الإصدار الثاني والثلاثون 

Name: SAMER ABDU ALTAHIRI
Name: MOHAMMED ABDU MAJRASHI
Name: ABDULLAH HUSSAIN ALABDALI
Name: YAHYA ALI OTAIF
Name: DAIFALLAH NASSER DIBSH
Name: WALEED AHMED YATEEMI
Name: DONIA AHMED KHARMI
Name: AMNAH ESSA MAYAN
Name: ABEER OTHMAN ZAILA
Name: MANSOUR YAHYA KHALLAF

Email: sameraltaheri1989@gmail.com

Role of artificial intelligence in efficiency of operations room

Abstract:

        The role of artificial intelligence (AI) in enhancing the efficiency of operations rooms has gained significant attention in modern healthcare and critical industries. This research investigates how AI technologies can optimize decision-making processes, improve response times, and streamline coordination within operations rooms. By integrating machine learning algorithms, real-time data analysis, and automation, AI contributes to reducing human error, improving communication, and enhancing overall performance. The study explores the application of AI tools in various operations rooms, such as emergency services, military command centers, and healthcare, evaluating their impact on workflow efficiency and decision-making accuracy. This research presents the findings from data collected through case studies and simulations

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Name:

Dr. Shatha Zuhair Alzuhair

Consultant Family medicine

Master Public health

Name:

Dr.Ali Saad Rashid Alsubaie

PhD Public health

“Evaluation of the Prevalence and Sociodemographic Factors Associated with Overweight and Obesity among high school female adolescents in the Dammam and Khobar area in Eastern Province, Saudi Arabia”

Abstract :

Background and objectives: Being overweight or obese increases the  risk of chronic diseases, reduces individual satisfaction, and incurs costs to the health care  system. This study seeks to determine the prevalence of overweight or obesity and obesity-related factors in female adolescent students in Dammam and Khobar, Saudi Arabia.

Methods: The study utilized a cross-sectional quantitative survey (n=374) conducted in Dammam and Khobar. The survey targeted 15-18-year-old female students in the 10th, 11th, and 12th grades. The chi-square test was employed to examine the impact of categorical factors on adiposity

Results: Of the 374 students who took the field test, 239 (63.9%) went to public schools, and 135 (36.1%) went to private schools. The study found that 26.8% of the participants were overweight or obese, 78% among them from public schools and 22 % from private schools. The results showed that parents’ education level and type of school were associated with adolescent weight, while other factors significantly increased the chance of being overweight or obese student, such as students living with a single career parent (p-value of 0.003; OR = 1.737; 95% CI: 1.803–17.904) and lower financial levels (p-value of 0.021; OR = 1.006; 95% CI 1.162–6.441). In contrast, students who walked to or used school services had a decreased chance of being overweight or obese (p-value of 0.001; OR = 2.064;95% CI: 0.037–0.297). Conclusion: The study found that many of Saudi adolescent girls in research area are overweight or obese, which emphasizing the need for societal and individual health- conscious school policies.

Keywords

Adolescents, BMI, Overweight, Obesity, School Health, Students, Saudi Arabia

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