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Abdulaziz Mohammed Almuhaylib

Biographic Data

ID8425352
NAMEAbdulaziz Mohammed Almuhaylib
GIVEN NAMESAbdulaziz Mohammed
FAMILY NAMEAlmuhaylib
SIGNATUREALMUHAYLIB A M
AFFILIATIONSNational Guard Health Affairs
VERIFIEDNo
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2024
H-INDEX0
  • How informatics is shaping the future of emergency medicine

    Open Access•Abeer Saleh Alghamdi, Abdulaziz Mohammed Almuhaylib et al.•ARTICLE•International Journal of Health…•2024

    Background: Emergency Medicine Informatics (EMI) represents a transformative intersection of information technology and emergency medical services aimed at enhancing patient care and operational efficiency. This review article explores the evolution, current applications, and future directions of EMI. The background outlines how EMI integrates technologies such as Electronic Health Records (EHRs), Clinical Decision Support Systems (CDSS), telemed…

  • Advances in pharmacogenomics for personalized emergency medicine

    Open Access•Fatimah Abdullah Alammar, Abeer Saleh Alghamdi et al.•ARTICLE•International Journal of Health…•2023

    Background: Advances in pharmacogenomics are transforming personalized emergency medicine by addressing genetic variability in drug metabolism and response. Genetic variations can significantly affect drug safety and efficacy, particularly in emergency scenarios where rapid and effective treatment is critical. Aim: This review aims to explore how pharmacogenomics can enhance personalized emergency medicine, focusing on implications for drug safet…

  • Data-driven approaches to improving emergency response times and patient outcomes

    Open Access•Sultan Mohammed Algfari, Abeer Saleh Alghamdi et al.•ARTICLE•International Journal of Health…•2022

    Background: Data-driven disaster management represents a transformative shift from traditional methods, crucial amid increasing natural and man-made disasters. The escalation in climate-related threats and high-risk population densities has underscored the inadequacy of conventional disaster management strategies. This research explores the potential of big data analytics to revolutionize disaster preparedness, response coordination, and recovery…

  • The use of chatbots for triage and emergency nursing support

    Open Access•Mohammed Hamoud Alwaked, Fatimah Abdullah Alammar et al.•ARTICLE•International Journal of Health…•2021

    Background: The triage process is essential in emergency care, as it prioritizes patient treatment based on urgency, ensuring that those in critical need receive timely attention. Different Hospitals faced challenges with its triage system due to a shortage of nursing staff and high patient volumes, leading to inefficiencies and risks in patient care. Aim: This study aims to address the inefficiencies in triage processes at different Hospitals by…

  • Real-time health monitoring using IoT devices for patients with chronic conditions

    Open Access•Sultan Mohammed Algfari, Abeer Saleh Alghamdi et al.•ARTICLE•International Journal of Health…•2020

    Background: The healthcare sector is experiencing a transformative shift due to advancements in technology, particularly with the Internet of Things (IoT). IoT integration in healthcare is poised to revolutionize patient monitoring and management, particularly for individuals with chronic conditions. The Grand View Research Inc. analysis projected a significant increase in IoT penetration in healthcare, with a market value of approximately $409.9…

  • Gestational diabetes

    Open Access•Alaa Saud Aleiid, Alaa Musaad Alsayyari et al.•ARTICLE•International Journal of Health…•2019

    Background: Gestational diabetes mellitus (GDM) is characterized by carbohydrate intolerance first recognized during pregnancy. Its prevalence varies globally, influenced by diagnostic criteria and demographic factors, with recent estimates indicating that one in seven live births worldwide is affected. Rising obesity rates, sedentary lifestyles, and advancing maternal age contribute to this trend. Aim: This article reviews current trends in GDM …

No prominent works on this page.

  • Gestational diabetes

    Open Access•Alaa Saud Aleiid, Alaa Musaad Alsayyari et al.•ARTICLE•International Journal of Health…•2019

    Background: Gestational diabetes mellitus (GDM) is characterized by carbohydrate intolerance first recognized during pregnancy. Its prevalence varies globally, influenced by diagnostic criteria and demographic factors, with recent estimates indicating that one in seven live births worldwide is affected. Rising obesity rates, sedentary lifestyles, and advancing maternal age contribute to this trend. Aim: This article reviews current trends in GDM …

  • Real-time health monitoring using IoT devices for patients with chronic conditions

    Open Access•Sultan Mohammed Algfari, Abeer Saleh Alghamdi et al.•ARTICLE•International Journal of Health…•2020

    Background: The healthcare sector is experiencing a transformative shift due to advancements in technology, particularly with the Internet of Things (IoT). IoT integration in healthcare is poised to revolutionize patient monitoring and management, particularly for individuals with chronic conditions. The Grand View Research Inc. analysis projected a significant increase in IoT penetration in healthcare, with a market value of approximately $409.9…

  • The use of chatbots for triage and emergency nursing support

    Open Access•Mohammed Hamoud Alwaked, Fatimah Abdullah Alammar et al.•ARTICLE•International Journal of Health…•2021

    Background: The triage process is essential in emergency care, as it prioritizes patient treatment based on urgency, ensuring that those in critical need receive timely attention. Different Hospitals faced challenges with its triage system due to a shortage of nursing staff and high patient volumes, leading to inefficiencies and risks in patient care. Aim: This study aims to address the inefficiencies in triage processes at different Hospitals by…

  • Data-driven approaches to improving emergency response times and patient outcomes

    Open Access•Sultan Mohammed Algfari, Abeer Saleh Alghamdi et al.•ARTICLE•International Journal of Health…•2022

    Background: Data-driven disaster management represents a transformative shift from traditional methods, crucial amid increasing natural and man-made disasters. The escalation in climate-related threats and high-risk population densities has underscored the inadequacy of conventional disaster management strategies. This research explores the potential of big data analytics to revolutionize disaster preparedness, response coordination, and recovery…

  • Advances in pharmacogenomics for personalized emergency medicine

    Open Access•Fatimah Abdullah Alammar, Abeer Saleh Alghamdi et al.•ARTICLE•International Journal of Health…•2023

    Background: Advances in pharmacogenomics are transforming personalized emergency medicine by addressing genetic variability in drug metabolism and response. Genetic variations can significantly affect drug safety and efficacy, particularly in emergency scenarios where rapid and effective treatment is critical. Aim: This review aims to explore how pharmacogenomics can enhance personalized emergency medicine, focusing on implications for drug safet…

  • How informatics is shaping the future of emergency medicine

    Open Access•Abeer Saleh Alghamdi, Abdulaziz Mohammed Almuhaylib et al.•ARTICLE•International Journal of Health…•2024

    Background: Emergency Medicine Informatics (EMI) represents a transformative intersection of information technology and emergency medical services aimed at enhancing patient care and operational efficiency. This review article explores the evolution, current applications, and future directions of EMI. The background outlines how EMI integrates technologies such as Electronic Health Records (EHRs), Clinical Decision Support Systems (CDSS), telemed…

Medicine (5 works) · Computer Science (3 works) · Intensive care medicine (3 works) · Analytics (2 works) · Big data (2 works) · Biology (2 works) · Data mining (2 works) · Data science (2 works) · Engineering (2 works) · Artificial Intelligence in Healthcare and Education (1 work)

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