ArticleBMC medical ethics2024
Ethical considerations and concerns in the implementation of AI in pharmacy practice: a cross-sectional study.
Article in BMC medical ethics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Ethical concerns and strategies for implementing artificial intelligence in healthcare: a review of empirical studies.BMC medical ethics · 2026Pooled it
- AI in pharmacy education: a comparative visualization analysis of global and Chinese research trends.Frontiers in medicine · 2026Pooled it
- The Risks to Patients Associated with Using Artificial Intelligence Tools in Pharmacy Practice: A Scoping Review.Pharmacy (Basel, Switzerland) · 2026Review
- Attitudes and Usage of ChatGPT Among Medical and Paramedical Students in Iran: A Cross-Sectional Study.Health science reports · 2026Article
- Assessment of the knowledge, attitudes, and practices of pharmacy students toward self-medication using artificial intelligence: a cross-sectional study.BMC medical education · 2026Article
- Public Perceptions of Ethical and Professional Practice in Jordanian Community Pharmacies: A Cross-Sectional Study.Patient preference and adherence · 2026Article
- Artificial intelligence in pharmacy practice: pharmacists' perceptions and concerns toward implementation.Frontiers in digital health · 2026Article
- Integrating Large Language Models Into UAE Community Pharmacies: Pharmacists' Perspectives on Benefits, Concerns, and Implementation Barriers.International journal of telemedicine and applications · 2026Article
- Article
- Audit-as-code: a policy-as-code framework for continuous AI assurance.Frontiers in artificial intelligence · 2026Article
- Pharm D student's Knowledge, perception, and practice of CHAT-GPT in clinical training: a web-based cross-sectional survey in India.Scientific reports · 2025Article
- Artificial intelligence in clinical toxicology in Africa: Emerging applications and barriers.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2025Review
- Utilization, perceived benefits and concerns regarding robotic technologies among community pharmacists.Future science OA · 2025Article
- Review
- Perception and Understanding of Artificial Intelligence Among Gastroenterology Fellows and Early Career Gastroenterologists: A Nationwide Cross-Sectional Survey Study.Digestive diseases and sciences · 2025Article
- Protein lipidation in the tumor microenvironment: enzymology, signaling pathways, and therapeutics.Molecular cancer · 2025Review
- Safety of human-AI cooperative decision-making within intensive care: A physical simulation study.PLOS digital health · 2025Article
- Knowledge, attitude, and perceptions of MENA researchers towards the use of ChatGPT in research: A cross-sectional study.Heliyon · 2025Article
- AI-powered drug discovery for neglected diseases: accelerating public health solutions in the developing world.Journal of global health · 2025Article
- Digital transformation to overcoming access barriers.Revista panamericana de salud publica = Pan American journal of public health · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundIntegrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. In pharmacy practice, AI offers promising advances but also poses ethical challenges.
methodsA cross-sectional study was conducted in countries from the Middle East and North Africa (MENA) region on 501 pharmacy professionals. A 12-item online questionnaire assessed ethical concerns related to the adoption of AI in pharmacy practice. Demographic factors associated with ethical concerns were analyzed via SPSS v.27 software using appropriate statistical tests.
resultsParticipants expressed concerns about patient data privacy (58.9%), cybersecurity threats (58.9%), potential job displacement (62.9%), and lack of legal regulation (67.0%). Tech-savviness and basic AI understanding were correlated with higher concern scores (p < 0.001). Ethical implications include the need for informed consent, beneficence, justice, and transparency in the use of AI.
conclusionThe findings emphasize the importance of ethical guidelines, education, and patient autonomy in adopting AI. Collaboration, data privacy, and equitable access are crucial to the responsible use of AI in pharmacy practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.