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Building a Foundation for High-Quality Health Data: Multihospital Case Study in Belgium
Building a Foundation for High-Quality Health Data: Multihospital Case Study in Belgium
Background: Data quality is fundamental to maintain the trust and reliability of health data for both primary and secondar...
Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study
Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study
Background: Traditional rule-based natural language processing approaches in electronic health record systems are effectiv...
An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study
An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study
Background: Rare diseases affect millions worldwide but sometimes face limited research focus individually due to low prev...
Information Mode–Dependent Success Rates of Obtaining German Medical Informatics Initiative–Compliant Broad Consent in the Emergency Department: Single-Center Prospective Observational Study
Information Mode–Dependent Success Rates of Obtaining German Medical Informatics Initiative–Compliant Broad Consent in the Emergency Department: Single-Center Prospective Observational Study
Background: The broad consent (BC) developed by the German Medical Informatics Initiative is a pivotal national strategy f...
Survival After Radical Cystectomy for Bladder Cancer: Development of a Fair Machine Learning Model
Survival After Radical Cystectomy for Bladder Cancer: Development of a Fair Machine Learning Model
Background: Prediction models based on machine learning (ML) methods are being increasingly developed and adopted in healt...
Enhancing Standardized and Structured Recording by Elderly Care Physicians for Reusing Electronic Health Record Data: Interview Study
Enhancing Standardized and Structured Recording by Elderly Care Physicians for Reusing Electronic Health Record Data: Interview Study
Background: Elderly care physicians (ECPs) in nursing homes document patients’ health, medical conditions, and the care pr...
Development, Implementation, and Evaluation Methods for Dashboards in Health Care: Scoping Review
Development, Implementation, and Evaluation Methods for Dashboards in Health Care: Scoping Review
Background: Dashboards have become ubiquitous in health care settings, but to achieve their goals they must be developed, ...
Information Source Characteristics of Personal Data Leakage During the COVID-19 Pandemic in China: Observational Study
Information Source Characteristics of Personal Data Leakage During the COVID-19 Pandemic in China: Observational Study
Background: In the period of preventing and controlling the spread of COVID-19 pandemic, a large amount of personal data w...
Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Development and Validation Study
Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Development and Validation Study
Background: In medical imaging, 3D visualization is vital for displaying volumetric organs, enhancing diagnosis and analys...
EyeMatics: An Ophthalmology Use Case Within the German Medical Informatics Initiative
EyeMatics: An Ophthalmology Use Case Within the German Medical Informatics Initiative
The EyeMatics project, embedded as a clinical use case in Germany's Medical Informatics Initiative, is a large digita...
Digital Solutions for Health Services and Systems Management: Narrative Review of Certified Software Features in the Brazilian Market
Digital Solutions for Health Services and Systems Management: Narrative Review of Certified Software Features in the Brazilian Market
The paper reviews digital solutions for health services management in Brazil, focusing on certified software features. It ...
The University Medicine Greifswald’s Trusted Third Party Dispatcher: State-of-the-Art Perspective Into Comprehensive Architectures and Complex Research Workflows
The University Medicine Greifswald’s Trusted Third Party Dispatcher: State-of-the-Art Perspective Into Comprehensive Architectures and Complex Research Workflows
With great interest we read the article entitled “Development of a Trusted Third Party at a Large University Hospital: Des...
Authors’ Reply: The University Medicine Greifswald’s Trusted Third Party Dispatcher: State-of-the-Art Perspective Into Comprehensive Architectures and Complex Research Workflows
Authors’ Reply: The University Medicine Greifswald’s Trusted Third Party Dispatcher: State-of-the-Art Perspective Into Comprehensive Architectures and Complex Research Workflows
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Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis
Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis
Background: Social media platforms allow individuals to openly gather, communicate, and share information about their inte...
Design and Implementation of a Dashboard for Drug Interactions Mediated by Cytochromes Using a Health Care Data Warehouse in a University Hospital Center: Development Study
Design and Implementation of a Dashboard for Drug Interactions Mediated by Cytochromes Using a Health Care Data Warehouse in a University Hospital Center: Development Study
Background: The enzymatic system of cytochrome P450 (CYP450) is a group of enzymes involved in the metabolism of drugs pre...
