Artificial intelligence tools in community pharmacy: a literature review

Castro, Francisco; Pires, Gonçalo; Pinto, Isabel C.; Cunha, José; Nascimento, Luís; Taboada Costa, Xavier

Publication

Artificial intelligence tools in community pharmacy: a literature review

2025Conference object

datacite.subject.fos	Ciências Médicas
datacite.subject.sdg	03:Saúde de Qualidade
dc.contributor.author	Castro, Francisco
dc.contributor.author	Pires, Gonçalo
dc.contributor.author	Pinto, Isabel C.
dc.contributor.author	Cunha, José
dc.contributor.author	Nascimento, Luís
dc.contributor.author	Taboada Costa, Xavier
dc.contributor.editor	Mangoni, Arduino
dc.date.accessioned	2025-10-30T15:42:23Z
dc.date.available	2025-10-30T15:42:23Z
dc.date.issued	2025
dc.description.abstract	Community pharmacies play a vital role in public health, serving as the first point of contact for many patients. With the increasing workload and complexity of care, artificial intelligence (AI) is being explored as a way to enhance pharmaceutical services [1-3]. Objective: This literature review aims to explore the current AI-based hardware and software technologies applied in community pharmacy, the barriers to their implementation, and their impact on pharmaceutical care. Methodology: A literature review was conducted using PubMed, focusing on articles from 2020 to 2025. Keywords included “artificial intelligence”, “community pharmacy”, “hardware”, “software” and “robots”. Inclusion criteria prioritized full-text studies of scoping reviews, systematic reviews or narrative reviews, about AI applications in community pharmacy. Results: The review identified a variety of AI tools, such as dispensing robots, decision-support systems, inventory management platforms, and chatbots. Benefits reported include improved medication adherence (up to +40%), reduced dispensing errors (up to -75%), and increased operational efficiency. Major implementation barriers are high costs, insufficient training, lack of technological infrastructure, and data privacy concerns. Conclusion: AI technologies offer promising opportunities to optimize processes and enhance patient safety in community pharmacy. However, successful integration requires strategic investment in training, infrastructure, and ethical safeguards to ensure safe and effective use.	por
dc.identifier.citation	Castro, Francisco; Pires, Gonçalo; Pinto, Isabel C.; Cunha, José; Nascimento, Luís; Taboada, Xavier Costa (2025). Artificial intelligence tools in community pharmacy: a literature review. In 13th APLF Annual Conference. Aveiro. ISSN 2042-0986. 16:S1, p. 56-56
dc.identifier.doi	10.1177/ 20420986251379201
dc.identifier.issn	2042-0986
dc.identifier.issn	2042-0994
dc.identifier.uri	http://hdl.handle.net/10198/34900
dc.language.iso	eng
dc.peerreviewed	yes
dc.publisher	Associação Portuguesa de Licenciados em Farmácia (APLF)
dc.relation.hasversion	journals.sagepub.com/home/taw
dc.rights.uri	N/A
dc.subject	Artificial inteligence
dc.subject	Community pharmacy
dc.title	Artificial intelligence tools in community pharmacy: a literature review	eng
dc.type	conference object
dspace.entity.type	Publication
oaire.citation.conferencePlace	Expo-Aveiro, Parque das Exposições
oaire.citation.endPage	56
oaire.citation.issue	Issue S1
oaire.citation.startPage	56
oaire.citation.title	13th APLF Annual Conference
oaire.citation.volume	Volume 16
oaire.version	http://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyName	Pinto
person.familyName	Nascimento
person.familyName	Taboada Costa
person.givenName	Isabel C.
person.givenName	Luís
person.givenName	Xavier
person.identifier.ciencia-id	851B-247F-C650
person.identifier.ciencia-id	9918-ED25-623E
person.identifier.ciencia-id	FF14-5C05-5276
person.identifier.orcid	0000-0003-4745-6489
person.identifier.orcid	0000-0002-1302-2570
person.identifier.orcid	0000-0002-5813-1228
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