France and Belgium240
Designing visual hierarchies for the communication of health data104
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation101
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes79
All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block63
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks58
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction58
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus56
A framework for understanding label leakage in machine learning for health care54
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care53
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare51
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions43
Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications42
Association between state payment parity policies and telehealth usage at community health centers during COVID-1941
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping41
The added value of text from Dutch general practitioner notes in predictive modeling39
Using automated methods to detect safety problems with health information technology: a scoping review36
What did you do to avoid the climate disaster? A call to arms for health informatics36
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records36
Reply to Layne et al.’s Letter to the Editor34
Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology33
Tablet distribution to veterans: an opportunity to increase patient portal adoption and use33
The ongoing French BaMaRa-BNDMR cohort: implementation and deployment of a nationwide information system on rare disease32
Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis31
Clickbusters letter response31
Growth curve modeling of virtual events and online engagement in a palliative care peer support online health community for adolescents and young adults30
Foundational domains and competencies for baccalaureate health informatics education30
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network29
Variations in digital health literacy for pediatric caregivers of hospitalized children: implications for digital health equity28
Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables28
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records26
Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital26
Developing electronic clinical quality measures to assess the cancer diagnostic process26
Letter to the editors in response to “Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency”26
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease26
Comparing penalization methods for linear models on large observational health data25
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model25
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care25
Association of physician burnout with perceived EHR work stress and potentially actionable factors24
The incremental design of a machine learning framework for medical records processing24
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization24
Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events24
Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach23
AI in health: keeping the human in the loop22
Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system22
Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory21
Can large language models provide secondary reliable opinion on treatment options for dermatological diseases?20
JAMIA at 30: looking back and forward20
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes20
Constructing knowledge: the role of AI in medical learning20
Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading20
Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank20
Dobbs and the future of health data privacy for patients and healthcare organizations19
Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification19
High-performance automated abstract screening with large language model ensembles19
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data19
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 19
Equity implications of extended reality technologies for health and procedural anxiety: a systematic review and implementation-focused framework19
Exploring home healthcare clinicians’ needs for using clinical decision support systems for early risk warning18
myAURA: a personalized health library for epilepsy management via knowledge graph sparsification and visualization18
Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing18
Clinical decision support malfunctions related to medication routes: a case series18
Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use18
Comparative effectiveness of generic commercial versus locally customized clinical decision support tools to reduce prescription of nonsteroidal anti-inflammatory drugs for patients with heart failure18
Correction to: Association between state payment parity policies and telehealth usage at community health centers during COVID-1917
AMIA’s code of professional and ethical conduct 202217
Characterizing variability of electronic health record-driven phenotype definitions17
Variation in pediatric and adolescent electronic health data sharing practices under the 21st Century Cures Act17
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 preferences17
Deploying a national clinical text processing infrastructure17
Learning competing risks across multiple hospitals: one-shot distributed algorithms17
Bridging the gap in author names: building an enhanced author name dataset for biomedical literature system17
Returning value to the community through the All of Us Research Program Data Sandbox model17
Digital interventions for antimicrobial prescribing and monitoring: a qualitative meta-synthesis of factors influencing user acceptance17
Seeing things the same way: perspectives and lessons learned from research-design collaborations16
Informatics innovation to provide return of value to participant communities in the All of Us Research Program16
Targeted messaging to improve the adoption of clinical decision support for prescription drug monitoring program use16
21st Century Cures Act: ethical recommendations for new patient-facing products16
Knowledge infrastructure: a priority to accelerate workflow automation in health care16
Acute myocardial infarction prognosis prediction with reliable and interpretable artificial intelligence system16
The value of parental medical records for the prediction of diabetes and cardiovascular disease: a novel method for generating and incorporating family histories16
A span-based model for extracting overlapping PICO entities from randomized controlled trial publications15
Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning15
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 study15
The substance-exposed birthing person-infant/child dyad and health information exchange in the United States15
Leveraging explainable artificial intelligence to optimize clinical decision support15
Using electronic health record audit log data for research: insights from early efforts15
Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic14
PMC-LLaMA: toward building open-source language models for medicine14
VIEWER: an extensible visual analytics framework for enhancing mental healthcare14
Electronic health record “gag clauses” and the prevalence of screenshots in peer-reviewed literature14
Real world performance of the 21st Century Cures Act population-level application programming interface14
Disparities in seizure outcomes revealed by large language models14
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 repository14
A call for better validation of opioid overdose risk algorithms14
Correction to: Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes14
Equitable community-based participatory research engagement with communities of color drives All of Us Wisconsin genomic research priorities13
Computational simulation of the potential improvement in clinical outcomes of cardiovascular diseases with the use of a personalized predictive medicine approach13
Keeping synthetic patients on track: feedback mechanisms to mitigate performance drift in longitudinal health data simulation13
LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction13
Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures13
Evaluating the validity of the nursing statements algorithmically generated based on the International Classifications of Nursing Practice for respiratory nursing care using large language models13
Communicating research findings as a return of value to All of Us Research Program participants: insights from staff at Federally Qualified Health Centers13
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports13
A novel hyperparameter search approach for accuracy and simplicity in disease prediction risk scoring13
Perspectives on the role of industry in informatics research and authorship13
Promoting interoperability between SNOMED CT and ICD-11: lessons learned from the pilot project mapping between SNOMED CT and the ICD-11 Foundation13
Markov modeling for cost-effectiveness using federated health data network12
