SCI Abstract

search
+
Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study
Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study
Background: Social media is acknowledged by regulatory bodies (eg, the Food and Drug Administration) as an important sourc...
Optimizing an Electronic Health Record System Used to Help Health Care Professionals Comply With a Standardized Care Pathway for Heart Failure During the Transition From Hospital To Chronic Care: Qualitative Semistructured Interview Study
Optimizing an Electronic Health Record System Used to Help Health Care Professionals Comply With a Standardized Care Pathway for Heart Failure During the Transition From Hospital To Chronic Care: Qualitative Semistructured Interview Study
Background: In Spain, the prevalence of heart failure is twice the European average, partly due to inadequate patient mana...
Ensuring General Data Protection Regulation Compliance and Security in a Clinical Data Warehouse From a University Hospital: Implementation Study
Ensuring General Data Protection Regulation Compliance and Security in a Clinical Data Warehouse From a University Hospital: Implementation Study
Background: The digital transformation of health data has enabled the utilization of advanced data analytics and Artificia...
Effect of Smartphone-Based Messaging on Interns and Nurses at an Academic Medical Center: Observational Study
Effect of Smartphone-Based Messaging on Interns and Nurses at an Academic Medical Center: Observational Study
Background: The increasing use of secure messaging in medical centers has led to concerns about alert fatigue and the impa...
Effect of Uncertainty-Aware AI Models on Pharmacists’ Reaction Time and Decision-Making in a Web-Based Mock Medication Verification Task: Randomized Controlled Trial
Effect of Uncertainty-Aware AI Models on Pharmacists’ Reaction Time and Decision-Making in a Web-Based Mock Medication Verification Task: Randomized Controlled Trial
Background: Artificial intelligence (AI)-based clinical decision support systems are increasingly used in healthcare. Unce...
Daily Automated Prediction of Delirium Risk in Hospitalized Patients: Model Development and Validation
Daily Automated Prediction of Delirium Risk in Hospitalized Patients: Model Development and Validation
Background: Delirium is common in hospitalized patients and is correlated with increased morbidity and mortality. Despite ...
The Anemia Risk Warning Model Based on a Noninvasive Method: Key Insights and Clarifications
The Anemia Risk Warning Model Based on a Noninvasive Method: Key Insights and Clarifications
We recently read with great interest the article by Zhang et al [], which presents a noninvasive technique for diagnosing ...
Authors’ Reply: The Anemia Risk Warning Model Based on a Noninvasive Method: Key Insights and Clarifications
Authors’ Reply: The Anemia Risk Warning Model Based on a Noninvasive Method: Key Insights and Clarifications
JMIR Med Inform 2025;13:e74333doi:10.2196/74333KeywordsWe sincerely appreciate your thoughtful and constructive comments o...
Prediction of Snacking Behavior Involving Snacks Having High Levels of Saturated Fats, Salt, or Sugar Using Only Information on Previous Instances of Snacking: Survey- and App-Based Study
Prediction of Snacking Behavior Involving Snacks Having High Levels of Saturated Fats, Salt, or Sugar Using Only Information on Previous Instances of Snacking: Survey- and App-Based Study
Background: Consuming high amounts of foods or beverages with high levels of saturated fats, salt, or sugar (HFSS) can be ...
Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study
Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study
Background: Critically ill patients in Intensive Care Units (ICU) require continuous monitoring, generating vast amounts o...
Exploring Health Care Professionals’ Perspectives on the Use of a Medication and Care Support System and Recommendations for Designing a Similar Tool for Family Caregivers: Interview Study Among Health Care Professionals
Exploring Health Care Professionals’ Perspectives on the Use of a Medication and Care Support System and Recommendations for Designing a Similar Tool for Family Caregivers: Interview Study Among Health Care Professionals
Background: With the aging population on the rise, the demand for effective health care solutions to address adverse drug ...
Targeted Development and Validation of Clinical Prediction Models in Secondary Care Settings: Opportunities and Challenges for Electronic Health Record Data
Targeted Development and Validation of Clinical Prediction Models in Secondary Care Settings: Opportunities and Challenges for Electronic Health Record Data
Before deploying a clinical prediction model (CPM) in clinical practice, its performance needs to be demonstrated in the p...
The Impact of International Classification of Disease–Triggered Prescription Support on Telemedicine: Observational Analysis of Efficiency and Guideline Adherence
The Impact of International Classification of Disease–Triggered Prescription Support on Telemedicine: Observational Analysis of Efficiency and Guideline Adherence
Background: Integrating decision support systems into telemedicine may optimize consultation efficiency and adherence to c...
Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation
Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation
Background: Assessing disease progression among uncontrolled hypertension (HTN) patients is important for identifying oppo...
A New Natural Language Processing–Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study
A New Natural Language Processing–Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study
Background: Proper analysis and interpretation of health care data can significantly improve patient outcomes by enhancing...
