Abdulaziz Abdullah Mughiran Alharbi
Biographic Data
| ID | 6645970 |
|---|---|
| NAME | Abdulaziz Abdullah Mughiran Alharbi |
| GIVEN NAMES | Abdulaziz Abdullah Mughiran |
| FAMILY NAME | Alharbi |
| SIGNATURE | ALHARBI A A M |
| AFFILIATIONS | National Guard Health Affairs |
| ORCID | 0000-0003-4278-0773 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Artificial intelligence-enabled conversational agents in tourism & hospitality
Artificial intelligence (AI)-enabled conversational agents (AICAs) are transforming the tourism and hospitality sector. While studies focus on technical and operational aspects, there is limited exploration of consumer behaviour. This study employs the TCCM (Theory, Context, Characteristics and Methodology) framework to analyse the theoretical, contextual and methodological dimensions of AICA use. By utilising an AI-first, human-lens-second appro…
Addressing antibiotic resistance through interdisciplinary collaboration between nursing and pharmacy
Background: By compromising the effectiveness of life-saving therapies and driving up healthcare expenses, antibiotic resistance (AR) is a serious danger to global public health. Effective mitigation solutions are desperately needed, as the World Health Organization (WHO) has declared AR a high global health concern. As frontline healthcare professionals, nurses and pharmacists have distinct and complementary roles in antimicrobial stewardship (A…
Pharmacovigilance in clinical nursing
Background: The science of tracking and averting adverse drug reactions (ADRs), or pharmacovigilance, is essential to maintaining patient safety. Because they work closely with patients, nurses are frequently the first to notice adverse drug reactions (ADRs), and pharmacists offer their knowledge of drug interactions, dosage, and medication safety. Improving pharmacovigilance procedures requires these two professions to work together effectively.…
Leveraging telehealth for medication optimization
Background: The necessity for efficient medication optimization techniques has increased due to the rising incidence of chronic illnesses in older populations. Despite being frequently required, polypharmacy carries a number of serious dangers, such as decreased quality of life, adverse drug events (ADEs), and prescription non-adherence. An interdisciplinary platform for tackling these issues is provided by telehealth, a quickly developing digita…
Improving medication adherence in elderly populations
Background: Given the high incidence of chronic illnesses and polypharmacy in the aged population, medication adherence is a crucial factor in determining health outcomes. Increased morbidity, readmissions to hospitals, and medical expenses are all consequences of non-adherence. This problem is made worse by elements including physical restrictions, cognitive deterioration, complicated drug schedules, and socioeconomic obstacles. It has been sugg…
Artificial intelligence-enabled conversational agents in tourism & hospitality
Artificial intelligence (AI)-enabled conversational agents (AICAs) are transforming the tourism and hospitality sector. While studies focus on technical and operational aspects, there is limited exploration of consumer behaviour. This study employs the TCCM (Theory, Context, Characteristics and Methodology) framework to analyse the theoretical, contextual and methodological dimensions of AICA use. By utilising an AI-first, human-lens-second appro…
Improving medication adherence in elderly populations
Background: Given the high incidence of chronic illnesses and polypharmacy in the aged population, medication adherence is a crucial factor in determining health outcomes. Increased morbidity, readmissions to hospitals, and medical expenses are all consequences of non-adherence. This problem is made worse by elements including physical restrictions, cognitive deterioration, complicated drug schedules, and socioeconomic obstacles. It has been sugg…
Leveraging telehealth for medication optimization
Background: The necessity for efficient medication optimization techniques has increased due to the rising incidence of chronic illnesses in older populations. Despite being frequently required, polypharmacy carries a number of serious dangers, such as decreased quality of life, adverse drug events (ADEs), and prescription non-adherence. An interdisciplinary platform for tackling these issues is provided by telehealth, a quickly developing digita…
Pharmacovigilance in clinical nursing
Background: The science of tracking and averting adverse drug reactions (ADRs), or pharmacovigilance, is essential to maintaining patient safety. Because they work closely with patients, nurses are frequently the first to notice adverse drug reactions (ADRs), and pharmacists offer their knowledge of drug interactions, dosage, and medication safety. Improving pharmacovigilance procedures requires these two professions to work together effectively.…
Addressing antibiotic resistance through interdisciplinary collaboration between nursing and pharmacy
Background: By compromising the effectiveness of life-saving therapies and driving up healthcare expenses, antibiotic resistance (AR) is a serious danger to global public health. Effective mitigation solutions are desperately needed, as the World Health Organization (WHO) has declared AR a high global health concern. As frontline healthcare professionals, nurses and pharmacists have distinct and complementary roles in antimicrobial stewardship (A…
Artificial intelligence-enabled conversational agents in tourism & hospitality
Artificial intelligence (AI)-enabled conversational agents (AICAs) are transforming the tourism and hospitality sector. While studies focus on technical and operational aspects, there is limited exploration of consumer behaviour. This study employs the TCCM (Theory, Context, Characteristics and Methodology) framework to analyse the theoretical, contextual and methodological dimensions of AICA use. By utilising an AI-first, human-lens-second appro…
Medicine (4 works) · Nursing (4 works) · Pharmacy (4 works) · Health care (2 works) · Pharmaceutical Practices and Patient Outcomes (2 works) · Academic integrity and plagiarism (1 work) · Adverse effect (1 work) · AI in Service Interactions (1 work) · Antibiotic resistance (1 work) · Antibiotic Use and Resistance (1 work)