By A survey of 901 Jordanian pharmacists found that a one-hour educational course on artificial intelligence reduced fears of job loss and improved AI adoption, according to Bioengineer.org. The study identified workplace digital infrastructure and education as the key predictors of whether pharmacists took up AI tools after the session.
The findings point to a practical lever for pharmacy employers and educators in Jordan: short, focused training can move attitudes, but only where the surrounding digital environment supports actual use. The source report did not include the full article text, so details such as author names, exact dates, percentages and direct quotes were not available.
What the survey does and does not show
The headline result is that a single hour of AI education changed how Jordanian pharmacists felt about automation. Fear of job loss fell, and self-reported adoption improved. That is notable because pharmacy work in Jordan involves repetitive dispensing and inventory tasks that AI tools can partially automate, which often triggers anxiety about role displacement.
The study also found that education and workplace digital infrastructure predicted adoption better than other factors. That matters for employers: buying software alone is unlikely to shift behaviour if staff lack basic digital literacy or if the pharmacy still runs on paper records and manual stock counts. The course appears to have worked as a primer, but the infrastructure finding suggests it is not a standalone fix.
The survey covered 901 pharmacists, which is a substantial sample for the Jordanian market. However, the available summary does not specify whether respondents were community pharmacists, hospital pharmacists or a mix, nor does it state how long the effect lasted after the one-hour session.
What workplace digital infrastructure means in Jordanian pharmacies
Digital infrastructure in this context likely includes electronic dispensing systems, inventory management software, internet connectivity, barcode scanning and possibly telepharmacy platforms. Many Jordanian pharmacies already use dispensing software for stock control and sales, but the depth of digitalisation varies widely between chain pharmacies in Amman and smaller independent pharmacies in governorates.
For HR and payroll leads, the practical implication is that AI adoption is partly an infrastructure budgeting question. A pharmacy that wants staff to use AI for demand forecasting or expiry-date management needs reliable hardware, updated software and someone responsible for data quality. Without those, even motivated pharmacists will revert to manual methods.
The education predictor also matters for hiring. Candidates with prior exposure to digital tools, whether through university coursework, continuing education or previous employment, are more likely to adopt AI after brief training. Employers may want to screen for digital literacy during recruitment and build AI awareness into induction rather than treating it as a one-off.
How a one-hour course fits into pharmacy CPD
Jordanian pharmacists are subject to continuing professional development requirements through the Jordan Pharmacists Association and the Ministry of Health. A one-hour AI course could slot into existing CPD frameworks, but the survey does not confirm whether the course was accredited or delivered through a specific institution.
The brevity of the intervention is both a strength and a limitation. One hour is enough to demystify AI, show concrete pharmacy use cases and correct the belief that automation means job replacement. It is unlikely to build hands-on competence with specific tools. Employers should treat the course as an attitude-shaping first step, followed by supervised practice with whatever AI features exist in their dispensing or inventory systems.
The study does not report whether the course covered specific AI applications such as drug interaction checking, demand forecasting, automated refill reminders or adverse event reporting. Those details would help employers design their own sessions, but they are not available from the source summary.
Practical steps for pharmacy employers and educators
The survey supports a sequence that starts with education and ends with infrastructure investment. A sensible approach for a Jordanian pharmacy chain or hospital pharmacy department would be to run a short AI awareness session for all staff, then assess which locations have the digital foundation to support actual AI use, then roll out tools where readiness is highest.
Common mistakes include buying AI software before staff understand what it does, assuming younger pharmacists are automatically more willing to adopt it, and measuring training attendance rather than post-training behaviour. The survey’s focus on predictors suggests that adoption is not purely about individual attitude; it is shaped by the workplace environment.
For universities such as Yarmouk University Faculty of Pharmacy and the University of Jordan, the findings reinforce the case for embedding digital health and AI literacy into undergraduate curricula rather than leaving it to employers. The two institutions appear in unrelated pharmacy news, but neither is confirmed as connected to this survey.
What remains unclear
The available summary leaves several questions unanswered. It does not name the journal or research team, describe the sampling method, or report how fear of job loss and adoption were measured. It also does not state whether the one-hour course produced lasting change or only an immediate post-session shift.
Readers in Jordan should treat the findings as directional rather than definitive. The sample size is meaningful, and the predictor analysis is useful, but the lack of detail on measurement and follow-up means the results should be confirmed against the full study when it becomes available.
Sources: BIOENGINEER
Photo: Kamalolmolk & Attar Neyshabur - panoramio by Alireza Javaheri, CC BY 3.0
