Journal of the American Medical Informatics Association

Papers
(The median citation count of Journal of the American Medical Informatics Association is 3. 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 2021-06-01 to 2025-06-01.)
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 Belgium247
Designing visual hierarchies for the communication of health data110
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation106
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes92
All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block66
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus62
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction62
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care61
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare60
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions58
The added value of text from Dutch general practitioner notes in predictive modeling52
What did you do to avoid the climate disaster? A call to arms for health informatics50
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks50
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records47
A framework for understanding label leakage in machine learning for health care45
Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications41
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping40
Association between state payment parity policies and telehealth usage at community health centers during COVID-1939
The ongoing French BaMaRa-BNDMR cohort: implementation and deployment of a nationwide information system on rare disease37
Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology37
Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis37
CDEMapper: enhancing National Institutes of Health common data element use with large language models35
Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events35
Foundational domains and competencies for baccalaureate health informatics education34
Clickbusters letter response34
Growth curve modeling of virtual events and online engagement in a palliative care peer support online health community for adolescents and young adults32
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network32
Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables31
Variations in digital health literacy for pediatric caregivers of hospitalized children: implications for digital health equity30
Developing electronic clinical quality measures to assess the cancer diagnostic process29
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease29
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care28
Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital28
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records28
Association of physician burnout with perceived EHR work stress and potentially actionable factors27
The incremental design of a machine learning framework for medical records processing27
Tablet distribution to veterans: an opportunity to increase patient portal adoption and use27
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model27
Preparing for the bedside—optimizing a postpartum depression risk prediction model for clinical implementation in a health system26
Using automated methods to detect safety problems with health information technology: a scoping review25
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization25
Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach25
Letter to the editors in response to “Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency”24
Comparing penalization methods for linear models on large observational health data24
Reply to Layne et al.’s Letter to the Editor24
AI in health: keeping the human in the loop23
Can large language models provide secondary reliable opinion on treatment options for dermatological diseases?23
Equity implications of extended reality technologies for health and procedural anxiety: a systematic review and implementation-focused framework22
Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification22
Exploring home healthcare clinicians’ needs for using clinical decision support systems for early risk warning21
Deploying a national clinical text processing infrastructure21
High-performance automated abstract screening with large language model ensembles21
Digital interventions for antimicrobial prescribing and monitoring: a qualitative meta-synthesis of factors influencing user acceptance21
Clinical decision support malfunctions related to medication routes: a case series21
Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing21
Variation in pediatric and adolescent electronic health data sharing practices under the 21st Century Cures Act21
Returning value to the community through the All of Us Research Program Data Sandbox model21
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 21
Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading20
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 preferences20
Bridging the gap in author names: building an enhanced author name dataset for biomedical literature system20
Comparative effectiveness of generic commercial versus locally customized clinical decision support tools to reduce prescription of nonsteroidal anti-inflammatory drugs for patients with heart failure20
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data20
AMIA’s code of professional and ethical conduct 202220
Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use20
Learning competing risks across multiple hospitals: one-shot distributed algorithms20
Dobbs and the future of health data privacy for patients and healthcare organizations19
Characterizing variability of electronic health record-driven phenotype definitions19
Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank19
Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory19
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes19
Constructing knowledge: the role of AI in medical learning19
Correction to: Association between state payment parity policies and telehealth usage at community health centers during COVID-1918
The value of parental medical records for the prediction of diabetes and cardiovascular disease: a novel method for generating and incorporating family histories18
myAURA: a personalized health library for epilepsy management via knowledge graph sparsification and visualization18
Seeing things the same way: perspectives and lessons learned from research-design collaborations18
JAMIA at 30: looking back and forward18
The substance-exposed birthing person-infant/child dyad and health information exchange in the United States17
Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning17
Informatics innovation to provide return of value to participant communities in the All of Us Research Program17
21st Century Cures Act: ethical recommendations for new patient-facing products17
Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic17
A call for better validation of opioid overdose risk algorithms16
A span-based model for extracting overlapping PICO entities from randomized controlled trial publications16
Disparities in seizure outcomes revealed by large language models16
Using electronic health record audit log data for research: insights from early efforts16
Leveraging explainable artificial intelligence to optimize clinical decision support16
Real world performance of the 21st Century Cures Act population-level application programming interface16
Acute myocardial infarction prognosis prediction with reliable and interpretable artificial intelligence system16
