Realizing the potential of AI in pharmacy practice: Barriers and pathways to adoption

bracu.type.groupResearch Publications
datacite.rightsOpen Access
dc.contributor.authorFahim M.I.A.
dc.contributor.authorTonny, Tamanna Shahrin
dc.contributor.authorAl Noman, Abdullah
dc.contributor.departmentSchool of Pharmacy
dc.date.accessioned2026-09-22T06:17:25Z
dc.date.available2026-09-22T06:17:25Z
dc.date.issued2024-06-01
dc.description.abstractArtificial intelligence (AI) has immense potential to revolutionize pharmacy operations by simplifying procedures, improving efficiency, and expediting pharmaceutical research. Nevertheless, obstacles such as steep expenses, absence of faith in AI, worries about unemployment, threats to privacy, and the incapacity to substitute human decision-making have impeded acceptance. This text discusses the future of AI in the field of pharmacy, obstacles that are preventing its usage, and methods to make its integration easier. The expansion of large data in healthcare offers chances for AI to obtain understanding, but examining and implementing information still presents difficulties. Significant obstacles such as costly implementation, safety concerns, restrictions on data exchange by regulations, and absence of interpersonal interaction need to be resolved. Methods to facilitate acceptance involve upgrading medical instruction to center around AI, involving interested parties, allocating resources for research and development, creating safeguarded machine learning methods, and carefully incorporating AI to enhance, rather than replace, pharmacy personnel. Although additional effort is required to establish confidence in AI and address genuine worries, specific actions can tap into AI's capacity to enhance effectiveness, lower expenses, expedite drug exploration, and improve healthcare for patients. Responsible and moral adoption requires tackling obstacles through cooperation among interested parties and gradual incorporation centered on enhancing human workforce, rather than substituting them.
dc.description.versionPublished
dc.format.extent4 pages
dc.identifier.citationMd Ismail Ahamed Fahim, Tamanna Shahrin Tonny, Abdullah Al Noman, Realizing the potential of AI in pharmacy practice: Barriers and pathways to adoption, Intelligent Pharmacy, Volume 2, Issue 3, 2024, Pages 308-311, ISSN 2949-866X, https://doi.org/10.1016/j.ipha.2024.02.003.
dc.identifier.doi10.1016/j.ipha.2024.02.003
dc.identifier.other2-s2.0-85201659829
dc.identifier.urihttps://hdl.handle.net/10361/30139
dc.language.isoen_US
dc.publisherElsevier Ltd
dc.relation.hasversion10.1016/j.ipha.2024.02.003
dc.relation.ispartofIntelligent Pharmacy
dc.relation.ispartofseriesIntelligent Pharmacy
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2949866X24000261?pes=vor&utm_source=scopus&getft_integrator=scopus
dc.subjectArtificial intelligence
dc.subjectClinical pharmacy
dc.subjectPharmacy management
dc.subject.lcshArtificial intelligence.
dc.subject.lcshPharmacology.
dc.subject.lcshPharmacy management.
dc.titleRealizing the potential of AI in pharmacy practice: Barriers and pathways to adoption
dc.typeArticle
oaire.citation.issue3
oaire.citation.volume2
person.affiliation.nameState University of Bangladesh
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.orcid0000-0001-7627-4970
person.identifier.scopus-author-id59286780700
person.identifier.scopus-author-id59005474000
person.identifier.scopus-author-id58197201300

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