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Development and Implementation of Automated Referral Triaging System for Spinal Cord Stimulation Procedure in Pain Medicine
Development and Implementation of Automated Referral Triaging System for Spinal Cord Stimulation Procedure in Pain Medicine
Effective referral triaging enhances patient service outcomes, experience and access to care especially for specialized pr...
Influence of Practitioner Dashboard Feedback on Anesthetic Greenhouse Gas Emissions: A Prospective Performance Improvement Investigation
Influence of Practitioner Dashboard Feedback on Anesthetic Greenhouse Gas Emissions: A Prospective Performance Improvement Investigation
Anesthetic gases contribute to global warming. We described a two-year performance improvement project to examine the asso...
Effectiveness of Mobile Health Intervention in Medication Adherence: a Systematic Review and Meta-Analysis
Effectiveness of Mobile Health Intervention in Medication Adherence: a Systematic Review and Meta-Analysis
Low medication adherence poses a great risk of poor treatment outcomes among patients with chronic diseases. Recently, mob...
Assessing the Efficacy of ChatGPT Prompting Strategies in Enhancing Thyroid Cancer Patient Education: A Prospective Study
Assessing the Efficacy of ChatGPT Prompting Strategies in Enhancing Thyroid Cancer Patient Education: A Prospective Study
With the rise of AI platforms, patients increasingly use them for information, relying on advanced language models like Ch...
Forecasting Mortality Associated Emergency Department Crowding with LightGBM and Time Series Data
Forecasting Mortality Associated Emergency Department Crowding with LightGBM and Time Series Data
Emergency department (ED) crowding is a global public health issue that has been repeatedly associated with increased mort...
Could Empathy Be Taught? The Role of Advanced Technologies to Foster Empathy in Medical Students and Healthcare Professionals: A Systematic Review
Could Empathy Be Taught? The Role of Advanced Technologies to Foster Empathy in Medical Students and Healthcare Professionals: A Systematic Review
The physician-patient relationship relies mostly on doctors’ empathetic abilities to understand and manage patients&...
Predictive Optimization of Patient No-Show Management in Primary Healthcare Using Machine Learning
Predictive Optimization of Patient No-Show Management in Primary Healthcare Using Machine Learning
The “no-show” problem in healthcare refers to the prevalent phenomenon where patients schedule appointments wi...
Lilobot: A Cognitive Conversational Agent to Train Counsellors at Children’s Helplines
Lilobot: A Cognitive Conversational Agent to Train Counsellors at Children’s Helplines
To equip new counsellors at a Dutch child helpline with the needed counselling skills, the helpline uses role-playing, a f...
Development of Predictive Model of Surgical Case Durations Using Machine Learning Approach
Development of Predictive Model of Surgical Case Durations Using Machine Learning Approach
Optimizing operating room (OR) utilization is critical for enhancing hospital management and operational efficiency. Accur...
Contribution of Video Directly Observed Therapy (VDOT) to Tuberculosis Treatment in Brazil
Contribution of Video Directly Observed Therapy (VDOT) to Tuberculosis Treatment in Brazil
Directly Observed Treatment (DOT) involves the administration of medication and in-person monitoring by a healthcare team ...
A Symbolic AI Approach to Medical Training
A Symbolic AI Approach to Medical Training
In traditional medical education, learners are mostly trained to diagnose and treat patients through supervised practice. ...
Development and Validation of a Neurosurgical Phantom for Simulating External Ventricular Drain Placement
Development and Validation of a Neurosurgical Phantom for Simulating External Ventricular Drain Placement
This study aimed to develop and validate a cost-effective, customizable patient-specific phantom for simulating external v...
Evaluating of BERT-based and Large Language Mod for Suicide Detection, Prevention, and Risk Assessment: A Systematic Review
Evaluating of BERT-based and Large Language Mod for Suicide Detection, Prevention, and Risk Assessment: A Systematic Review
Suicide constitutes a public health issue of major concern. Ongoing progress in the field of artificial intelligence, part...
Applications and Future Prospects of Medical LLMs: A Survey Based on the M-KAT Conceptual Framework
Applications and Future Prospects of Medical LLMs: A Survey Based on the M-KAT Conceptual Framework
The success of large language models (LLMs) in general areas have sparked a wave of research into their applications in th...
Garbage In, Garbage Out? Negative Impact of Physiological Waveform Artifacts in a Hospital Clinical Data Warehouse
Garbage In, Garbage Out? Negative Impact of Physiological Waveform Artifacts in a Hospital Clinical Data Warehouse
Hospitals around the world are deploying increasingly advanced systems to collect and store high-resolution physiological ...