Knowledge infrastructure: a priority to accelerate workflow automation in health care16
Targeted messaging to improve the adoption of clinical decision support for prescription drug monitoring program use16
VIEWER: an extensible visual analytics framework for enhancing mental healthcare15
PMC-LLaMA: toward building open-source language models for medicine15
Keeping synthetic patients on track: feedback mechanisms to mitigate performance drift in longitudinal health data simulation15
Electronic health record “gag clauses” and the prevalence of screenshots in peer-reviewed literature15
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 repository15
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
Computational simulation of the potential improvement in clinical outcomes of cardiovascular diseases with the use of a personalized predictive medicine approach14
A marker-based neural network system for extracting social determinants of health14
Equitable community-based participatory research engagement with communities of color drives All of Us Wisconsin genomic research priorities14
Communicating research findings as a return of value to All of Us Research Program participants: insights from staff at Federally Qualified Health Centers14
A novel hyperparameter search approach for accuracy and simplicity in disease prediction risk scoring14
LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction14
Evaluating the validity of the nursing statements algorithmically generated based on the International Classifications of Nursing Practice for respiratory nursing care using large language models14
Perspectives on the role of industry in informatics research and authorship14
Promoting interoperability between SNOMED CT and ICD-11: lessons learned from the pilot project mapping between SNOMED CT and the ICD-11 Foundation14
Integrating human-centered design in public health data dashboards: lessons from the development of a data dashboard of sexually transmitted infections in New York State13
Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures13
Correction to: Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes13
Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research13
LCD benchmark: long clinical document benchmark on mortality prediction for language models13
Utilization patterns and efficiency gains from use of a fully EHR-integrated COVID-19 self-triage and self-scheduling tool: a retrospective analysis13
The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change13
Harnessing the potential of large language models in medical education: promise and pitfalls13
Electronic patient-reported outcome measures for triaging and scheduling outpatient appointments: a systematic review and meta-analysis13
Large language models for biomedicine: foundations, opportunities, challenges, and best practices13
Markov modeling for cost-effectiveness using federated health data network13
Leveraging large language models to foster equity in healthcare13
The role of electronic health record developers in hospital patient sharing13
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports13
Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI13
Correction to: In with the old, in with the new: machine learning for time to event biomedical research13
Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review13
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 comics13
Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency12
Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review12
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 Network12
Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records12
Applying anti-racist approaches to informatics: a new lens on traditional frames12
Search still matters: information retrieval in the era of generative AI12
Partnering with patients and families living with chronic conditions to coproduce diagnostic safety through OurDX: a previsit online engagement tool12
Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture12
Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies12
Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys12
PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis12
Dynamic prediction of work status for workers with occupational injuries: assessing the value of longitudinal observations12
Impact of artificial intelligence on pathologists’ decisions: an experiment12
Generating colloquial radiology reports with large language models12
Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model12
Selective prediction for extracting unstructured clinical data12
A randomized controlled trial of generic and localized MedlinePlus-based information resources for hard-to-reach urban Hispanic community12
The impact of the COVID-19 pandemic on daily rhythms12
Trading-off privacy and utility: the Washington State experience assessing the performance of a public health digital exposure notification system for coronavirus disease 201912
Do electronic health record systems “dumb down” clinicians?12
Development of electronic health record based algorithms to identify individuals with diabetic retinopathy12
BioInstruct: instruction tuning of large language models for biomedical natural language processing12
A perspective on individualized treatment effects estimation from time-series health data11
Assessing health literacy and diversity within the All of Us Research Program11
“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 information11
Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research11
Methodologies and key considerations for implementing the International Classification of Diseases-11th revision morbidity coding: insights from a national pilot study in China11
Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction11
Community engagement in the development of health-related data visualizations: a scoping review11
National COVID Cohort Collaborative data enhancements: a path for expanding common data models11
Mapping the delineation of practice to the AMIA foundational domains for applied health informatics11
Visualizing machine learning-based predictions of postpartum depression risk for lay audiences11
Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond11
The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review11
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety11
VACtrac: enhancing access immunization registry data for population outreach using the Bulk Fast Healthcare Interoperable Resource (FHIR) protocol11
Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework11
Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study11
Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort11
Combining uncertainty-aware predictive modeling and a bedtimeSmart Snackintervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections11
Translating and evaluating historic phenotyping algorithms using SNOMED CT11
Use of calibration to improve the precision of estimates obtained from All of Us data11
A novel approach to patient portal activation data to power equity improvements11
Safety risks and workflow implications associated with nursing-related free-text communication orders11
Implementation and impact of an electronic patient reported outcomes system in a phase II multi-site adaptive platform clinical trial for early-stage breast cancer11
Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach11
A national survey of digital health company experiences with electronic health record application programming interfaces11
