Artificial intelligence in pharmacy practice: pharmacists’ perceptions and concerns toward implementation - Report - MDSpire

Artificial intelligence in pharmacy practice: pharmacists’ perceptions and concerns toward implementation

  • By

  • Amira S. A. Said

  • Mohammad M. Al-Ahmad

  • Sawsan Shanableh

  • Muaed Alomar

  • June 18, 2026

  • 0 min

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Clinical Report: Pharmacists' Views and Concerns Regarding AI in Pharmacy Practice

Overview

A study assessing pharmacists' perceptions of artificial intelligence (AI) in the UAE revealed positive views on AI. However, significant concerns regarding data privacy, cybersecurity, and job displacement were also identified.

Background

The integration of AI in healthcare is rapidly evolving. Understanding pharmacists' perceptions and concerns about AI is crucial for its effective implementation in pharmacy practice.

Data Highlights

Perception AreaMean Score ± SD
Multitasking and Rapid Data Analysis4.1 ± 0.9
Improved Service Quality3.9 ± 1.0
Enhanced Patient Follow-Up3.8 ± 1.1
Improved Patient Outcomes3.5 ± 1.1
Reduced Medication Errors3.3 ± 1.2
Reduced Healthcare Costs3.1 ± 1.2
Cybersecurity Risks4.2 ± 0.8
Data Privacy Issues4.1 ± 0.9
Job Displacement Concerns3.9 ± 1.1

Key Findings

  • 340 out of 400 invited pharmacists completed the questionnaire (85% response rate).
  • Participants reported positive perceptions of AI, particularly in multitasking and rapid data analysis.
  • Concerns about AI included cybersecurity risks, data privacy issues, and potential job displacement.
  • Perceptions of AI's clinical impact were moderate, with lower scores for improved patient outcomes and reduced medication errors.
  • Internal consistency of the questionnaire was high (Cronbach's α: benefits, 0.88; concerns/barriers, 0.90).

Clinical Implications

Addressing issues related to data privacy and cybersecurity is essential to foster trust in AI technologies among pharmacy professionals.

Conclusion

The study emphasizes the need to address significant concerns to ensure successful integration.

Related Resources & Content

  1. Journal of Medical Internet Research (JMIR), 2026 -- Patient Concerns Regarding Artificial Intelligence Applications in Health Care: Systematic Review and Meta-Synthesis Based on Social Ecological Theory
  2. Stat News, 2026 -- Using AI in addiction medicine could be particularly risky
  3. Eyecare Business, 2024 -- AI’s Impact + Influence
  4. HTI-1 Final Rule - ONC - Office of the National Coordinator for Health Information Technology
  5. Glaucoma Physician — Integrating AI into the Glaucoma Clinic Recommendations
  6. HTI-1 Final Rule - ONC - Office of the National Coordinator for Health Information Technology
  7. Ai-enhanced clinical decision support reduces medication errors and adverse drug events in a multicenter teaching hospital network: A prospective randomized controlled trial - ScienceDirect
  8. Joint Commission and Coalition for Health AI (CHAI) Release Initial Guidance to Support Responsible AI Adoption Across U.S. Health Systems | Joint Commission

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