Journal of the American Medical Informatics Association

Papers
(The TQCC of Journal of the American Medical Informatics Association is 7. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Communication-efficient federated learning of temporal effects on opioid use disorder with data from distributed research networks232
Patterns of willingness to share health data with key stakeholders in US consumers: a latent class analysis95
Expectations of healthcare AI and the role of trust: understanding patient views on how AI will impact cost, access, and patient-provider relationships86
A framework for understanding label leakage in machine learning for health care65
The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review59
Toward ensuring care quality and safety across settings: examining time pressure in a nursing home with observational time motion study metrics based on the Omaha system55
Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial53
Correction to: Managing re-identification risks while providing access to the All of Us research program52
More than algorithms: an analysis of safety events involving ML-enabled medical devices reported to the FDA46
Digital health for climate change mitigation and response: a scoping review45
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions41
Electronic health record data quality assessment and tools: a systematic review38
Telehealth experiences of providers and patients who use augmentative and alternative communication37
“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 information36
Clinical concept and relation extraction using prompt-based machine reading comprehension36
Correction to: Research data warehouse best practices: catalyzing national data sharing through informatics innovation34
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare33
New onset delirium prediction using machine learning and long short-term memory (LSTM) in electronic health record32
Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review32
RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition31
Response to Dr. Ross Koppel regarding “Electronic health record ‘gag clauses’ and the prevalence of screenshots in peer-reviewed literature.”31
AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation30
An examination of ambulatory care code specificity utilization in ICD-10-CM compared to ICD-9-CM: implications for ICD-11 implementation30
Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records29
Objective study validity diagnostics: a framework requiring pre-specified, empirical verification to increase trust in the reliability of real-world evidence28
Communicating cancer treatment with pictogram-based timeline visualizations27
Correction to: Inpatient nurses’ preferences and decisions with risk information visualization27
Introducing HL7 FHIR Genomics Operations: a developer-friendly approach to genomics-EHR integration26
Correction to: Are medical history data fit for risk stratification of patients with chest pain in emergency care? Comparing data collected from patients using computerized history taking with data do26
Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS)26
Combining uncertainty-aware predictive modeling and a bedtimeSmart Snackintervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections26
Correction to: Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review25
Implementation of an electronic health record-integrated instant messaging system in an academic health system24
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction23
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation23
A smart, practical, deep learning-based clinical decision support tool for patients in the prostate-specific antigen gray zone: model development and validation22
Toward ECG-based analysis of hypertrophic cardiomyopathy: a novel ECG segmentation method for handling abnormalities22
Trading-off privacy and utility: the Washington State experience assessing the performance of a public health digital exposure notification system for coronavirus disease 201921
A guiding framework for creating a comprehensive strategy for mHealth data sharing, privacy, and governance in low- and middle-income countries (LMICs)21
Association between state payment parity policies and telehealth usage at community health centers during COVID-1920
Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications20
A survey of automated methods for biomedical text simplification19
An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction19
Do electronic health record systems “dumb down” clinicians?19
Translating and evaluating historic phenotyping algorithms using SNOMED CT19
Interruptive Electronic Alerts for Choosing Wisely Recommendations: A Cluster Randomized Controlled Trial19
Diachronic and synchronic variation in the performance of adaptive machine learning systems: the ethical challenges18
A randomized controlled trial of generic and localized MedlinePlus-based information resources for hard-to-reach urban Hispanic community18
The 2022 n2c2/UW shared task on extracting social determinants of health18
What did you do to avoid the climate disaster? A call to arms for health informatics18
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 Network18
A snapshot of artificial intelligence research 2019–2021: is it replacing or assisting physicians?18
Implementation outcomes of the Structured and Codified SIG format in electronic prescription directions18
Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding18
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus17
The added value of text from Dutch general practitioner notes in predictive modeling17
Development and external validation of deep learning clinical prediction models using variable-length time series data17
Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review17
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks17
Illuminating the landscape of high-level clinical trial opportunities in the All of Us Research Program17
Insufficient evidence for interactive or animated graphics for communicating probability17
Applying anti-racist approaches to informatics: a new lens on traditional frames17
Impact of response bias in three surveys on primary care providers’ experiences with electronic health records17
Understanding enterprise data warehouses to support clinical and translational research: impact, sustainability, demand management, and accessibility17
Designing visual hierarchies for the communication of health data16
Disambiguation of acronyms in clinical narratives with large language models16
Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records15
Nutrition facts, drug facts, and model facts: putting AI ethics into practice in gun violence research15
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction15
