Currents in Pharmacy Teaching and Learning, Journal Year: 2025, Volume and Issue: 17(8), P. 102365 - 102365
Published: May 1, 2025
Language: Английский
BMC Medical Ethics, Journal Year: 2024, Volume and Issue: 25(1)
Published: May 16, 2024
Abstract Background Integrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. In pharmacy practice, AI offers promising advances but also poses challenges. Methods A cross-sectional study was conducted in countries from the Middle East and North Africa (MENA) region on 501 professionals. 12-item online questionnaire assessed concerns related to adoption of practice. Demographic factors associated with were analyzed via SPSS v.27 software using appropriate statistical tests. Results Participants expressed about patient data privacy (58.9%), cybersecurity threats potential job displacement (62.9%), lack legal regulation (67.0%). Tech-savviness basic understanding correlated higher concern scores ( p < 0.001). Ethical implications include need for informed consent, beneficence, justice, transparency use AI. Conclusion The findings emphasize importance guidelines, education, autonomy adopting Collaboration, privacy, equitable access are crucial responsible
Language: Английский
Citations
19
Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(1), P. 107 - 107
Published: Jan. 18, 2024
Accurate information regarding oxalate levels in foods is essential for managing patients with hyperoxaluria, nephropathy, or those susceptible to calcium stones. This study aimed assess the reliability of chatbots categorizing based on their content. We assessed accuracy ChatGPT-3.5, ChatGPT-4, Bard AI, and Bing Chat classify dietary content per serving into low (<5 mg), moderate (5–8 high (>8 mg) categories. A total 539 food items were processed through each chatbot. The was compared between stratified by AI had highest 84%, followed (60%), GPT-4 (52%), GPT-3.5 (49%) (p < 0.001). There a significant pairwise difference chatbots, except = 0.30). all decreased higher degree categories but remained having accuracy, regardless considerable variation classifying consistently showed Chat, GPT-4, GPT-3.5. These results underline potential management at-risk patient groups need enhancements chatbot algorithms clinical accuracy.
Language: Английский
Citations
17
Journal of the American Medical Informatics Association, Journal Year: 2024, Volume and Issue: 31(6), P. 1411 - 1422
Published: April 19, 2024
Current Clinical Decision Support Systems (CDSSs) generate medication alerts that are of limited clinical value, causing alert fatigue. Artificial Intelligence (AI)-based methods may help in optimizing alerts. Therefore, we conducted a scoping review on the current state use AI to optimize hospital setting. Specifically, aimed identify applied used together with their performance measures and main outcome measures.
Language: Английский
Citations
15
Exploratory Research in Clinical and Social Pharmacy, Journal Year: 2024, Volume and Issue: 15, P. 100481 - 100481
Published: July 18, 2024
Generative artificial intelligence (Gen-AI), exemplified by the widely adopted ChatGPT, has garnered significant attention in recent years. Its application spans various health education domains, including pharmacy, where its potential benefits and drawbacks have become increasingly apparent. Despite growing adoption of Gen-AIsuch as ChatGPT pharmacy education, there remains a critical need to assess mitigate associated risks. This review exploresthe literature strategies for mitigating risks with integration Gen-AI education.
Language: Английский
Citations
14
Deleted Journal, Journal Year: 2024, Volume and Issue: 2024, P. 14 - 19
Published: Feb. 15, 2024
The objective of this systematic review was to assess the adequacy current medication management in Ghana considering risks posed by increased artificial intelligence (AI) automation pharmacies worldwide A qualitative comparative approach used despite reviewed 1994 Pharmacy Act against recognition AI challenges and international governance guidelines . results revealed flaws terms quality prerequisites, transparency checklists liability mechanisms developed for systems compared existing regulations manual process. Outdated approaches patient care that fail ensure safety or address threats accuracy recommendations from data collection biases technical errors. Proposed changes include a requirement usability testing before approving pharmacy deployments creation board post-implementation validity. Updating deal with modern equipment puts innovation responsible regulation fast-paced healthcare industry. This study contributes significantly preliminary research on policy readiness Ghanaian legal context, suggests feasible methodology exploring differences use companies countries competing technology disturbing, increasingly beyond date code. Early government reform helps keep pace realities adoption.
