Evidence map›Paper›PMID 40026321›Full record

ArticleExploratory research in clinical and social pharmacy2025

The extent and type of use, opportunities and concerns of ChatGPT in community pharmacy: A survey of community pharmacy staff.

Emma Janske de Ruiter, Vesna Maria Eimermann, Claudia Rijcken, Katja Taxis, Sander Diederik Borgsteede

Abstract read
In one paragraph

Article in Exploratory research in clinical and social pharmacy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Emma Janske de RuiterHealth Base Foundation, Department of Clinical Decision Support, Houten, Netherlands.
Vesna Maria EimermannHealth Base Foundation, Department of Clinical Decision Support, Houten, Netherlands.
Claudia RijckenPharmi, High Tech Campus 27, 5656 AE Eindhoven, Netherlands.
Katja TaxisGroningen Research Institute of Pharmacy, Unit of Pharmacotherapy, -Epidemiology & -Economics, University of Groningen, Groningen, Netherlands.
Sander Diederik BorgsteedeHealth Base Foundation, Department of Clinical Decision Support, Houten, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since the widespread availability of Chat Generative Pre-Trained Transformer (ChatGPT), the public is confronted with accessible artificial intelligence tools. There is limited knowledge on the use, concerns and opportunities of ChatGPT in pharmacy practice in the Netherlands. Objectives: The aims of this study were to explore the extent and type of use of ChatGPT in community pharmacy and to identify concerns and opportunities for pharmacy practice. Methods: A questionnaire was developed, tested and distributed to professionals that work in community pharmacy. The answers were analysed descriptively using frequency tables. Results: Of all participants ( Conclusions: This research shows that using ChatGPT as a writing assistant is valuable and can free up time. Although clinical questions seem promising, ChatGPT's answers are currently too unreliable and do not meet the required quality standards for good pharmaceutical care. If ChatGPT is used to answer clinical questions, crossreferencing with reliable sources is recommended.

Indexed as

Artificial intelligenceChatGPTCommunity pharmacyImplementationLarge language modelQuestionnaire

Identifiers

PMID40026321
PMCPMC11872116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.