A Multivariable Prediction Model for Mild Cognitive Impairment and Dementia: Algorithm Development and Validation
A Multivariable Prediction Model for Mild Cognitive Impairment and Dementia: Algorithm Development and Validation
Background: Mild cognitive impairment (MCI) poses significant challenges in early diagnosis and timely intervention. Under...
Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation
Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation
Background: Atrial fibrillation (AF) is a progressive disease, and its clinical type is classified according to the AF dur...
Factors Contributing to Successful Information System Implementation and Employee Well-Being in Health Care and Social Welfare Professionals: Comparative Cross-Sectional Study
Factors Contributing to Successful Information System Implementation and Employee Well-Being in Health Care and Social Welfare Professionals: Comparative Cross-Sectional Study
Background: The integration of information systems in healthcare and social welfare organizations has brought significant ...
Chinese Clinical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Mechanism: Algorithm Development and Validation
Chinese Clinical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Mechanism: Algorithm Development and Validation
Background: Clinical named entity recognition (CNER) is a fundamental task in natural language processing used to extract ...
Data Ownership in the AI-Powered Integrative Health Care Landscape
Data Ownership in the AI-Powered Integrative Health Care Landscape
In the rapidly advancing landscape of artificial intelligence (AI) within integrative health care (IHC), the issue of data...
Medication Prescription Policy for US Veterans With Metastatic Castration-Resistant Prostate Cancer: Causal Machine Learning Approach
Medication Prescription Policy for US Veterans With Metastatic Castration-Resistant Prostate Cancer: Causal Machine Learning Approach
Background: Prostate cancer is the second leading cause of death among American men. If detected and treated at an early s...
Predicting Pain Response to a Remote Musculoskeletal Care Program for Low Back Pain Management: Development of a Prediction Tool
Predicting Pain Response to a Remote Musculoskeletal Care Program for Low Back Pain Management: Development of a Prediction Tool
Background: Low back pain (LBP) presents with diverse manifestations, necessitating personalized treatment approaches that...
Bidirectional Long Short-Term Memory–Based Detection of Adverse Drug Reaction Posts Using Korean Social Networking Services Data: Deep Learning Approaches
Bidirectional Long Short-Term Memory–Based Detection of Adverse Drug Reaction Posts Using Korean Social Networking Services Data: Deep Learning Approaches
Background: Social networking services (SNS) closely reflect the lives of individuals in modern society and generate large...
Task-Specific Transformer-Based Language Models in Health Care: Scoping Review
Task-Specific Transformer-Based Language Models in Health Care: Scoping Review
Background: Transformer-based language models have shown great potential to revolutionize health care by advancing clinica...
Distributed Statistical Analyses: A Scoping Review and Examples of Operational Frameworks Adapted to Health Analytics
Distributed Statistical Analyses: A Scoping Review and Examples of Operational Frameworks Adapted to Health Analytics
Background: Data from multiple organizations are crucial for advancing learning health systems. However, ethical, legal, a...
Unintended Consequences of Data Sharing Under the Meaningful Use Program
Unintended Consequences of Data Sharing Under the Meaningful Use Program
Interoperability has been designed to improve the quality and efficiency of healthcare. Interoperability allows the Cente...
Exploring the Potential of Claude 3 Opus in Renal Pathological Diagnosis: Performance Evaluation
Exploring the Potential of Claude 3 Opus in Renal Pathological Diagnosis: Performance Evaluation
Background: Artificial intelligence (AI) has shown great promise in assisting medical diagnosis, but its application in re...
Completion Rate and Satisfaction With Online Computer-Assisted History Taking Questionnaires in Orthopedics: Multicenter Implementation Report
Completion Rate and Satisfaction With Online Computer-Assisted History Taking Questionnaires in Orthopedics: Multicenter Implementation Report
Background: Collecting the medical history during a first outpatient consultation plays a crucial role in making a diagnos...
Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of Methods
Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of Methods
Background: Artificial intelligence (AI) is rapidly being adopted to build products and aid in the decision-making process...
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...
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