Publicação
Integrating professional knowledge in OTC recommendation systems
| dc.contributor.author | Torres, Beatriz | |
| dc.contributor.author | Oliveira, Alexandra | |
| dc.contributor.author | Alves, Sandra | |
| dc.contributor.author | Faria, Brígida Mónica | |
| dc.contributor.author | Alves, Sandra Maria | |
| dc.contributor.author | Faria, Brigida Monica | |
| dc.date.accessioned | 2026-09-16T08:54:47Z | |
| dc.date.available | 2026-09-16T08:54:47Z | |
| dc.date.issued | 2025-10 | |
| dc.description.abstract | Community Pharmacy is crucial in promoting public health by improving patients’ quality of life and minimizing medication-related risks [1]. While pharmacy professionals are responsible for dispensing both prescription and overthe-counter (OTC) products, current software systems lack comprehensive, up-to-date information about OTC options [2]. Although professionals are trained and knowledgeable in advising OTC products, enhancing these systems with reliable and safe algorithm would support them with evidence-based recommendations. To address this challenge, the development of a structured framework is proposed to guide the design and implementation of an Artificial Intelligence Health Product Recommendation System that incorporates product characteristics and professional knowledge. For this purpose, it was identified and categorized relevant product attributes (e.g., contraindications, adverse effects) and simultaneously, professionals were consulted to assess the relative importance (least (1) to most important (10)) of each attribute when counselling patients, considering their personal and professional characteristics. Descriptive and inferential statistical analyses were conducted using SPSS to explore the possible relationship between their evaluation about the attributes and their sociodemographic characteristics [3]. The attributes with the highest median importance were “Contraindications” and “Symptoms and Duration” (median = 9), while “Adverse Effects,” “Pharmaceutical Form,” and “Price” had the lowest median scores (median = 2). Sociodemographic factors did not significantly influence the importance assigned to each attribute. This expert input will allow the development of a weighted distance function to measure similarity between products and the development of clustering techniques to group similar products, resulting in a pharmacistcentred system. | eng |
| dc.identifier.citation | Torres, B., Oliveira, A., Alves, S., & Faria, B. M. (2025). Integrating Professional Knowledge in OTC Recommendation Systems. 13th APLF Annual Conference, TherapeuTic advances in drug safety 16(S1), 21. https://journals.sagepub.com/doi/epub/10.1177/20420986251379201 | |
| dc.identifier.eissn | 2042-0994 | |
| dc.identifier.issn | 2042-0986 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/32704 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | SAGE Publications | |
| dc.relation.hasversion | https://journals.sagepub.com/doi/epub/10.1177/20420986251379201 | |
| dc.rights.uri | N/A | |
| dc.subject | Health product recommendation system | |
| dc.subject | Community pharmacy | |
| dc.subject | Non-prescription products | |
| dc.title | Integrating professional knowledge in OTC recommendation systems | eng |
| dc.type | conference paper not in proceedings | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2025 | |
| oaire.citation.conferencePlace | Aveiro | |
| oaire.citation.issue | S1 | |
| oaire.citation.startPage | 21 | |
| oaire.citation.title | 13th APLF Annual Conference - TherapeuTic advances in drug safety | |
| oaire.citation.volume | 16 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Alves | |
| person.familyName | Faria | |
| person.givenName | Sandra Maria | |
| person.givenName | Brigida Monica | |
| person.identifier | 2571691 | |
| person.identifier | R-000-T1F | |
| person.identifier.ciencia-id | CF1F-D1D5-6BC1 | |
| person.identifier.ciencia-id | 0D1F-FB5E-55E4 | |
| person.identifier.orcid | 0000-0002-2318-7491 | |
| person.identifier.orcid | 0000-0003-2102-3407 | |
| person.identifier.rid | C-6649-2012 | |
| person.identifier.scopus-author-id | 6506476517 | |
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