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Evaluation of a Telemonitoring System Using Electronic National Early Warning Scores for Patients Receiving Medical Home Care: Pilot Implementation Study
Evaluation of a Telemonitoring System Using Electronic National Early Warning Scores for Patients Receiving Medical Home Care: Pilot Implementation Study
Background: Telehealth programs and wearable sensors that enable patients to monitor their vital signs have expanded due t...
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...
Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study
Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study
Background: Heart failure patients frequently face the possibility of rehospitalization following an initial hospital stay...
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...
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...
Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text
Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text
Background: Machine learning models can reduce the burden on doctors by converting medical records into International Clas...
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 ...
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...
Effectiveness of the Facility for Elderly Surveillance System (FESSy) in Two Public Health Center Jurisdictions in Japan: Prospective Observational Study
Effectiveness of the Facility for Elderly Surveillance System (FESSy) in Two Public Health Center Jurisdictions in Japan: Prospective Observational Study
Background: Residents of elderly facilities are vulnerable to COVID-19 outbreaks. Nevertheless, timely recognition of outb...
Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study
Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study
Background: Large language models (LLMs) have been proposed as valuable tools in medical education and practice. The Chine...
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 ...
Exploring Whether the Electronic Optimization of Routine Health Assessments Can Increase Testing for Sexually Transmitted Infections and Provider Acceptability at an Aboriginal Community Controlled Health Service: Mixed Methods Evaluation
Exploring Whether the Electronic Optimization of Routine Health Assessments Can Increase Testing for Sexually Transmitted Infections and Provider Acceptability at an Aboriginal Community Controlled Health Service: Mixed Methods Evaluation
Background: In the context of a syphilis outbreak in neighboring states, a multifaceted systems change to increase testing...
Detection of Suicidal Ideation in Clinical Interviews for Depression Using Natural Language Processing and Machine Learning: Cross-Sectional Study
Detection of Suicidal Ideation in Clinical Interviews for Depression Using Natural Language Processing and Machine Learning: Cross-Sectional Study
Background: Assessing patients’ suicide risk is challenging, especially among those who deny suicidal ideation. Primary ca...
Applications of the Natural Language Processing Tool ChatGPT in Clinical Practice: Comparative Study and Augmented Systematic Review
Applications of the Natural Language Processing Tool ChatGPT in Clinical Practice: Comparative Study and Augmented Systematic Review
Background: This research integrates a comparative analysis of the performance of human researchers and OpenAI's Chat...
Patient Information Summarization in Clinical Settings: Scoping Review
Patient Information Summarization in Clinical Settings: Scoping Review
Background: Information overflow, a common problem in the present clinical environment, can be mitigated by summarizing cl...
Standardized Comparison of Voice-Based Information and Documentation Systems to Established Systems in Intensive Care: Crossover Study
Standardized Comparison of Voice-Based Information and Documentation Systems to Established Systems in Intensive Care: Crossover Study
Background: The medical teams in intensive care units (ICUs) spend increasing amounts of time at computer systems for data...
The Roles of Electronic Health Records for Clinical Trials in Low- and Middle-Income Countries: Scoping Review
The Roles of Electronic Health Records for Clinical Trials in Low- and Middle-Income Countries: Scoping Review
Background: Clinical trials are a crucial element in advancing medical knowledge and developing new treatments by establis...
Synthetic Tabular Data Based on Generative Adversarial Networks in Health Care: Generation and Validation Using the Divide-and-Conquer Strategy
Synthetic Tabular Data Based on Generative Adversarial Networks in Health Care: Generation and Validation Using the Divide-and-Conquer Strategy
Background: Synthetic data generation (SDG) based on generative adversarial networks (GANs) is used in health care, but re...
A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation
A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation
Background: Best Practice Alerts (BPAs) are alert messages to physicians in the electronic health record that are used to ...
Machine Learning Models for Blood Glucose Level Prediction in Patients With Diabetes Mellitus: Systematic Review and Network Meta-Analysis
Machine Learning Models for Blood Glucose Level Prediction in Patients With Diabetes Mellitus: Systematic Review and Network Meta-Analysis
Background: Machine learning (ML) models provide more choices to patients with diabetes mellitus (DM) to more properly man...
Artificial Intelligence–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review
Artificial Intelligence–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review
Background: Transformer-based models are gaining popularity in medical imaging and cancer imaging applications. Many recen...
Extracting Clinical Information From Japanese Radiology Reports Using a 2-Stage Deep Learning Approach: Algorithm Development and Validation
Extracting Clinical Information From Japanese Radiology Reports Using a 2-Stage Deep Learning Approach: Algorithm Development and Validation
Background: Radiology reports are usually written in a free-text format, which makes it challenging to reuse the reports. ...
Clinical Decision Support to Reduce Opioid Prescriptions for Dental Extractions using SMART on FHIR: Implementation Report
Clinical Decision Support to Reduce Opioid Prescriptions for Dental Extractions using SMART on FHIR: Implementation Report
Background: Clinical decision support (CDS) has the potential to improve clinical decision-making consistent with evidence...
Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study
Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study
Background: National classifications and terminologies already routinely used for documentation within patient care settin...
How People With a Bipolar Disorder Diagnosis Talk About Personal Recovery in Peer Online Support Forums: Corpus Framework Analysis Using the POETIC Framework
How People With a Bipolar Disorder Diagnosis Talk About Personal Recovery in Peer Online Support Forums: Corpus Framework Analysis Using the POETIC Framework
Background: Personal recovery is of particular value in bipolar disorder where symptoms often persist despite treatment. T...
The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research
The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research
Background: Investigating low-prevalence diseases such as multiple sclerosis is challenging because of the rather small nu...
Implementing Clinical Information Systems in Sub-Saharan Africa: Report and Lessons Learned From the MatLook Project in Cameroon
Implementing Clinical Information Systems in Sub-Saharan Africa: Report and Lessons Learned From the MatLook Project in Cameroon
Background: Yaoundé Central Hospital (YCH), located in the capital of Cameroon, is one of the leading referral hospitals i...
The Journey of Zanzibar’s Digitally Enabled Community Health Program to National Scale: Implementation Report
The Journey of Zanzibar’s Digitally Enabled Community Health Program to National Scale: Implementation Report
Background: While high-quality primary health care services can meet 80%-90% of health needs over a person’s lifetime, thi...
ChatGPT-Generated Differential Diagnosis Lists for Complex Case–Derived Clinical Vignettes: Diagnostic Accuracy Evaluation
ChatGPT-Generated Differential Diagnosis Lists for Complex Case–Derived Clinical Vignettes: Diagnostic Accuracy Evaluation
Background: The diagnostic accuracy of differential diagnoses generated by artificial intelligence chatbots, including Cha...
A Multilabel Text Classifier of Cancer Literature at the Publication Level: Methods Study of Medical Text Classification
A Multilabel Text Classifier of Cancer Literature at the Publication Level: Methods Study of Medical Text Classification
Background: Given the threat posed by cancer to human health, there is a rapid growth in the volume of data in the cancer ...
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