Utilization, perceived benefits and concerns regarding robotic technologies among community pharmacists
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Robotic technology is being rapidly adopted worldwide. The purpose of this study was to quantify the prevalence of robotic technology use among UAE community pharmacists, evaluate their perceived benefits and concerns, and identify factors that predict heightened concern levels. RESEARCH DESIGN AND METHODS: The present study utilized a validated self-administered survey, which was distributed in person to community pharmacists in different regions of Abu Dhabi and other Emirates. The questionnaire comprised sociodemographic and job‑related items, an operational definition of robotics, a 5‑point Likert scale on perceived benefits, a 4‑point Likert scale on perceived concerns (recoded to a 0-14 score), and a checklist of potential robotic pharmacy services. RESULTS: Pharmacists holding only a bachelor's degree and pharmacy owners reported higher median concern scores than those with postgraduate degrees and pharmacists in charge, respectively. Additionally, pharmacists without training on robotic systems and those with heavier workloads dispensing ≥30 prescriptions per day or serving ≥10 patients per day also showed significantly greater concerns than their counterparts. CONCLUSION: It is necessary to implement training initiatives aimed at enhancing awareness and understanding of robotic technologies among pharmacists.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it