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Reducing Firearm Access for Suicide Prevention: Implementation Evaluation of the Web-Based “Lock to Live” Decision Aid in Routine Health Care Encounters
Reducing Firearm Access for Suicide Prevention: Implementation Evaluation of the Web-Based “Lock to Live” Decision Aid in Routine Health Care Encounters
Background: Lock To Live (L2L) is a novel web-based decision aid to help people at risk of suicide reduce access to firear...
A Scalable Pseudonymization Tool for Rapid Deployment in Large Biomedical Research Networks: Development and Evaluation Study
A Scalable Pseudonymization Tool for Rapid Deployment in Large Biomedical Research Networks: Development and Evaluation Study
Background: The SARS-CoV-2 pandemic has demonstrated once again that rapid collaborative research is essential for the fut...
CHDmap: One Step Further Toward Integrating Medicine-Based Evidence Into Practice
CHDmap: One Step Further Toward Integrating Medicine-Based Evidence Into Practice
Evidence-based medicine, rooted in randomized controlled trials, offers treatment estimates for the average patient but st...
A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection
A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection
Inhaled corticosteroid (ICS) is a mainstay treatment for controlling asthma and preventing exacerbations in patients with ...
Development of a Trusted Third Party at a Large University Hospital: Design and Implementation Study
Development of a Trusted Third Party at a Large University Hospital: Design and Implementation Study
Background: Pseudonymization has become a best practice to securely manage the identities of patients and study participan...
Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review
Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review
The cognitive load theory suggests that completing a task relies on the interplay between sensory input, working memory, a...
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing: Algorithm Development and Validation Study
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing: Algorithm Development and Validation Study
Background: Large language models (LLMs) have shown remarkable capabilities in natural language processing (NLP), especial...
Evaluating ChatGPT-4’s Diagnostic Accuracy: Impact of Visual Data Integration
Evaluating ChatGPT-4’s Diagnostic Accuracy: Impact of Visual Data Integration
Background: In the evolving field of health care, multimodal generative artificial intelligence (AI) systems, such as Chat...
Effect of Performance-Based Nonfinancial Incentives on Data Quality in Individual Medical Records of Institutional Births: Quasi-Experimental Study
Effect of Performance-Based Nonfinancial Incentives on Data Quality in Individual Medical Records of Institutional Births: Quasi-Experimental Study
Background: Despite the potential of routine health information systems in tackling persistent maternal deaths stemming fr...
Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study
Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study
Background: The rehabilitation of a patient who had a stroke requires precise, personalized treatment plans. Natural langu...
Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review
Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review
Background: The use of social media for disseminating health care information has become increasingly prevalent, making th...
Data-Driven Identification of Factors That Influence the Quality of Adverse Event Reports: 15-Year Interpretable Machine Learning and Time-Series Analyses of VigiBase and QUEST
Data-Driven Identification of Factors That Influence the Quality of Adverse Event Reports: 15-Year Interpretable Machine Learning and Time-Series Analyses of VigiBase and QUEST
Background: The completeness of adverse event (AE) reports, crucial for assessing putative causal relationships, is measur...
Use of Video in Telephone Triage in Out-of-Hours Primary Care: Register-Based Study
Use of Video in Telephone Triage in Out-of-Hours Primary Care: Register-Based Study
Background: Out-of-hours primary care (OOH-PC) is challenged by high workload, workforce shortage, and long waiting and tr...
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study
Background: With the capability to render pre-diagnosis, consumer wearables have the potential to affect subsequent diagno...
Impact of Translation on Biomedical Information Extraction: Experiment on Real-Life Clinical Notes
Impact of Translation on Biomedical Information Extraction: Experiment on Real-Life Clinical Notes
Background: Biomedical natural language processing tasks are best performed with English models, and translation tools hav...
Interpretable Deep Learning System for Identifying Critical Patients Through the Prediction of Triage Level, Hospitalization, and Length of Stay: Prospective Study
Interpretable Deep Learning System for Identifying Critical Patients Through the Prediction of Triage Level, Hospitalization, and Length of Stay: Prospective Study
Background: Triage is the process of accurately assessing patients’ symptoms and providing them with proper clinical treat...
A Mobile App (Concerto) to Empower Hospitalized Patients in a Swiss University Hospital: Development, Design, and Implementation Report
A Mobile App (Concerto) to Empower Hospitalized Patients in a Swiss University Hospital: Development, Design, and Implementation Report
Background: Patient empowerment can be associated with better health outcomes, especially in the management of chronic dis...
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...
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...
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 ...
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...
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...
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...
Learnings From Implementation of Technology-Enabled Mental Health Interventions in India: Implementation Report
Learnings From Implementation of Technology-Enabled Mental Health Interventions in India: Implementation Report
Background: Recent years have witnessed an increase in the use of technology-enabled interventions for delivering mental h...
Improving Prediction of Survival for Extremely Premature Infants Born at 23 to 29 Weeks Gestational Age in the Neonatal Intensive Care Unit: Development and Evaluation of Machine Learning Models
Improving Prediction of Survival for Extremely Premature Infants Born at 23 to 29 Weeks Gestational Age in the Neonatal Intensive Care Unit: Development and Evaluation of Machine Learning Models
Background: Infants born at extremely preterm gestational ages are typically admitted to the neonatal intensive care unit ...
Use of Metadata-Driven Approaches for Data Harmonization in the Medical Domain: Scoping Review
Use of Metadata-Driven Approaches for Data Harmonization in the Medical Domain: Scoping Review
Background: Multisite clinical studies are increasingly using real-world data to gain real-world evidence. However, due to...
The Current Status and Promotional Strategies for Cloud Migration of Hospital Information Systems in China: Strengths, Weaknesses, Opportunities, and Threats Analysis
The Current Status and Promotional Strategies for Cloud Migration of Hospital Information Systems in China: Strengths, Weaknesses, Opportunities, and Threats Analysis
Background: In the 21st century, Chinese hospitals have witnessed innovative medical business models, such as online diagn...
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