Mohammed A Alshehri
Biographic Data
| ID | 6944900 |
|---|---|
| NAME | Mohammed A Alshehri |
| GIVEN NAMES | Mohammed A |
| FAMILY NAME | Alshehri |
| SIGNATURE | ALSHEHRI M A |
| AFFILIATIONS | King Khalid University |
| ORCID | 0000-0003-1466-8231 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Critical Analysis of the Synergy between Laboratory Technicians, Nurses, and Epidemiology Experts in Public Health Surveillance
An important technique in disease control, prevention, and surveillance of public health concerns involves a multidisciplinary healthcare team, including laboratory staff, nurses, and epidemiologists. All these roles play a part in data collection, analysis, and intervention strategies in what constitutes a highly synergistic and effective model for enhancing public health. This paper employs critical analysis to explain how laboratory technician…
Critical Analysis of Healthcare Technology Integration, Patient Empowerment, and Cost Efficiency
This paper examines the role of Healthcare Technology in patients’ involvement and determining cost efficiency in healthcare delivery. This critically examines how the technological advancement in the healthcare industry, e.g., EHR, telemedicine and AI, are transforming one’s care, enhancing quality, and lowering costs. Also, the paper describes the role of patient self-management-support, including using digital solutions, knowledge, and involve…
Metabolic Syndrome and Cardiometabolic Risk Factors in the Mixed Hypercholesterolemic Populations with Respect to Gender, Age, and Obesity in Asir, Saudi Arabia
This record study aimed to investigate the prevalence of metabolic syndrome (MetS) profiles regarding sex, age, and obesity for the riskier factor of cardiovascular diseases in a general population in Saudi Arabia. Laboratory and anthropometric measurements were performed on non-specific participants with variant ages and BMI in either sex. Serobiochemical changes were measured for metabolic profiles, i.e., A1C/FSG, TC, TGC, HDLC/LDLC, Vit.D, TSH…
No prominent works on this page.
Metabolic Syndrome and Cardiometabolic Risk Factors in the Mixed Hypercholesterolemic Populations with Respect to Gender, Age, and Obesity in Asir, Saudi Arabia
This record study aimed to investigate the prevalence of metabolic syndrome (MetS) profiles regarding sex, age, and obesity for the riskier factor of cardiovascular diseases in a general population in Saudi Arabia. Laboratory and anthropometric measurements were performed on non-specific participants with variant ages and BMI in either sex. Serobiochemical changes were measured for metabolic profiles, i.e., A1C/FSG, TC, TGC, HDLC/LDLC, Vit.D, TSH…
Critical Analysis of the Synergy between Laboratory Technicians, Nurses, and Epidemiology Experts in Public Health Surveillance
An important technique in disease control, prevention, and surveillance of public health concerns involves a multidisciplinary healthcare team, including laboratory staff, nurses, and epidemiologists. All these roles play a part in data collection, analysis, and intervention strategies in what constitutes a highly synergistic and effective model for enhancing public health. This paper employs critical analysis to explain how laboratory technician…
Critical Analysis of Healthcare Technology Integration, Patient Empowerment, and Cost Efficiency
This paper examines the role of Healthcare Technology in patients’ involvement and determining cost efficiency in healthcare delivery. This critically examines how the technological advancement in the healthcare industry, e.g., EHR, telemedicine and AI, are transforming one’s care, enhancing quality, and lowering costs. Also, the paper describes the role of patient self-management-support, including using digital solutions, knowledge, and involve…
Environmental health (2 works) · Medicine (2 works) · Big Data and Business Intelligence (1 work) · Business (1 work) · Cardiovascular Disease and Adiposity (1 work) · Computer Science (1 work) · Data-Driven Disease Surveillance (1 work) · Diabetes mellitus (1 work) · Diabetes, Cardiovascular Risks, and Lipoproteins (1 work) · Diet, Metabolism, and Disease (1 work)