Multifaceted Natural Language Processing Task–Based Evaluation of Bidirectional Encoder Representations From Transformers Models for Bilingual (Korean and English) Clinical Notes: Algorithm Development and Validation
Multifaceted Natural Language Processing Task–Based Evaluation of Bidirectional Encoder Representations From Transformers Models for Bilingual (Korean and English) Clinical Notes: Algorithm Development and Validation
Background: The bidirectional encoder representations from transformers (BERT) model has attracted considerable attention ...
Leveraging Artificial Intelligence and Data Science for Integration of Social Determinants of Health in Emergency Medicine: Scoping Review
Leveraging Artificial Intelligence and Data Science for Integration of Social Determinants of Health in Emergency Medicine: Scoping Review
Background: Social Determinants of Health (SDOH) are critical drivers of health disparities and patient outcomes. However,...
Electronic Health Record Data Quality and Performance Assessments: Scoping Review
Electronic Health Record Data Quality and Performance Assessments: Scoping Review
Background: Electronic Health Records (EHRs) have an enormous potential to advance medical research and practice through e...
Clinical Decision Support to Increase Emergency Department Naloxone Coprescribing: Implementation Report
Clinical Decision Support to Increase Emergency Department Naloxone Coprescribing: Implementation Report
Background: Co-prescribing naloxone with opioid analgesics is a Centers for Disease Control and Prevention best practice t...
Enhancing Clinical History Taking Through the Implementation of a Streamlined Electronic Questionnaire System at a Pediatric Headache Clinic: Development and Evaluation Study
Enhancing Clinical History Taking Through the Implementation of a Streamlined Electronic Questionnaire System at a Pediatric Headache Clinic: Development and Evaluation Study
Background: Accurate history-taking is essential for diagnosis, treatment, and patient care, yet miscommunications and tim...
Construction of a Multi-Label Classifier for Extracting Multiple Incident Factors From Medication Incident Reports in Residential Care Facilities: Natural Language Processing Approach
Construction of a Multi-Label Classifier for Extracting Multiple Incident Factors From Medication Incident Reports in Residential Care Facilities: Natural Language Processing Approach
Background: Medication safety in residential care facilities is a critical concern, particularly when nonmedical staff pro...
Prediction of In-Hospital Cardiac Arrest in the Intensive Care Unit: Machine Learning–Based Multimodal Approach
Prediction of In-Hospital Cardiac Arrest in the Intensive Care Unit: Machine Learning–Based Multimodal Approach
Background: Early identification of impending in-hospital cardiac arrest (IHCA) improves clinical outcomes but remains elu...
Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data
Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data
Background: Interpretability and intuitive visualization facilitate medical knowledge generation through big data. In addi...
Telehealth Uptake Among Hispanic People During COVID-19: Retrospective Observational Study
Telehealth Uptake Among Hispanic People During COVID-19: Retrospective Observational Study
Background: The Hispanic community represents a sizeable community that experiences inequities in the United States health...
Hjernetegn.dk—The Danish Central Nervous System Tumor Awareness Initiative Digital Decision Support Tool: Design and Implementation Report
Hjernetegn.dk—The Danish Central Nervous System Tumor Awareness Initiative Digital Decision Support Tool: Design and Implementation Report
Background: Childhood tumors in the central nervous system (CNS) have longer diagnostic delays than other pediatric tumors...
Impact of Large Language Models on Medical Education and Teaching Adaptations
Impact of Large Language Models on Medical Education and Teaching Adaptations
This viewpoint article explores the transformative impact of Chat Generative Pre-trained Transformer (ChatGPT) on medical ...
Maturity Assessment of District Health Information System Version 2 Implementation in Ethiopia: Current Status and Improvement Pathways
Maturity Assessment of District Health Information System Version 2 Implementation in Ethiopia: Current Status and Improvement Pathways
Background: Although Ethiopia has made remarkable progress in the uptake of the District Health Information System version...
Unsupervised Feature Selection to Identify Important ICD-10 and ATC Codes for Machine Learning on a Cohort of Patients With Coronary Heart Disease: Retrospective Study
Unsupervised Feature Selection to Identify Important ICD-10 and ATC Codes for Machine Learning on a Cohort of Patients With Coronary Heart Disease: Retrospective Study
Background: The application of machine learning in healthcare often necessitates the use of hierarchical codes such as the...
Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study
Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study
Background: Artificial intelligence (AI) chatbots have recently gained use in medical practice by health care practitioner...
Research on Traditional Chinese Medicine: Domain Knowledge Graph Completion and Quality Evaluation
Research on Traditional Chinese Medicine: Domain Knowledge Graph Completion and Quality Evaluation
Background: Knowledge graphs (KGs) can integrate domain knowledge into a traditional Chinese medicine (TCM) intelligent sy...
Load More
format_indent_increase