Use of calibration to improve the precision of estimates obtained from All of Us data15
The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant15
A near real-time interactive dashboard for monitoring and anticipating demands in emergency care in the Île-de-France region (France)15
Public comfort with the use of ChatGPT and expectations for healthcare15
Characterizing apparent treatment resistant hypertension in the United States: insights from the All of Us Research Program14
CACER: Clinical concept Annotations for Cancer Events and Relations14
A machine-learning prediction model to identify risk of firearm injury using electronic health records data14
All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block14
Implementation and delivery of electronic health records training programs for nurses working in inpatient settings: a scoping review14
“Goldmine” or “big mess”? An interview study on the challenges of designing, operating, and ensuring the durability of Clinical Data Warehouses in France and Belgium14
Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models14
Multi-modality risk prediction of cardiovascular diseases for breast cancer cohort in the All of Us Research Program14
PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis13
Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment13
Web3-based storage solutions for biomedical research and clinical data exchange13
Advancing the science of visualization of health data for lay audiences13
BioASQ Synergy: a dialogue between question-answering systems and biomedical experts for promoting COVID-19 research13
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care13
Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition13
Structured and unstructured social risk factor documentation in the electronic health record underestimates patients’ self-reported risks13
Descriptive epidemiology demonstrating the All of Us database as a versatile resource for the rare and undiagnosed disease community13
Electronic health record system use and documentation burden of acute and critical care nurse clinicians: a mixed-methods study13
Visualizing machine learning-based predictions of postpartum depression risk for lay audiences13
Virtual reality and augmented reality smartphone applications for upskilling care home workers in hand hygiene: a realist multi-site feasibility, usability, acceptability, and efficacy study13
Improving model transferability for clinical note section classification models using continued pretraining13
Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys12
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models12
Dynamic prediction of work status for workers with occupational injuries: assessing the value of longitudinal observations12
A framework to identify ethical concerns with ML-guided care workflows: a case study of mortality prediction to guide advance care planning12
Experiences with information blocking in the United States: a national survey of hospitals12
The impact of the COVID-19 pandemic on daily rhythms12
From illness management to quality of life: rethinking consumer health informatics opportunities for progressive, potentially fatal illnesses12
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium12
The association between prescription drug monitoring programs and controlled substance prescribing: a cross-sectional study using data from 2019 National Electronic Health Records Survey12
Mapping 3 procedure coding systems to the International Classification of Health Interventions (ICHI): coverage and challenges12
Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research12
Machine-learning enhancement of urine dipstick tests for chronic kidney disease detection12
Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer’s disease and related dementias12
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes12
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety12
Analysis of user interactions with a digital health wallet for enabling care continuity in the context of an ongoing pandemic12
Comparison of SIREN social needs screening tools and Simplified Omaha System Terms: informing an informatics approach to social determinants of health assessments12
Empowering personalized pharmacogenomics with generative AI solutions11
Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO)11
Assessing the carbon footprint of digital health interventions: a scoping review11
A survey of pregnant patients’ perspectives on the implementation of artificial intelligence in clinical care11
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping11
Methodologies and key considerations for implementing the International Classification of Diseases-11th revision morbidity coding: insights from a national pilot study in China11
Medical informatics and climate change: a framework for modeling green healthcare solutions11
Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection11
The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review11
Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond11
Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework11
Effects of machine learning-based clinical decision support systems on decision-making, care delivery, and patient outcomes: a scoping review11
DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record11
Predictive model-based interventions to reduce outpatient no-shows: a rapid systematic review11
A deep learning approach to identify missingis-arelations in SNOMED CT11
Optimizing the dynamic treatment regime of in-hospital warfarin anticoagulation in patients after surgical valve replacement using reinforcement learning11
Personalizing renal replacement therapy initiation in the intensive care unit: a reinforcement learning-based strategy with external validation on the AKIKI randomized controlled trials10
Effectiveness of non-interruptive nudge interventions in electronic health records to improve the delivery of care in hospitals: a systematic review10
Correction to: Measuring interpersonal firearm violence: natural language processing methods to address limitations in criminal charge data10
Correction to: Refining Boolean queries to identify relevant studies for systematic review updates10
Training digital natives to transform healthcare: a 5-tiered approach for integrating clinical informatics into undergraduate medical education10
Embedding electronic health records onto a knowledge network recognizes prodromal features of multiple sclerosis and predicts diagnosis10
Gender-sensitive word embeddings for healthcare10
Letter to the editors in response to “Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency”10
“It made me feel like I wasn’t alone in the darkness”: exploring dementia care network communication and coordination through a digital health platform10
Priorities to accelerate workflow automation in health care10