Self-Supervised Learning for Near-Wild Cognitive Workload Estimation
Self-Supervised Learning for Near-Wild Cognitive Workload Estimation
Feedback on cognitive workload may reduce decision-making mistakes. Machine learning-based models can produce feedback fro...
Electronic Health Records Sharing Based on Consortium Blockchain
Electronic Health Records Sharing Based on Consortium Blockchain
In recent years, Electronic health records (EHR) has gradually become the mainstream in the healthcare field. However, due...
How Useful are Current Chatbots Regarding Urology Patient Information? Comparison of the Ten Most Popular Chatbots’ Responses About Female Urinary Incontinence
How Useful are Current Chatbots Regarding Urology Patient Information? Comparison of the Ten Most Popular Chatbots’ Responses About Female Urinary Incontinence
This research evaluates the readability and quality of patient information material about female urinary incontinence (fUI...
An Artificial Intelligent System for Prostate Cancer Diagnosis in Whole Slide Images
An Artificial Intelligent System for Prostate Cancer Diagnosis in Whole Slide Images
In recent years a significant demand to develop computer-assisted diagnostic tools to assess prostate cancer using whole s...
Maximising the Quality of Stroke Care: Reporting of Data Collection Methods and Resourcing in National Stroke Registries: A Systematic Review
Maximising the Quality of Stroke Care: Reporting of Data Collection Methods and Resourcing in National Stroke Registries: A Systematic Review
Stroke registries are tools for improving care and advancing research. We aim to describe the methodology and resourcing o...
An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method Study
An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method Study
The worldwide nursing shortage has led to the exploration of using robotics to support care delivery and reduce nursesR...
High Capacity and Reversible Fragile Watermarking Method for Medical Image Authentication and Patient Data Hiding
High Capacity and Reversible Fragile Watermarking Method for Medical Image Authentication and Patient Data Hiding
The exchange of medical images and patient data over the internet has attracted considerable attention in the past decade,...
Semantic Segmentation of CT Liver Structures: A Systematic Review of Recent Trends and Bibliometric Analysis
Semantic Segmentation of CT Liver Structures: A Systematic Review of Recent Trends and Bibliometric Analysis
The use of artificial intelligence (AI) in the segmentation of liver structures in medical images has become a popular res...
Preventing Overrides of Severe Drug Allergy Alerts Initiative: an Implemented System Upgrade
Preventing Overrides of Severe Drug Allergy Alerts Initiative: an Implemented System Upgrade
Administering medications to patients with documented drug hypersensitivity reactions (DHR) poses a significant risk for a...
Automatic Enrollment in Patient Portal Systems Mitigates the Digital Divide in Healthcare: An Interrupted Time Series Analysis of an Autoenrollment Workflow Intervention
Automatic Enrollment in Patient Portal Systems Mitigates the Digital Divide in Healthcare: An Interrupted Time Series Analysis of an Autoenrollment Workflow Intervention
Racial and ethnic healthcare disparities require innovative solutions. Patient portals enable online access to health reco...
The Impact of Customized Screening Intervals on the Burden of Drug-Drug Interaction Alerts: An Interrupted Time Series Analysis
The Impact of Customized Screening Intervals on the Burden of Drug-Drug Interaction Alerts: An Interrupted Time Series Analysis
Fixed and broad screening intervals for drug-drug interaction (DDI) alerts lead to false positive alerts, thereby contribu...
Is Web-Based Diabetes Training Effective or Ineffective on the Quality of Life of Individuals with Type 2 Diabetes Mellitus?: A Systematic Review
Is Web-Based Diabetes Training Effective or Ineffective on the Quality of Life of Individuals with Type 2 Diabetes Mellitus?: A Systematic Review
Diabetes mellitus is called as the “pandemic of the era” due to its rising prevalence. Since it is a disease t...
Emergency Medical Access Control System Based on Public Blockchain
Emergency Medical Access Control System Based on Public Blockchain
IT has made significant progress in various fields over the past few years, with many industries transitioning from paper-...
Identifying Facilitators and Barriers to Implementation of AI-Assisted Clinical Decision Support in an Electronic Health Record System
Identifying Facilitators and Barriers to Implementation of AI-Assisted Clinical Decision Support in an Electronic Health Record System
Recent advancements in computing have led to the development of artificial intelligence (AI) enabled healthcare technologi...
Exploring Clinical Practices of Critical Alarm Settings in Intensive Care Units: A Retrospective Study of 60,000 Patient Stays from the MIMIC-IV Database
Exploring Clinical Practices of Critical Alarm Settings in Intensive Care Units: A Retrospective Study of 60,000 Patient Stays from the MIMIC-IV Database
In Intensive Care Unit (ICU), the settings of the critical alarms should be sensitive and patient-specific to detect signs...
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