Integrating ChatGPT as a Tool in Pharmacy Practice: A Cross-Sectional Exploration Among Pharmacists in Saudi Arabia DOI Creative Commons

Abdulrahman A. Alghitran,

Hind Alosaimi,

Ahmad Albuluwi

и другие.

Integrated Pharmacy Research and Practice, Год журнала: 2025, Номер Volume 14, С. 31 - 43

Опубликована: Март 1, 2025

Artificial Intelligence (AI), especially ChatGPT, is rapidly assimilating into healthcare, providing significant advantages in pharmacy practice, such as improved clinical decision-making, patient counselling, and drug information management. The adoption of AI tools heavily contingent upon practitioners' knowledge, attitudes, practices (KAP). This study sought to evaluate the knowledge pharmacists Saudi Arabia concerning utilization ChatGPT their daily activities. A cross-sectional was performed from May 2023 July 2024 including Riyadh, Arabia. An online pre-validated KAP questionnaire disseminated, collecting data on demographics, about ChatGPT. Descriptive statistics regression analyses were conducted using SPSS. Of 1022 respondents, 78.7% familiar with pharmacy, while 90.1% correctly identified an advanced chatbot. Positive attitudes towards reported by 64.1% pharmacists, although only 24.3% used regularly. Significant predictors positive included academic/research roles (β=0.7, p=0.005) 6-10 years experience (β=0.9, p=0.05). Ethical concerns raised 64% 92% a lack formal training. While majority held toward practical implementation remains limited due ethical inadequate Addressing these barriers essential for successful integration supporting Arabia's Vision 2030 initiative.

Язык: Английский

The integration of AI in nursing: addressing current applications, challenges, and future directions DOI Creative Commons
Qiang Wei, Shirui Pan, Xiaoyu Liu

и другие.

Frontiers in Medicine, Год журнала: 2025, Номер 12

Опубликована: Фев. 11, 2025

Artificial intelligence is increasingly influencing healthcare, providing transformative opportunities and challenges for nursing practice. This review critically evaluates the integration of AI in nursing, focusing on its current applications, limitations, areas that require further investigation. A comprehensive analysis recent studies highlights use clinical decision support systems, patient monitoring, education. However, several barriers to successful implementation are identified, including technical constraints, ethical dilemmas, need workforce adaptation. Significant gaps literature also evident, such as limited development nursing-specific tools, insufficient long-term impact assessments, absence frameworks tailored contexts. The potential reshape personalized care, advance robotics address global health explored depth. integrates existing knowledge identifies critical future research, emphasizing necessity aligning advancements with specific needs nursing. Addressing these essential fully harness AI's while reducing associated risks, ultimately enhancing practice improving outcomes.

Язык: Английский

Процитировано

1

Integrating ChatGPT as a Tool in Pharmacy Practice: A Cross-Sectional Exploration Among Pharmacists in Saudi Arabia DOI Creative Commons

Abdulrahman A. Alghitran,

Hind Alosaimi,

Ahmad Albuluwi

и другие.

Integrated Pharmacy Research and Practice, Год журнала: 2025, Номер Volume 14, С. 31 - 43

Опубликована: Март 1, 2025

Artificial Intelligence (AI), especially ChatGPT, is rapidly assimilating into healthcare, providing significant advantages in pharmacy practice, such as improved clinical decision-making, patient counselling, and drug information management. The adoption of AI tools heavily contingent upon practitioners' knowledge, attitudes, practices (KAP). This study sought to evaluate the knowledge pharmacists Saudi Arabia concerning utilization ChatGPT their daily activities. A cross-sectional was performed from May 2023 July 2024 including Riyadh, Arabia. An online pre-validated KAP questionnaire disseminated, collecting data on demographics, about ChatGPT. Descriptive statistics regression analyses were conducted using SPSS. Of 1022 respondents, 78.7% familiar with pharmacy, while 90.1% correctly identified an advanced chatbot. Positive attitudes towards reported by 64.1% pharmacists, although only 24.3% used regularly. Significant predictors positive included academic/research roles (β=0.7, p=0.005) 6-10 years experience (β=0.9, p=0.05). Ethical concerns raised 64% 92% a lack formal training. While majority held toward practical implementation remains limited due ethical inadequate Addressing these barriers essential for successful integration supporting Arabia's Vision 2030 initiative.

Язык: Английский

Процитировано

0