Language: Английский
Citations
10
Information, Journal Year: 2025, Volume and Issue: 16(2), P. 131 - 131
Published: Feb. 11, 2025
Integrating artificial intelligence (AI) into pharmacy operations and drug discovery represents a groundbreaking milestone in healthcare, offering unparalleled opportunities to revolutionize medication management, accelerate development, deliver truly personalized patient care. This review examines the pivotal impact of AI critical domains, including repurposing, clinical trials, pharmaceutical productivity enhancement. By significantly reducing human workload, improving precision, shortening timelines, empowers industry achieve ambitious objectives efficiently. study delves tools methodologies enabling implementation, addressing ongoing challenges such as data privacy, algorithmic transparency, ethical considerations while proposing actionable strategies overcome these barriers. Furthermore, it offers insights future pharmacy, highlighting its potential foster innovation, enhance efficiency, improve outcomes. research is grounded rigorous methodology, employing advanced collection techniques. A comprehensive literature was conducted using platforms PubMed, Semantic Scholar, multidisciplinary databases, with AI-driven algorithms refining retrieval relevant up-to-date studies. Systematic scoping incorporated diverse perspectives from medical, pharmaceutical, computer science leveraging natural language processing for trend analysis thematic content coding identify patterns, challenges, emerging applications. Modern visualization synthesized findings explicit graphical representations, view key role shaping healthcare.
Language: Английский
Citations
1
JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 13, 2025
Abstract Almost every facet of modern biomedical research involves artificial intelligence (AI). This ACCP commentary forecasts the role AI in clinical pharmacy and scholarship. The potential benefits/opportunities together with limitations/challenges are reviewed for stages scientific method including (1) developing question(s), study design, execution; (2) data analysis; (3) reporting dissemination research. Benefits opportunities include streamlining hypothesis generation facilitating overcoming limitations traditional statistical analysis techniques, manuscript development dissemination, expediting peer review. Limitations challenges introduction biases subject recruitment; false information, also known as “AI hallucinations”; concern “black box” analyses that difficult to validate; legal liabilities; lack accountability; need investigators ensure accuracy integrity AI‐generated content. In summary, rapid progress capabilities has great revolutionize accelerate scholarship; however, it is imperative recognize mitigate introduced by AI.
Language: Английский
Citations
1
Healthcare, Journal Year: 2024, Volume and Issue: 12(7), P. 788 - 788
Published: April 5, 2024
Prescribing medications is a fundamental practice in the management of illnesses that necessitates in-depth knowledge clinical pharmacology. Polypharmacy, or concurrent use multiple by individuals with complex health conditions, poses significant challenges, including an increased risk drug interactions and adverse reactions. The Saudi Vision 2030 prioritises enhancing healthcare quality safety, addressing polypharmacy. Artificial intelligence (AI) offers promising tools to optimise medication plans, predict reactions ensure safety. This review explores AI’s potential revolutionise polypharmacy Arabia, highlighting practical applications, challenges path forward for integration AI solutions into practices.
Language: Английский
Citations
7
Advances in educational marketing, administration, and leadership book series, Journal Year: 2024, Volume and Issue: unknown, P. 275 - 320
Published: Oct. 10, 2024
Artificial intelligence (AI) has become a disruptive force that is changing conventional wisdom in wide range of sectors. This thorough analysis threads through the complex web AI applications, providing nuanced examination its effects several industries while narrowing down on revolutionary impact education. Education stands as cornerstone experiencing significant changes, radically how students learn and educators educate, companies throughout world adjust to AI. The assessment begins by outlining broad important industries. healthcare redefining diagnostic accuracy treatment techniques, with consequences for professional Gamification, adaptive learning platforms, intelligent tutoring systems are essential instruments face study examines advantages these including improved accessibility, reduced administrative procedures, personalized experiences.
Language: Английский
Citations
6
Medicina, Journal Year: 2024, Volume and Issue: 60(9), P. 1411 - 1411
Published: Aug. 29, 2024
Medication errors significantly impact patient safety, potentially causing adverse drug events (ADEs), increasing morbidity and mortality prolonging hospital stays. This systematic review aimed to identify common medication in Saudi hospitals, their contributing factors, effective prevention strategies.
Language: Английский
Citations
4