Systematic Quantitative Assessment of AI Competency among Emerging Pharmacy Professionals: Detailed Analysis of Knowledge Acquisition, Practical Implementation, and Ethical Considerations

Purpose of the Study: Artificial Intelligence (AI) is reshaping industries by enhancing efficiency, decision-making, and automation, particularly in healthcare. This study evaluates the preparedness and understanding of pharmacy students regarding AI integration in professional practice, focusing on their attitudes, knowledge levels, and concerns about AI’s impact on healthcare and the pharmacy sector. Background: The potential of AI to transform healthcare, including pharmacy practice, is substantial. Understanding pharmacy students' readiness to work with AI is critical to aligning educational programs with future industry demands. Methodology: A nationwide survey was conducted among pharmacy students, excluding faculty and recent graduates. Data were collected via in-person and online questionnaires, with expert validation and pilot testing to ensure reliability. A sample size of 406 students was chosen to achieve statistical robustness, focusing on demographics, AI knowledge, and perceptions of AI in pharmacy practice. Results: The survey revealed a demographic predominance of female students (70%) and a majority within the 22-25 age range, with 60.5% in senior pharmacy years. Knowledge of AI was moderate, with 35.5% of respondents self-assessing their knowledge as mid-range and 83.7% utilizing AI for educational purposes. Perceptions were largely positive, with 75.4% recognizing AI's benefits, though concerns about job displacement and ethical issues persisted. Notably, 71.4% advocated for the inclusion of AI courses in the pharmacy curriculum, indicating a strong awareness of AI’s relevance and a need for improved training. Conclusions: The study underscores AI's transformative potential in pharmacy and identifies gaps in practical experience and training. While students view AI positively, addressing ethical concerns like job displacement is essential. Integrating comprehensive AI training into pharmacy curricula is vital to prepare future professionals to navigate AI’s complexities responsibly.

Authors

Institutions

Publication Details

Journal
RADS Journal of Pharmacy and Allied Health Sciences
Published
2025-01-09
DOI
https://doi.org/10.37962/jphs.v2i3.126
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic Quantitative Assessment of AI Competency among Emerging Pharmacy Professionals: Detailed Analysis of Knowledge Acquisition, Practical Implementation, and Ethical Considerations

Humaira Anser, Muhammad Khurram Khan, Rabia Munawwar, Ayesha Khan et al.
RADS Journal of Pharmacy and Allied Health Sciences
Artificial Intelligence in Healthcare and Education
article

Systematic Quantitative Assessment of AI Competency among Emerging Pharmacy Professionals: Detailed Analysis of Knowledge Acquisition, Practical Implementation, and Ethical Considerations

Humaira Anser, Muhammad Khurram Khan, Rabia Munawwar, Ayesha Khan, Maneeha Raghib, Nimrah Jawed, Khizar Nadim, Qirat Hussain
article en

Abstract

Purpose of the Study: Artificial Intelligence (AI) is reshaping industries by enhancing efficiency, decision-making, and automation, particularly in healthcare. This study evaluates the preparedness and understanding of pharmacy students regarding AI integration in professional practice, focusing on their attitudes, knowledge levels, and concerns about AI’s impact on healthcare and the pharmacy sector. Background: The potential of AI to transform healthcare, including pharmacy practice, is substantial. Understanding pharmacy students' readiness to work with AI is critical to aligning educational programs with future industry demands. Methodology: A nationwide survey was conducted among pharmacy students, excluding faculty and recent graduates. Data were collected via in-person and online questionnaires, with expert validation and pilot testing to ensure reliability. A sample size of 406 students was chosen to achieve statistical robustness, focusing on demographics, AI knowledge, and perceptions of AI in pharmacy practice. Results: The survey revealed a demographic predominance of female students (70%) and a majority within the 22-25 age range, with 60.5% in senior pharmacy years. Knowledge of AI was moderate, with 35.5% of respondents self-assessing their knowledge as mid-range and 83.7% utilizing AI for educational purposes. Perceptions were largely positive, with 75.4% recognizing AI's benefits, though concerns about job displacement and ethical issues persisted. Notably, 71.4% advocated for the inclusion of AI courses in the pharmacy curriculum, indicating a strong awareness of AI’s relevance and a need for improved training. Conclusions: The study underscores AI's transformative potential in pharmacy and identifies gaps in practical experience and training. While students view AI positively, addressing ethical concerns like job displacement is essential. Integrating comprehensive AI training into pharmacy curricula is vital to prepare future professionals to navigate AI’s complexities responsibly.

RADS Journal of Pharmacy and Allied Health SciencesVol. 2(3)
Jinnah Sindh Medical University (PK)
Openalex Percentile: Top 88%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.