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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...
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...
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,...
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...
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...
Accelerating Evidence Synthesis in Observational Studies: Development of a Living Natural Language Processing–Assisted Intelligent Systematic Literature Review System
Accelerating Evidence Synthesis in Observational Studies: Development of a Living Natural Language Processing–Assisted Intelligent Systematic Literature Review System
Background: Systematic literature review (SLR), a robust method to identify and summarize evidence from published sources,...
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 ...
Health Care Language Models and Their Fine-Tuning for Information Extraction: Scoping Review
Health Care Language Models and Their Fine-Tuning for Information Extraction: Scoping Review
Background: In response to the intricate language, specialized terminology outside everyday life, and the frequent presenc...
A Generic Transformation Approach for Complex Laboratory Data Using the Fast Healthcare Interoperability Resources Mapping Language: Method Development and Implementation
A Generic Transformation Approach for Complex Laboratory Data Using the Fast Healthcare Interoperability Resources Mapping Language: Method Development and Implementation
Background: Reaching meaningful interoperability between proprietary healthcare systems is a ubiquitous task in medical in...
Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study
Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study
Background: Named entity recognition (NER) models are essential for extracting structured information from unstructured me...
Applying the Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability Framework Across Implementation Stages to Identify Key Strategies to Facilitate Clinical Decision Support System Integration Within a Large Metropolitan Health Service: Interview and Focus Group Study
Applying the Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability Framework Across Implementation Stages to Identify Key Strategies to Facilitate Clinical Decision Support System Integration Within a Large Metropolitan Health Service: Interview and Focus Group Study
Background: Computerized clinical decision support systems (CDSSs) enhance patient care through real-time, evidence-based ...
Semiology Extraction and Machine Learning–Based Classification of Electronic Health Records for Patients With Epilepsy: Retrospective Analysis
Semiology Extraction and Machine Learning–Based Classification of Electronic Health Records for Patients With Epilepsy: Retrospective Analysis
Background: Obtaining and describing the semiology efficiently and classifying seizures types correctly are crucial for th...
Application of Information Link Control in Surgical Specimen Near-Miss Events in a South China Hospital: Nonrandomized Controlled Study
Application of Information Link Control in Surgical Specimen Near-Miss Events in a South China Hospital: Nonrandomized Controlled Study
Background: Information control is a promising approach for managing surgical specimens. However, there is limited researc...
Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review
Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review
Background: Electronic medical records (EMRs) contain large amounts of detailed clinical information. Using chart review t...
Bridging Data Models in Health Care With a Novel Intermediate Query Format for Feasibility Queries: Mixed Methods Study
Bridging Data Models in Health Care With a Novel Intermediate Query Format for Feasibility Queries: Mixed Methods Study
Background: To advance research with clinical data, it is essential to make access to the available data as fast and easy ...
Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review
Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review
Background: Electronic health records (EHRs) commonly contain patient addresses that provide valuable data for geocoding a...
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