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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...
Artificial Intelligence-Enabled Electrocardiography Predicts Future Pacemaker Implantation and Adverse Cardiovascular Events
Artificial Intelligence-Enabled Electrocardiography Predicts Future Pacemaker Implantation and Adverse Cardiovascular Events
Medical advances prolonging life have led to more permanent pacemaker implants. When pacemaker implantation (PMI) is commo...
Digital Physical Activity and Exercise Interventions for People Living with Chronic Kidney Disease: A Systematic Review of Health Outcomes and Feasibility
Digital Physical Activity and Exercise Interventions for People Living with Chronic Kidney Disease: A Systematic Review of Health Outcomes and Feasibility
Physical activity is essential to interrupt the cycle of deconditioning associated with chronic kidney disease (CKD). Howe...
A Cost-Affordable Methodology of 3D Printing of Bone Fractures Using DICOM Files in Traumatology
A Cost-Affordable Methodology of 3D Printing of Bone Fractures Using DICOM Files in Traumatology
Three-dimensional (3D) printing has gained popularity across various domains but remains less integrated into medical surg...
Application of a Human Factors Systems Approach to Healthcare Control Centres for Managing Patient Flow: A Scoping Review
Application of a Human Factors Systems Approach to Healthcare Control Centres for Managing Patient Flow: A Scoping Review
Over the past decade, healthcare systems have started to establish control centres to manage patient flow, with a view to ...
Networking Aspects of the Electronic Health Records: Hypertext Transfer Protocol Version 2 (HTTP/2) vs HTTP/3
Networking Aspects of the Electronic Health Records: Hypertext Transfer Protocol Version 2 (HTTP/2) vs HTTP/3
The rapid development of the digital healthcare and the electronic health records (EHR) requires smooth networking infrast...
A Mobile Post Anesthesia Care Unit Order Reminder System Improves Timely Order Entry
A Mobile Post Anesthesia Care Unit Order Reminder System Improves Timely Order Entry
Transition to the postanesthesia care unit (PACU) requires timely order placement by anesthesia providers. Computerized or...
ChatGPT: A Conceptual Review of Applications and Utility in the Field of Medicine
ChatGPT: A Conceptual Review of Applications and Utility in the Field of Medicine
Artificial Intelligence, specifically advanced language models such as ChatGPT, have the potential to revolutionize variou...
Generalized Confidence Intervals for Ratios of Standard Deviations Based on Log-Normal Distribution when Times Follow Weibull Distributions
Generalized Confidence Intervals for Ratios of Standard Deviations Based on Log-Normal Distribution when Times Follow Weibull Distributions
Modern anesthetic drugs ensure the efficacy of general anesthesia. Goals include reducing variability in surgical, trachea...
Navigating Challenges and Seizing Opportunities in China’s Era of Online Health Education
Navigating Challenges and Seizing Opportunities in China’s Era of Online Health Education
The rapid growth of internet users in China presents opportunities for advancing the “Healthy China 2030” init...
Comparison Between a Single-Lead ECG Garment Device and a Holter Monitor: A Signal Quality Assessment
Comparison Between a Single-Lead ECG Garment Device and a Holter Monitor: A Signal Quality Assessment
Wearable electronics are increasingly common and useful as health monitoring devices, many of which feature the ability to...
A Novel Deep Learning Approach for Forecasting Myocardial Infarction Occurrences with Time Series Patient Data
A Novel Deep Learning Approach for Forecasting Myocardial Infarction Occurrences with Time Series Patient Data
Myocardial Infarction (MI) commonly referred to as a heart attack, results from the abrupt obstruction of blood supply to ...
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model
Designing implants for large and complex cranial defects is a challenging task, even for professional designers. Current e...
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