Correction to: From illness management to quality of life: rethinking consumer health informatics opportunities for progressive, potentially fatal illnesses10
Associations of perceived discrimination with health outcomes and health disparities in the All of Us cohort10
Advancing women’s participation in climate action through digital health literacy: gaps and opportunities10
Foundational domains and competencies for baccalaureate health informatics education9
Examining medication ordering errors using AHRQ network of patient safety databases9
Growth curve modeling of virtual events and online engagement in a palliative care peer support online health community for adolescents and young adults9
Narrowing the gap: expected versus deployment performance9
Survey of clinical informatics fellows graduating 2016–2024: experiences before and during fellowship9
De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository9
Mapping the delineation of practice to the AMIA foundational domains for applied health informatics9
Safety risks and workflow implications associated with nursing-related free-text communication orders9
Tablet distribution to veterans: an opportunity to increase patient portal adoption and use9
Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review9
Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase9
Are interactive and tailored data visualizations effective in promoting flu vaccination among the elderly? Evidence from a randomized experiment9
Embedding research study recruitment within the patient portal preCheck-in9
Developing electronic clinical quality measures to assess the cancer diagnostic process9
Multi-horizon predictive models for guiding extracorporeal resource allocation in critically ill COVID-19 patients9
VACtrac: enhancing access immunization registry data for population outreach using the Bulk Fast Healthcare Interoperable Resource (FHIR) protocol9
Effect of restricting electronic health records on clinician efficiency: substudy of a randomized clinical trial9
Extracting social determinants of health from clinical note text with classification and sequence-to-sequence approaches9
Community engagement in the development of health-related data visualizations: a scoping review9
The suitability of UMLS and SNOMED-CT for encoding outcome concepts8
The NYU Data Catalog: a modular, flexible infrastructure for data discovery8
Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms8
Privacy-protecting, reliable response data discovery using COVID-19 patient observations8
Designing interactive visualizations for analyzing chronic lung diseases in a user-centered approach8
Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data8
Impact of high-quality, mixed-domain data on the performance of medical language models8
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care8
Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach8
Clickbusters letter response8
Examining standardized consumer-generated social determinants of health and resilience data supported by Omaha System terminology8
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework8
Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables8
New indices to track interoperability among US hospitals8
A general framework for developing computable clinical phenotype algorithms8
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease8
Inpatient nurses’ preferences and decisions with risk information visualization8
Deep sequential neural network models improve stratification of suicide attempt risk among US veterans8
An interpretable predictive deep learning platform for pediatric metabolic diseases8
A national survey of digital health company experiences with electronic health record application programming interfaces8
Variations in digital health literacy for pediatric caregivers of hospitalized children: implications for digital health equity8
Barriers to obtaining and using interoperable information among non-federal acute care hospitals8
Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions8
PresRecST: a novel herbal prescription recommendation algorithm for real-world patients with integration of syndrome differentiation and treatment planning8
Improving reporting standards for phenotyping algorithm in biomedical research: 5 fundamental dimensions8
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records8
Perspectives on implementing models for decision support in clinical care8
Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study7
Clinical implementation of preemptive pharmacogenomics testing for personalized medicine at an academic medical center7
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network7
Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies7
Not all phenotypes are created equal: covariates of success in e-phenotype specification7
The incremental design of a machine learning framework for medical records processing7
Applying natural language processing to patient messages to identify depression concerns in cancer patients7
Implementation of a health information technology safety classification system in the Veterans Health Administration’s Informatics Patient Safety Office7
A dataset and benchmark for hospital course summarization with adapted large language models7
The ongoing French BaMaRa-BNDMR cohort: implementation and deployment of a nationwide information system on rare disease7
National COVID Cohort Collaborative data enhancements: a path for expanding common data models7
Experiences in providing a community educational resource for the All of Us Researcher Workbench7
Comparing penalization methods for linear models on large observational health data7
Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort7
Implementation and impact of an electronic patient reported outcomes system in a phase II multi-site adaptive platform clinical trial for early-stage breast cancer7
CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs7
Use of All of Us data to increase health literacy and research skills in high school students7
A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks7
Transfer learning enables prediction of myocardial injury from continuous single-lead electrocardiography7
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model7
Automating literature screening and curation with applications to computational neuroscience7
Research to classrooms: a co-designed curriculum brings All of Us data to secondary schools7
Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures7
A system-wide approach to digital equity: the Digital Access Coordinator program in primary care7
A model for supporting biomedical and public health researcher use of publicly available All of Us data at Historically Black Colleges and Universities7
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