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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...
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...
Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice
Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice
Integrating machine learning (ML) models into clinical practice presents a challenge of maintaining their efficacy over ti...
Data Set and Benchmark (MedGPTEval) to Evaluate Responses From Large Language Models in Medicine: Evaluation Development and Validation
Data Set and Benchmark (MedGPTEval) to Evaluate Responses From Large Language Models in Medicine: Evaluation Development and Validation
Background: Large language models (LLMs) have achieved great progress in natural language processing tasks and demonstrate...
Is Boundary Annotation Necessary? Evaluating Boundary-Free Approaches to Improve Clinical Named Entity Annotation Efficiency: Case Study
Is Boundary Annotation Necessary? Evaluating Boundary-Free Approaches to Improve Clinical Named Entity Annotation Efficiency: Case Study
Background: Named entity recognition (NER) is a fundamental task in natural language processing. However, it is typically ...
Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study
Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study
Background: To circumvent regulatory barriers that limit medical data exchange due to personal information security concer...
Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study
Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study
Background: Acute kidney injury (AKI) is a marker of clinical deterioration and renal toxicity. While there are many stu...
Integrating Clinical Data and Medical Imaging in Lung Cancer: Feasibility Study Using the Observational Medical Outcomes Partnership Common Data Model Extension
Integrating Clinical Data and Medical Imaging in Lung Cancer: Feasibility Study Using the Observational Medical Outcomes Partnership Common Data Model Extension
Background: Digital transformation, particularly the integration of medical imaging with clinical data, is vital in person...
Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review
Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review
Background: Some research has already reported the diagnostic value of artificial intelligence (AI) in different endoscopy...
Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study
Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study
Background: Large language models show promise for improving radiology workflows, but their performance on structured radi...
Data Lake, Data Warehouse, Datamart, and Feature Store: Their Contributions to the Complete Data Reuse Pipeline
Data Lake, Data Warehouse, Datamart, and Feature Store: Their Contributions to the Complete Data Reuse Pipeline
The growing adoption and utilization of health information technology has generated a wealth of clinical data in electroni...
The Information and Communication Technology Maturity Assessment at Primary Health Care Services Across 9 Provinces in Indonesia: Evaluation Study
The Information and Communication Technology Maturity Assessment at Primary Health Care Services Across 9 Provinces in Indonesia: Evaluation Study
Background: Indonesia has rapidly embraced digital health, particularly during the COVID-19 pandemic, with over 15 million...
Knowledge Graph for Breast Cancer Prevention and Treatment: Literature-Based Data Analysis Study
Knowledge Graph for Breast Cancer Prevention and Treatment: Literature-Based Data Analysis Study
Background: The incidence of breast cancer has remained high and continues to rise since the 21st century. Consequently, t...
Prediction of Antibiotic Resistance in Patients With a Urinary Tract Infection: Algorithm Development and Validation
Prediction of Antibiotic Resistance in Patients With a Urinary Tract Infection: Algorithm Development and Validation
Background: The early prediction of antibiotic resistance in patients with a urinary tract infection (UTI) is important to...
Real-World Data Quality Framework for Oncology Time to Treatment Discontinuation Use Case: Implementation and Evaluation Study
Real-World Data Quality Framework for Oncology Time to Treatment Discontinuation Use Case: Implementation and Evaluation Study
Background: The importance of real-world evidence is widely recognized in observational oncology studies. However, the lac...
Frameworks, Dimensions, Definitions of Aspects, and Assessment Methods for the Appraisal of Quality of Health Data for Secondary Use: Comprehensive Overview of Reviews
Frameworks, Dimensions, Definitions of Aspects, and Assessment Methods for the Appraisal of Quality of Health Data for Secondary Use: Comprehensive Overview of Reviews
Background: Health care has not reached the full potential of the secondary use of health data because of—among other issu...
The Key Digital Tool Features of Complex Telehealth Interventions Used for Type 2 Diabetes Self-Management and Monitoring With Health Professional Involvement: Scoping Review
The Key Digital Tool Features of Complex Telehealth Interventions Used for Type 2 Diabetes Self-Management and Monitoring With Health Professional Involvement: Scoping Review
Background: Therapeutic education and patient self-management are crucial in diabetes prevention and treatment. Improving ...
Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review
Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review
Background: Generative artificial intelligence tools and applications (GenAI) are being increasingly used in health care. ...
Impact of a Nationwide Medication History Sharing Program on the Care Process and End-User Experience in a Tertiary Teaching Hospital: Cohort Study and Cross-Sectional Study
Impact of a Nationwide Medication History Sharing Program on the Care Process and End-User Experience in a Tertiary Teaching Hospital: Cohort Study and Cross-Sectional Study
Background: Timely and comprehensive collection of patient’s medication history in the emergency department (ED) is crucia...
Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study
Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study
Background: Predicting the bed occupancy rate (BOR) is essential for efficient hospital resource management, long-term bud...
The Effect of an Electronic Medical Record–Based Clinical Decision Support System on Adherence to Clinical Protocols in Inflammatory Bowel Disease Care: Interrupted Time Series Study
The Effect of an Electronic Medical Record–Based Clinical Decision Support System on Adherence to Clinical Protocols in Inflammatory Bowel Disease Care: Interrupted Time Series Study
Background: Electronic medical record (EMR) (also called electronic health record (EHR)) embedded clinical decision suppor...
Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study
Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study
Background: Patients with lung cancer are among the most frequent visitors to emergency departments due to cancer-related ...
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