Correction to: In with the old, in with the new: machine learning for time to event biomedical research12
Harnessing the potential of large language models in medical education: promise and pitfalls12
A marker-based neural network system for extracting social determinants of health12
Utilization patterns and efficiency gains from use of a fully EHR-integrated COVID-19 self-triage and self-scheduling tool: a retrospective analysis12
Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model12
Impact of artificial intelligence on pathologists’ decisions: an experiment12
Partnering with patients and families living with chronic conditions to coproduce diagnostic safety through OurDX: a previsit online engagement tool12
Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research12
Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review12
LCD benchmark: long clinical document benchmark on mortality prediction for language models12
Development of electronic health record based algorithms to identify individuals with diabetic retinopathy12
The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change12
The role of electronic health record developers in hospital patient sharing12
Integrating human-centered design in public health data dashboards: lessons from the development of a data dashboard of sexually transmitted infections in New York State12
Large language models for biomedicine: foundations, opportunities, challenges, and best practices12
Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI12
Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies12
Search still matters: information retrieval in the era of generative AI12
Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture12
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 comics12
Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research11
Translating and evaluating historic phenotyping algorithms using SNOMED CT11
Leveraging large language models to foster equity in healthcare11
Selective prediction for extracting unstructured clinical data11
BioInstruct: instruction tuning of large language models for biomedical natural language processing11
Trading-off privacy and utility: the Washington State experience assessing the performance of a public health digital exposure notification system for coronavirus disease 201911
Combining uncertainty-aware predictive modeling and a bedtimeSmart Snackintervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections11
Methodologies and key considerations for implementing the International Classification of Diseases-11th revision morbidity coding: insights from a national pilot study in China11
Do electronic health record systems “dumb down” clinicians?11
Generating colloquial radiology reports with large language models11
Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency11
Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records11
Applying anti-racist approaches to informatics: a new lens on traditional frames11
Visualizing machine learning-based predictions of postpartum depression risk for lay audiences11
The impact of the COVID-19 pandemic on daily rhythms11
A randomized controlled trial of generic and localized MedlinePlus-based information resources for hard-to-reach urban Hispanic community11
Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review11
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 Network11
Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys11
PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis11
Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond11
“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 information10
VACtrac: enhancing access immunization registry data for population outreach using the Bulk Fast Healthcare Interoperable Resource (FHIR) protocol10
Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study10
Mapping the delineation of practice to the AMIA foundational domains for applied health informatics10
CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs10
Safety risks and workflow implications associated with nursing-related free-text communication orders10
The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review10
Use of calibration to improve the precision of estimates obtained from All of Us data10
Assessing health literacy and diversity within the All of Us Research Program10
National COVID Cohort Collaborative data enhancements: a path for expanding common data models10
Community engagement in the development of health-related data visualizations: a scoping review10
A national survey of digital health company experiences with electronic health record application programming interfaces10
A novel approach to patient portal activation data to power equity improvements10
Dynamic prediction of work status for workers with occupational injuries: assessing the value of longitudinal observations10
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety10
Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort10
Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach10
Implementation and impact of an electronic patient reported outcomes system in a phase II multi-site adaptive platform clinical trial for early-stage breast cancer10
A perspective on individualized treatment effects estimation from time-series health data10
To the editor of JAMIA9
Automated deidentification of radiology reports combining transformer and “hide in plain sight” rule-based methods9
Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data9
Curating a longitudinal research resource using linked primary care EHR data—a UK Biobank case study9
Post-implementation optimization of medication alerts in hospital computerized provider order entry systems: a scoping review9
Standards and frameworks9
Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction9
Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden9
Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts9
A messaging standard for environmental inspections: is it time?9
quEHRy: a question answering system to query electronic health records9
“Are we there yet?” Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses9
Digital vaccine passports and digital health diplomacy: an online model WHO simulation9
Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework9
Deep sequential neural network models improve stratification of suicide attempt risk among US veterans9
Correction to: Dobbs and the future of health data privacy for patients and healthcare organizations9
An interactive fitness-for-use data completeness tool to assess activity tracker data9
REDCap and the National Mesothelioma Virtual Bank—a scalable and sustainable model for rare disease biorepositories9
Innovative informatics interventions to improve health and health care9
A powerful partnership: researchers and patients working together to develop a patient-facing summary of clinical trial outcome data8
Diagnostic accuracy of deep learning using speech samples in depression: a systematic review and meta-analysis8
Reflections on interactive visualization of electronic health records: past, present, future8
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room8
Enhancing the nation’s public health information infrastructure: a report from the ACMI symposium8
Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records8
Use of chosen names in electronic health records to promote transgender inclusivity8
Machine learning approaches for electronic health records phenotyping: a methodical review8
Distilling large language models for matching patients to clinical trials8
The journey to building a diverse, equitable, and inclusive American Medical Informatics Association8
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 Sys8
Social media use and mental health among older adults with multimorbidity: the role of self-care efficacy8
A call for the informatics community to define priority practice and research areas at the intersection of climate and health: report from 2023 mini-summit8
A question-answering framework for automated abstract screening using large language models8
Bridging the digital health divide—patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity8
Revisions to the Safety Assurance Factors for Electronic Health Record Resilience (SAFER) Guides to update national recommendations for safe use of electronic health records8
Is the patient speaking or the nurse? Automatic speaker type identification in patient–nurse audio recordings8
Sounding out solutions: using SONAR to connect participants with relevant healthcare resources8
Correction8
Correction to: Barriers and facilitators to the implementation of family cancer history collection tools in oncology clinical practices8
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 S8
Strengths, weaknesses, opportunities, and threats for the nation’s public health information systems infrastructure: synthesis of discussions from the 2022 ACMI Symposium8
Identifying infected patients using semi-supervised and transfer learning8
Beyond the individual8
Guidance for reporting analyses of metadata on electronic health record use8
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