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Digital Health Innovations to Catalyze the Transition to Value-Based Health Care
Digital Health Innovations to Catalyze the Transition to Value-Based Health Care
The healthcare industry is currently going through a transformation, due to the integration of technologies and the shift ...
Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study
Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study
Background: Postpartum depression (PPD) is a prevalent mental health issue with significant impacts on mothers and familie...
Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study
Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study
Background: Prediction models have demonstrated a range of applications across medicine, including using electronic health...
A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study
A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study
Background: The prompt and accurate identification of mild cognitive impairment (MCI) is crucial for preventing its progre...
Performance of Artificial Intelligence Chatbots on Ultrasound Examinations: Cross-Sectional Comparative Analysis
Performance of Artificial Intelligence Chatbots on Ultrasound Examinations: Cross-Sectional Comparative Analysis
Background: Artificial intelligence chatbots, including those used in the field of ultrasound, are increasingly used to an...
Patients’ Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study
Patients’ Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study
Background: The field of digital health solutions (DHS) has grown tremendously over the past years. DHS include tools for ...
Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users
Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users
Background: Mental health chatbots have emerged as a promising tool for providing accessible and convenient support to ind...
The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis
The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis
Background: In this study, we evaluate the accuracy, efficiency, and cost-effectiveness of large language models in extrac...
Effectiveness of Outpatient Chronic Pain Management for Middle-Aged Patients by Internet Hospitals: Retrospective Cohort Study
Effectiveness of Outpatient Chronic Pain Management for Middle-Aged Patients by Internet Hospitals: Retrospective Cohort Study
Background: Chronic pain is widespread and carries a heavy disease burden, and there is a lack of effective out-of-hospita...
Visualizing Patient Pathways and Identifying Data Repositories in a UK Neurosciences Center: Exploratory Study
Visualizing Patient Pathways and Identifying Data Repositories in a UK Neurosciences Center: Exploratory Study
Background: Health and clinical activity data are a vital resource for research, improving patient care and service effici...
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...
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...
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 ...