TELEMENTAL HEALTH AND ARTIFICIAL INTELLIGENCE: KNOWLEDGE AND ATTITUDES OF SAUDI ARABIAN INDIVIDUALS TOWARDS AI-INTEGRATED TELEMENTAL HEALTH
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Keywords
Artificial Intelligence, Telemental, Knowledge, Attitudes
Abstract
Introduction: In the ever-evolving healthcare landscape, integrating technology has opened new avenues for improving mental health services.
Aim and Objective: This study delves into Saudi Arabian individuals' perspectives on utilizing telemental health services based on artificial intelligence (AI). Through a comprehensive investigation, this research assesses participants' familiarity with these technologies, their perceptions of ease of use and usefulness, and their intentions to adopt such services.
Materials and methods: The Technology Acceptance Model (TAM) is a guiding framework for understanding the intricate interplay between familiarity, perceptions, and behavioral intentions. The study's cross-sectional design involved surveying 1403 Saudi Arabians aged 18 and over through online questionnaires. The participants' diverse demographics ensured comprehensive insights into the population's knowledge, opinions, and attitudes.
Results: The majority exhibited at least moderate familiarity, setting the foundation for further exploration. Users perceived learning to use telemental health based on AI as manageable, while positive attitudes towards clarity, ease of use, and overall utility were evident. This positive perception extended to the services' potential effectiveness, ease of healthcare utilization, and access to electronic health information. The study also highlighted the significance of trust and privacy concerns in influencing users' acceptance of AI-driven mental health services. While participants demonstrated moderate levels of trust, addressing privacy concerns and building robust security measures emerged as imperatives for cultivating higher trust levels.
Conclusions: This study offers valuable insights into Saudi Arabian individuals' awareness, attitudes, and intentions regarding telemental health services based on AI.
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Anas Ali Alhur
College of Public Health and Health Informatics University of Hail, Hail, Saudi Arabia
Afrah Ali Alhur
University of Hail, KSA
Majed Daham Aldhafeeri
Prince Sultan Military Medical City
Salwa Essa Alghamdi
King Abdulaziz University, KSA
Walaa Salem Bazuhair
Ibn Sina National College, KSA
Amal Ali Al-Thabet
King Khalid University, KSA
Khawlah Mansour Alharthi
Ministry of Health (MOH), KSA
Refal Saeed Al jali
College of Pharmacy King Khalid University, KSA
Noor Talal Alhusini
King Abdulaziz University, KSA
Refal Abdulrahman Alnughaymishi
Ministry of Health (MOH), KSA
Hannia Shaker Alibrahim
Ministry of Health (MOH), KSA
Abdulaziz hassan Jabali
King Abdulaziz Medical City, KSA
Sara Mansor Al-Assaf
Clinical Pharmacy King Khalid University, KSA
Reema Saad Al-alswaid
King Khalid University, KSA
Shahad Hassan Alshokani
King Khalid University, KSA