Deep sequential neural network models improve stratification of suicide attempt risk among US veterans10
To the editor of JAMIA10
Post-implementation optimization of medication alerts in hospital computerized provider order entry systems: a scoping review10
Standards and frameworks10
Use of chosen names in electronic health records to promote transgender inclusivity10
CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs10
Automated deidentification of radiology reports combining transformer and “hide in plain sight” rule-based methods10
Correction to: Dobbs and the future of health data privacy for patients and healthcare organizations10
Digital vaccine passports and digital health diplomacy: an online model WHO simulation10
A messaging standard for environmental inspections: is it time?10
Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data10
Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden10
An interactive fitness-for-use data completeness tool to assess activity tracker data10
Bridging the digital health divide—patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity10
Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts10
Guidance for reporting analyses of metadata on electronic health record use9
A powerful partnership: researchers and patients working together to develop a patient-facing summary of clinical trial outcome data9
A call for the informatics community to define priority practice and research areas at the intersection of climate and health: report from 2023 mini-summit9
Innovative informatics interventions to improve health and health care9
“Are we there yet?” Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses9
Correction to: Barriers and facilitators to the implementation of family cancer history collection tools in oncology clinical practices9
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 Sys9
Strengths, weaknesses, opportunities, and threats for the nation’s public health information systems infrastructure: synthesis of discussions from the 2022 ACMI Symposium9
A question-answering framework for automated abstract screening using large language models9
Beyond the individual9
Enhancing the nation’s public health information infrastructure: a report from the ACMI symposium9
Revisions to the Safety Assurance Factors for Electronic Health Record Resilience (SAFER) Guides to update national recommendations for safe use of electronic health records9
Distilling large language models for matching patients to clinical trials9
Curating a longitudinal research resource using linked primary care EHR data—a UK Biobank case study9
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room9
Factors impacting electronic patient-generated data use in safety-net systems: a qualitative study9
Social media use and mental health among older adults with multimorbidity: the role of self-care efficacy9
Is the patient speaking or the nurse? Automatic speaker type identification in patient–nurse audio recordings9
Identifying infected patients using semi-supervised and transfer learning9
quEHRy: a question answering system to query electronic health records9
REDCap and the National Mesothelioma Virtual Bank—a scalable and sustainable model for rare disease biorepositories9
Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records9
Machine learning approaches for electronic health records phenotyping: a methodical review9
Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review8
Generalizable pipeline for constructing HIV risk prediction models across electronic health record systems8
Effectiveness of clinical dashboards as audit and feedback or clinical decision support tools on medication use and test ordering: a systematic review of randomized controlled trials8
The role of information systems in emergency department decision-making—a literature review8
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
Semi-supervised learning from small annotated data and large unlabeled data for fine-grained Participants, Intervention, Comparison, and Outcomes entity recognition8
The effectiveness of a noninterruptive alert to increase prescription of take-home naloxone in emergency departments8
Large language models in biomedicine and health: current research landscape and future directions8
Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South8
Correction to: Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review8
Global Health Informatics: the state of research and lessons learned8
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
The journey to building a diverse, equitable, and inclusive American Medical Informatics Association8
How, for whom, and in what contexts will artificial intelligence be adopted in pathology? A realist interview study8
Assessing the impact of patient access to clinical notes on clinician EHR documentation8
FHIR-up! Advancing knowledge from clinical data through application of standardized nursing terminologies within HL7® FHIR®8
Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks8
Just another tool in their repertoire: uncovering insights into public and patient perspectives on clinicians’ use of machine learning in perioperative care8
Generating synthetic mixed discrete-continuous health records with mixed sum-product networks8
Engaging the next generation of physician–informaticians through early exposure to the field: successes and challenges associated with starting a novel clinical informatics interest group8
Sounding out solutions: using SONAR to connect participants with relevant healthcare resources8
Correction8
Primary care physicians’ electronic health record proficiency and efficiency behaviors and time interacting with electronic health records: a quantile regression analysis8
Clinical decision support with a comprehensive in-EHR patient tracking system improves genetic testing follow up8
Utilization of telehealth to manage the Covid-19 pandemic in low- and middle-income countries: a scoping review7
Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries7
Understanding enterprise data warehouses to support clinical and translational research: enterprise information technology relationships, data governance, workforce, and cloud computing7
Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models7
RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements7
Transformer-based time-to-event prediction for chronic kidney disease deterioration7
Mixed methods assessment of the influence of demographics on medical advice of ChatGPT7
Using electronic health record data to link families: an illustrative example using intergenerational patterns of obesity7
Identifying the mechanism of missingness for unspecified diabetic retinopathy disease severity in the electronic health record: an IRIS® Registry analysis7
Review, Assess, Classify, and Evaluate (RACE): a framework for studying m-health apps and its application for opioid apps7
Ambient artificial intelligence scribes: utilization and impact on documentation time7
Electronic connectivity between hospital pairs: impact on emergency department-related utilization7
Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program7
An example of leveraging AI for documentation: ChatGPT-generated nursing care plan for an older adult with lung cancer7
Improved intrahospital transport time via proximity-based staff assignments7
Question answering systems for health professionals at the point of care—a systematic review7
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