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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...
Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review
Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review
In the rapidly evolving field of medical image analysis utilizing artificial intelligence (AI), the selection of appropria...
Assessing the Relationship between Hospital Process Digitalization and Hospital Quality – Evidence from Germany
Assessing the Relationship between Hospital Process Digitalization and Hospital Quality – Evidence from Germany
Hospital digitalization aims to increase efficiency, reduce costs, and/ or improve quality of care. To assess a digitaliza...
The Potential for a Propofol Volume and Dosing Decision Support Tool in an Electronic Health Record System to Provide Anticipated Propofol Volumes and Reduce Waste
The Potential for a Propofol Volume and Dosing Decision Support Tool in an Electronic Health Record System to Provide Anticipated Propofol Volumes and Reduce Waste
Competing Interests Brad Feng is an employee of Epic System...
Analysis of Responses of GPT-4 V to the Japanese National Clinical Engineer Licensing Examination
Analysis of Responses of GPT-4 V to the Japanese National Clinical Engineer Licensing Examination
Chat Generative Pretrained Transformer (ChatGPT; OpenAI) is a state-of-the-art large language model that can simulate huma...
Optimizing Medical Care during a Nerve Agent Mass Casualty Incident Using Computer Simulation
Optimizing Medical Care during a Nerve Agent Mass Casualty Incident Using Computer Simulation
Chemical mass casualty incidents (MCIs) pose a substantial threat to public health and safety, with the capacity to overwh...
Comparing ChatGPT and a Single Anesthesiologist’s Responses to Common Patient Questions: An Exploratory Cross-Sectional Survey of a Panel of Anesthesiologists
Comparing ChatGPT and a Single Anesthesiologist’s Responses to Common Patient Questions: An Exploratory Cross-Sectional Survey of a Panel of Anesthesiologists
Increased patient access to electronic medical records and resources has resulted in higher volumes of health-related ques...
Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities
Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities
With the proliferation of wound assessment apps across various app stores and the increasing integration of artificial int...
Evaluating EHR-Integrated Digital Technologies for Medication-Related Outcomes and Health Equity in Hospitalised Adults: A Scoping Review
Evaluating EHR-Integrated Digital Technologies for Medication-Related Outcomes and Health Equity in Hospitalised Adults: A Scoping Review
The purpose of this scoping review is to identify and evaluate studies that examine the effectiveness and implementation s...
Mixed Reality in the Operating Room: A Systematic Review
Mixed Reality in the Operating Room: A Systematic Review
Mixed Reality is a technology that has gained attention due to its unique capabilities for accessing and visualizing infor...
Intelligent Clinic Nurse Scheduling Considering Nurses Paired with Doctors and Preference of Nurses
Intelligent Clinic Nurse Scheduling Considering Nurses Paired with Doctors and Preference of Nurses
The nurse scheduling problem (NSP) has been a crucial and challenging research issue for hospitals, especially considering...
Effectiveness of Artificial Intelligence (AI) in Clinical Decision Support Systems and Care Delivery
Effectiveness of Artificial Intelligence (AI) in Clinical Decision Support Systems and Care Delivery
This review aims to assess the effectiveness of AI-driven CDSSs on patient outcomes and clinical practices. A comprehensiv...
Electromagnetic Compatibility Issues in 400-MHz-Band Wireless Medical Telemetry Systems and Their Management Using Simplified Methods for Safe Operation
Electromagnetic Compatibility Issues in 400-MHz-Band Wireless Medical Telemetry Systems and Their Management Using Simplified Methods for Safe Operation
Wireless medical telemetry systems (WMTSs) are typical radio communication–based medical devices that monitor variou...
Within Clinic Reliability and Usability of a Voice-Based Amazon Alexa Administration of the General Anxiety Disorder 7 (GAD 7)
Within Clinic Reliability and Usability of a Voice-Based Amazon Alexa Administration of the General Anxiety Disorder 7 (GAD 7)
This is the second in a series of studies assessing the usability and reliability of a novel voice-based delivery system o...
From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance – a Comprehensive Review
From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance – a Comprehensive Review
The emergence of drug-resistant bacteria poses a significant challenge to modern medicine. In response, Artificial Intelli...
Machine Learning Predicts Unplanned Care Escalations for Post-Anesthesia Care Unit Patients during the Perioperative Period: A Single-Center Retrospective Study
Machine Learning Predicts Unplanned Care Escalations for Post-Anesthesia Care Unit Patients during the Perioperative Period: A Single-Center Retrospective Study
Background: Despite low mortality for elective procedures in the United States and developed countries, some pati...
A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction
A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction
Artificial intelligence (AI) based predictive models for early detection of cardiovascular disease (CVD) risk are increasi...
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